Optimization of Power System Operation: Second Edition

Optimization of Power System Operation: Second Edition

Volumn , Issue , 2015, Pages 1-633

  Zhu, Jizhong ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; RENEWABLE ENERGY RESOURCES;

ELECTRIC POWER ENGINEERING; MULTI AREAS; MULTIPLE AREAS; OPTIMIZATION METHOD; POWER SYSTEM OPERATIONS; RENEWABLE ENERGIES; THEORETICAL DEVELOPMENT; TOTAL TRANSFER CAPABILITY;

SMART POWER GRIDS;

EID: 85015332953     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118887004     Document Type: Book

References (393)

1. Kirchamayer LK. Economic Operation of Power Systems. New York: Wiley; 1958.
2. El-HawaryME, Christensen GS. Optimal Economic Operation of Electric Power Systems. NewYork: Academic; 1979.
3. Gross C. Power System Analysis. New York: Wiley; 1986.
4. Wood AJ, Wollenberg B. Power Generation Operation and Control. 2nd ed. New York:Wiley; 1996.
5. Heydt GT. Computer Analysis Methods for Power Systems. Stars in a circle publications, AR; 1996.
6. Lee TH, Thorne DH, Hill EF. A transportation method for economic dispatching-application and comparison. IEEE Trans. on Power Syst. 1980;99:2372-2385.
7. Zhang WJ, Li FX, Tolbert LM. Review of reactive power planning: objectives, constraints, and algorithms. IEEE Trans. Power Syst. 2007;22(4):2177-2186.
8. Zhu J.Z, Hwang D, and Sadjadpour A "Real Time CongestionMonitoring andManagement of Power Systems," IEEE/PES T&D 2005 Asia Pacific, Dalian, August 14-18, 2005.
9. Nocedal J, Wright SJ. Numerical Optimization. Springer; 1999.
10. Luenberger DG. Introduction to Linear and Nonlinear Programming. USA: Addison-wesley Publishing Company, Inc.; 1973.
11. Kennedy J and Eberhart R, "Particle swarm optimization," in Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol. 4, 1995, pp. 1942-1948.
12. Hopfield JI. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. U.S.A. 1982;79:2554-2558.
13. Zhu JZ. Power System Optimal Operation. Tutorial of Chongqing University; 1990.
14. He Y,Wen ZY,Wang FY, Zhou QH. Power Systems Analysis. Huazhong Polytechnic University Press; 1985.
15. Keyhani A, Abur A, Hao S. Evaluation of power flow techniques for personal computers. IEEE Trans. on Power Syst. 1989;4(2):817-826.
16. Alsac O, Sttot B. Fast decoupled power flow. IEEE Trans. on Power Syst. 1974;93:859-869.
17. Van Amerongen RAM, "A general purpose version of the fast decoupled power flow," IEEE Summer Meeting, 1988.
18. Monticelli A, Garcia A, Saavedra OR. Decoupled power flow: hypothesis, derivations, and testing. IEEE Trans. on Power Syst. 1990;5(4):1425-1431.
19. Abur A, Expósito AG. Power System State Estimation Theory and Implementation. New York: Wiley-IEEE Press; 2004.
20. Zhu JZ. Power system state estimation. In: Robinson OE, editor. Electric Power Systems in Transition. New York: Nova Science Publishers, Inc.; 2010.
21. Dy-Liyacco TE. Control centers are here to stay. IEEE Comput. Appl. Pow 2002;15(4):18-23.
22. Winser N. FERC's standard market design: the ITC perspective, 2002 IEEE PES summer meeting, Chicago, IL. July 22-26, 2002.
23. Ott A. Experience with PJM market operation, system design, and implementation. IEEE Trans. on Power Syst. 2003;18(2):528-534.
24. Kathan D. FERC's standard market design proposal, 2003 ACEEE/CEE National Symposium onMarket Transformation, Washington, DC, April 15, 2003.
25. Zhu JZ, Hwang D, Sadjadpour A. An approach of generation scheduling in energy markets, POWERCON 2006, Chongqing, October 22-28, 2006.
26. Dommel HW, Tinney WF. Optimal power flow solutions. IEEE Trans. on PAS 1968;PAS-87(10): 1866-1876.
27. Ilic M, Galiana FD, Fink L. Power Systems Restructuring: Engineering and Economics. Norwell, MA: Kluwer; 1998.
28. Kirschen D, Allan R, Strbac G. Contributions of individual generators to loads and flows. IEEE Trans. Power Syst. 1997;12(1):52-60.
29. Schweppe F, Caramanis M, Tabors R, Bohn R. Spot Pricing of Electricity. Norwell, MA: Kluwer; 1988.
30. Conejo AJ, Galiana FD, Kochar I. Z-Bus loss allocation. IEEE Trans. Power Syst. 2001;16(1): 105-110.
31. Galiana FD, Conjeo AJ, Korkar I. Incremental transmission loss allocation under pool dispatch. IEEE Trans. Power Syst. 2002;17(1):26-33.
32. Elgerd OI. Electric Energy Systems Theory: An Introduction. New York: McGraw-Hill; 1982.
33. Zhu JZ, Hwang D, Sadjadpour A. Loss sensitivity calculation and analysis, in Proceeding 2003 IEEE General Meeting, Toronto, July 13-18, 2003.
34. Zhu JZ, Hwang D, Sadjadpour A. Real time loss sensitivity calculation in power systems operation. Electr. Pow. Syst. Res. 2005;73(1):53-60.
35. Zhu JZ, Hwang D, Sadjadpour A. The implementation of alleviating overload in energy markets, IEEE/PES 2007 general meeting, June 24-28, 2007.
36. Zhu JZ, Hwang D, Sadjadpour A. Calculation of several sensitivity in real time transmission network and energy markets, Power-Grid Europe 2007, Spain, June 23-26, 2007.
37. Wood AJ, Wollenberg BF. Power Generation, Operation, and Control. New York: 2nd ed.; 1996.
38. Zhu JZ, Irving MR. Combined active and reactive dispatch with multiple objectives using an analytic hierarchical process. IEE Proc. C, 1996;143(4):344-352.
39. Mansour MO, Abdel-Rahman TM. Non-linear VAR optimization using decomposition and coordination. IEEE Trans. PAS, 1984;103:246-255.
40. Dandachi NH, Rawlins MJ, Alsac O, Stott B. OPF for reactive pricing studies on the NGC system. IEEE Power Industry Computer Applications Conference, PICA'95, Utah, May 1995, pp. 11-17.
41. Alsac O, Stott B. Optimal power flow with steady-state security. IEEE Trans., PAS, 1974;93:745-751.
42. Momoh JA, Zhu JZ. Improved interior point method for OPF problems. IEEE Trans. on Power Syst. 1999;14(3):1114-1120.
43. Begovic M, Phadke AG. Control of voltage stability using sensitivity analysis. IEEE Trans. on Power Syst. 1992;7:114-123.
44. Nanda J, Narayanan RB. Application of genetic algorithm to economic load dispatch with Line-flow constraints. Electr. Power and Energ. Syst. 2002;24:723-729.
45. Walters DC, Sheble GB. Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans. on Power Syst. 1993;8(3).
46. Sheble GB, Brittig K. Refined genetic algorithm-economic dispatch example. IEEE Trans. on Power Syst. 1995;10(1).
47. Park JH, Kim YS, Eom IK, Lee KY. Economic load dispatch for piecewise quadratic cost function using Hopfield neural networks. IEEE Trans on Power Syst. 1993;8(3):1030-1038.
48. King TD, El-Hawary ME, El-Hawary F. Optimal environmental dispatching of electric power system via an improved Hopfield neural network model. IEEE Trans on Power Syst. 1995;10(3):1559-1565.
49. Lee KY, Yome AS, Park JH. Adaptive neural networks for economic load dispatch. IEEE Trans on Power Syst. 1998;13(2):519-526.
50. Wong KP, Fung CC. Simulated-annealing-based economic dispatch algorithm. IEE Proc. Part C, 1993140(6):509-515.
51. Fletcher, R. Practical Methods of Optimization. John Wiley and Sons, 1987.
52. Broyden, CG. The convergence of a class of double-rank minimization algorithms. J. Inst. Maths. Applics. 1970;6:76-90.
53. Fletcher, R. A new approach to variable metric algorithms. Comput. J. 1970;13:317-322.
54. Goldfarb D. A family of variable metric updates derived by variational means. Math. Comput. 1970;24:23-26.
55. Shanno DF. Conditioning of quasi-Newton methods for function minimization. Math. Comput. 1970;24:647-656.
56. Fletcher R, Powell MJD. A rapidly convergent descent method for minimization. Comput. J. 1963;6:163-168.
57. Holland JH. Adaptation in Nature and Artificial Systems. The University of Michigan Press; 1975.
58. Goldberg DE. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addision-Wesley; 1989.
59. Alsac O, Stott B. Optimal load flow with steady-state security. IEEE Trans., PAS 1974;745- 751.
60. Zhu JZ, Xu GY. A new economic power dispatch method with security. Electr. Pow. Syst. Res. 1992;25:9-15.
61. Irving MR, Sterling MJH. Economic dispatch of active power with constraint relaxation. IEE Proc. C 1983;130:172-177.
62. Lee TH, Thorne DH, Hill EF. A transportation method for economic dispatching-application and comparison. IEEE Trans., PAS 1980;99:2372-2385.
63. Hobson E, Fletcher DL, StadlinWO. Network flow linear programming techniques and their application to fuel scheduling and contingency analysis. IEEE Trans., PAS 1984;103:1684-1691.
64. Elacqua AJ, Corey SL. Security constrained dispatch at the New York power pool. IEEE Trans., PAS 1982;101:2876-2884.
65. Momoh JA, Brown GF, Adapa R. "Evaluation of interior point methods and their application to power system economic dispatch," Proceedings of the 1993 North American Power Symposium, October 11 and 12, 1993.
66. Zhu JZ, Xu GY. Application of out-of-kilter algorithm in network programming technology to real power economic dispatch. J Chongqing Univ 1988;11(2).
67. Zhu JZ, Xu GY. The convex network flow programming model and algorithm of real power economic dispatch with security. Control Decis. 1991;6(1):48-52.
68. Zhu JZ, Chang CS. A new model and algorithm of secure and economic automatic generation control. Electr. Pow. Syst. 1998;45(2):119-127.
69. Zhu JZ. Application of Network Flow Techniques to Power Systems. WA: Tianya Press, Technology; 2005.
70. Zhu JZ, Irving MR, Xu GY. A new approach to secure economic power dispatch. Int. J. Elec. Power 1998;20(8):533-538.
71. Zhu JZ, Xu GY. Network flow model of multi-generation plan for on-line economic dispatch with security. Modeling, Simulation & Control, A 1991;32(1):49-55.
72. Zhu JZ, Xu GY. Secure economic power reschedule of power systems. Modeling, Measurement & Control, D 1994;10(2):59-64.
73. Nanda J, Narayanan RB. Application of genetic algorithm to economic load dispatch with Line flow constraints. Int. J. Elec. Power 2002;24:723-729.
74. Zhu JZ, Xu GY. Approach to automatic contingency selection by reactive type performance index. IEE Proc. C 1991;138:65-68.
75. Zhu JZ, Xu GY. A unified model and automatic contingency selection algorithm for the P and Q sub-problems. Electr. Pow. Syst. Res. 1995;32:101-105.
76. Smith DK. Network optimization practice. Chichester, UK: Ellis Horwood; 1982.
77. Hadley G. Linear Programming. Reading, MA: Addison-Wesley; 1962.
78. Strayer JK. Linear Programming and Applications. Springer-Verlag; 1989.
79. Bazaraa M, Jarvis J, Sherali H. Linear Programming and Network Flows. 2 ed. New York: Wiley; 1977.
80. Zhu JZ. Multiarea power systems economic dispatch using a nonlinear optimization neural network approach. Electr. Pow. Compo. Sys. 2002;31:553-563.
81. Chang CS, Liew AC, Xu JX, Wang XW, Fan B. Dynamic security constrained multiobjective generation dispatch of longitudinally interconnected power systems using bicriterion global optimization, IEEE/PES Summer Meeting, 1995, SM 578-5.
82. Streiffert D. Multiarea economic dispatch with tie line constraints, IEEE/PES Winter Meeting, 1995, WM 179-2.
83. Wang C, Shahidehpour SM. Power generation scheduling for multiarea hydro-thermal systems with tie line constraints, cascaded reservoirs and uncertain data. IEEE Trans., PAS 1993;8(3):1333-1340.
84. Dommel HW, TinneyWF. Optimal power flow solutions. IEEE trans., PAS 1968;87(10):1866-1876.
85. Sun DI, Ashley B, Hughes A, Tinney WF. Optimal power flow by Newton approach. IEEE Trans., PAS 1984;103(10):2864-2880.
86. Irving MR, Sterling MJH. Economic dispatch of active power with constraint relaxation. IEE Proc. C 1983;130(4).
87. Irving MR, Sterling MJH. Efficient Newton-Raphson algorithm for load flow calculation in transmission and distribution networks. IEE Proc. C 1987;134.
88. Walters DC, Sheble ZC. Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans., on Power Syst. 1993;8(3).
89. Salami M, Cain G. Multiple genetic algorithm processor for the economic power dispatch problem, Proceedings of International Conference on genetic algorithm in engineering systems, UK, September, 1995, pp. 188-193.
90. Lo KL, Zhu SP. A theory for pricing wheeled power. Electr. Pow. Syst. Res. 1994;28.
91. Caramanis MC, Bohn RE, Schweppe FC. The costs of wheeling and optimal wheeling rates. IEEE Trans. on Power Syst. 1986;PWRS(1).
92. Happ HH. Cost of Wheeling Methodology. IEEE Trans. on Power Syst. 1994;9(1).
93. Purdue ECE Technical Reports, Real time pricing of electric power, 1995, http://docs.lib.purdue.edu/ ecetr/120
94. Zhu JZ, Chang CS. Energy transaction scheduling with network constraints and transmission losses, Proceedings of International Conference on advances in power system control, operation and management, APSCOM-97, November 11-14, 1997, Hong Kong.
95. Li YZ, David AK. Optimal multiarea wheeling. IEEE Trans. on Power Syst. 1994;9(1).
96. Bazaraa MS, Aherali HD, Shetty CM. Nonlinear Programming: Theory and Algorithms. New York: John Wiley; 1993.
97. Maa CY, Shanblatt MA. A two-phase optimization neural network. IEEE T. Neural Networ 1992;3(6).
98. Min L, Abur A. Total transfer capability computation for multiarea power systems. IEEE Trans. on Power Syst. 2006;21(3):1141-1147.
99. Ajjarapu V, Christy C. The continuation power flow: A tool for steady state voltage stability analysis. IEEE Trans. Power Syst. 1992;7(1):416-423.
100. Canizares CA, Alvarado FL. Point of collapse and continuation methods for large ACDC systems. IEEE Trans. Power Syst. 1993;8(1):1-8.
101. Chiang HD, Flueck AJ, Shah KS, Balu N. CPFLOW: A practical tool for tracing power system steady-state stationary behavior due to load and generation variations. IEEE Trans. Power Syst. 1995;10(2):623-634.
102. Dimo P. Nodal Analysis of Power System. Turibrige Wells, Kent, U.K.: Abacus Press; 1975.
103. Tinney WF, Powell WL. The REI approach to power network equivalents, Transl.: 1977 PICA Conference in Toronto, ON, Canada, May 1977, pp. 312-320.
104. Cohen AI, Yoshimura M. A branch and bound algorithm for unit commitment. IEEE Trans. Power Syst. 1982;PAS-101:444-451.
105. Cohen AI, Wan SH. A method for solving the fuel constrained unit commitment. IEEE Trans. Power Syst. 1987;1:608-614.
106. Snyder WL, Powell HD, Rayburn C. Dynamic programming approach to unit commitment. IEEE Trans. Power Syst. 1987;PWRS-2:339-350.
107. Vemuri S, Lemonidis L. Fuel constrained unit commitment. IEEE Trans. Power Syst. 1992;7:410-415.
108. Ruzic S, Rajakovic N. A new approach for solving extended unit commitment problem. IEEE Trans. Power Syst. 1991;6:269-277.
109. Allen EH, Ilic MD, Stochastic unit commitment in a deregulated utility industry, in Proceedings on 29th North America Power Symposium, Laramie, Wyoming, October 1997, pp. 105-112.
110. Momoh JA, Zhu JZ. Optimal generation scheduling based on AHP/ANP. IEEE Trans. on Systems, Man, and Cybernetics-Part B 2003;33(3):531-535.
111. Lauer GS, Bertsekas DP, Sandell NR Jr, Posbergh TA. Solution of large-scale optimal unit commitment problems. IEEE Trans. Automat. Contr. 1982;AC-28:1-11.
112. Merlin A, Sandrin P. A new method for commitment at electricitéde France. IEEE Trans. Power Syst. 1983;PAS-102:1218-1255.
113. Ouyang Z, Shahiderpour SM. Short term unit commitment expert system. Int. J. Elect. Power Syst. Res. 1990;20:1-13.
114. Su CC, Hsu YY. Fuzzy dynamic programming: an application to unit commitment. IEEE Trans. Power Syst. 1991;6:1231-1237.
115. Sasaki H, Watanabe M, Kubokawa J, Yorino N. A solution method of unit commitment by artificial neural networks. IEEE Trans. Power Syst. 1992;7:974-981.
116. Padhy NP. Unit commitment using hybrid models: a comparative study for dynamic programming, expert systems, fuzzy system and genetic algorithms. Int. J. Elect. Power Energy Syst. 2000;23(1):827-836.
117. Mantawy AH, Youssef YL, Abdel-Magid L, Shokri SZ, Selim Z. A unit commitment by Tabu search. Proc. Inst. Elect. Eng. Gen. Transm. Dist. 1998;145(1):56-64.
118. Juste KA, Kita H, Tanaka E, Hasegawa J. An evolutionary programming solution to the unit commitment problem. IEEE Trans. Power Syst. 1999;14:1452-1459.
119. Yang HT, Yang PC, Huang CL. Evolutionary programming based economic dispatch for units with nonsmooth fuel cost functions. IEEE Trans. Power Syst. 1996;11:112-117.
120. Mantawy AH, Abdel-Magid YL, Selim SZ. Integrating genetic algorithm, Tabu search and simulated annealing for the unit commitment problem. IEEE Trans. Power Syst. 1999;14:829-836.
121. Rajan CCA,MohanMR. An evolutionary programming-based tabu search method for solving the unit commitment problem. IEEE Trans. Power Syst. 2004;19(1):577-585.
122. Balci HH, Valenzuela JF. Scheduling electric power generators using particle swarm optimization combined with the lagrangian relaxation method. Int. J. Appl. Math. Comput. Sci. 2004;14(3):411-421.
123. Ting TO, Rao MVC, Loo CK. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization. IEEE Trans. Power Syst. 2006;21(1):411-418.
124. Li WY. Power Systems Security Economic Operation. Chongqing: Chongqing University Press; 1989.
125. Kennedy J, Eberhart R, Particle swarm optimization. Presented at Proceedings of IEEE International Conference on neural networks. [Online]. Available: http://www.engr.iupui.edu/~shi/Conference/ psopap4.html.
126. Fogel DB. Evolutionary Computation, Toward a New Philosophy of Machine Intelligence. Piscataway, NJ: IEEE Press; 1995.
127. Back T. Evolutionary Algorithms in Theory and Practice. New York: Oxford University Press; 1996.
128. Fogel LJ, Owens AJ, Walsh MJ. Artificial Intelligence Through Simulated Evolution. New York: Wiley; 1996.
129. Zhu JZ, Momoh JA. Optimal VAr pricing and VAr placement using analytic hierarchy process. Elec. Power Syst. Res. 1998;48:11-17.
130. Satty TL. The Analytic Hierarchy Process. Canada: McGraw Hill, Inc; 1980.
131. Zhu JZ, Irving MR, The development of Combined active and reactive dispatch, Part I: Mathematical model and algorithm, Research Report No.1, Brunel Institute of Power Systems, Brunel University, March, 1995.
132. Ledermann W. Handbook of ApplicableMathematics.Algebra.Vol. I.NewJersey:Wiley-Interscience; 1980.
133. Wilf HS. Mathematics for the Physical Sciences. New Jersey: Wiley; 1962.
134. Carpentier J. Contribution e létude do dispatching economique. Bull. Soc. Franc. Elect. 1962:431-447.
135. Dommel HW, Tinney WF. Optimal power flow solutions. IEEE Trans. on Power Syst. 1968;87(10):1866-1876.
136. Alsac O, Stott B. Optimal power flow with steady-state security. IEEE Trans. on Power Syst. 1974;93:745-75.
137. Sun DI, Ashley B, Hughes A, Tinney WF. Optimal power flow by Newton approach. IEEE Trans. Power Syst. 1984;103:2864-2880.
138. Irving MR, Sterling MJH. Economic dispatch of active power with constraint relaxation. IEE Proc., Part C 1983;130(4).
139. Dias LG, El-Hawary ME. Security-constrained OPF: influence of fixed tap transformer fed loads. IEEE Trans. Power Syst. 1991;6(4):1366-1372.
140. Zhu JZ, Xu GY. Comprehensive investigation of real power economic dispatch with N and N-1 security, Proc. of 1991 Intern. Conf. on Power Systems Technology, Beijing, 1991.
141. Zhu JZ, Xu GY. A new real power economic dispatch method with security. Electr. Power Syst. Res. 1992;25(1):9-15.
142. Papalexopoulos AD, Imparato CF, Wu FF. Large scale optimal power flow: effects of initialization decoupling and discretization. IEEE Trans. on Power Syst. 1989;4:748-759.
143. Chebbo AM, Irving MR. Combined active and reactive dispatch, Part I: problem formulation and solution. IEE Proc., Part C 1995;142(4):393-400.
144. Zhu JZ, Chang CS. Security-constrained multiarea economic load dispatch using nonlinear optimization neural network approach, 1997 Intern. Conf. on Intelligent System Applications to Power Systems, Seoul Korea, July, 1997.
145. Hobson E, Fletcher DL, Stadlin WO. Network flow linear programming techniques and their application to fuel scheduling and contingency analysis. IEEE Trans. on Power Syst. 1984;103: 1684-1691.
146. Li WY. Secure Economic Operation of Power Systems. Chongqing University Press; 1989.
147. Alsac O, Bright J, Prais M, Stott B. Further developments in LP-based optimal power flow. IEEE Trans. on Power Syst. 1990;5:697-711.
148. Chen YL, Liu CC. Optimal Multi-Objective VAR Planning using an Interactive Satisfying Method IEEE PES, 1994 Summer Meeting, July, 1994, pp. 24-28.
149. Mamandur K, Chenoweth R. Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization. IEEE Trans. on Power Syst. 1981;100:3185-3194.
150. Mansour MO, Abdel-Rahman TM. Non-linear VAR optimization using decomposition and coordination. IEEE Trans. on Power Syst. 1984;103:246-255.
151. Acha E, Perez HA, Esquivel CR. Advanced transformer control modeling in an optimal power flow using Newton's method. IEEE Trans. on Power Syst. 2000;15(1):290-298.
152. Zhu JZ, Irving MR. A new approach to secure economic power dispatch. Int. J. Electr. Power Energy. Syst. 1998;20(8):533-538.
153. Zhu JZ, Momoh JA. Multi-area power systems economic dispatch using nonlinear convex network flow programming. Electr. Power Syst. Res. 2001;59(1):13-20.
154. Momoh JA, Zhu JZ, Boswell GD, Hoffman S. Power system security enhancement by OPF with phase shifter. IEEE Transactions on Power Syst. 2001;16(2):287-293.
155. Momoh JA, Zhu JZ, Dolce JL.Optimal allocationwith network limitation for autonomous space power system. AIAA Journal-J. Propul. Power 2000;16(6):1112-1117.
156. Momoh JA, Zhu JZ. Improved interior point method for OPF problems. IEEE Transactions on Power Syst. 1999;14(3):1114-1120.
157. Momoh JA, Adapa R, El-Hawary ME. A review of selected optimal power flow literature to 1993-I: nonlinear and quadratic programming approaches. IEEE Trans. Power Syst. 1999;14(1): 96-104.
158. Momoh JA, El-Hawary ME, Adapa R. A review of selected optimal power flow literature to 1993-II: Newton, linear programming and interior point methods. IEEE Trans. Power Syst. 1999;14(1):105-111.
159. Clements KA, Davis PW, Frey KD. An Interior Point Algorithm for Weighted Least Absolute value Power System State Estimation, IEEE PES Winter Meeting, 1991.
160. Ponnambalam K, Quintana VH, Vannelli A. A Fast Algorithm for Power System Optimization Problems Using an Interior Point Method, IEEE PES Winter Meeting, 1991.
161. Vargas LS, Quintana VH, Vannelli A. A Tutorial Description of an Interior Point Method and its Application to Security-Constrained Economic Dispatch, IEEWPES 1992 Summer Meeting.
162. Momoh JA, Guo SX, Ogbuobiri CE, Adapa R. The quadratic interior point method for solving power system optimization problems. IEEE Trans. on Power Syst. 1994;9.
163. Lu NC, Unum MR. Network constrained security control using an interior point algorithm. IEEE Trans. on Power Syst. 1993;8.
164. Granville S. Optimal reactive dispatch through interior-point methods. IEEE Trans. Power Syst. 1994;9:136-146.
165. Momoh JA, Brown GF, Adapa RA. Evaluation of Interior Point Methods and Their Application to Power Systems Economic Dispatch, Proc. of North American Power Symposium, Washington, D.C., October 1993, pp. 116-123.
166. Wei H, Sasaki H, Yokoyama R. An application of interior point quadratic programming algorithm to power system optimization problems. IEEE Trans. on Power Syst. 1996;11:260-266.
167. Granville S, Mello JCO, Melo ACG. Application of interior point methods to power flow un-solvability. IEEE Trans. on Power Syst. 1996;11:1096-1103.
168. Wu YC, Debs AS, Marsten RE. A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows. IEEE Trans. Power Syst. 1994;9:876-883.
169. Torres GL, Quintana VH. An interior-point method for nonlinear optimal power flow using voltage rectangular coordinates. IEEE Trans. Power Syst. 1998;13:1211-1218.
170. Castronuovo ED, Campagnolo JM, Salgado R. Optimal power flow solutions via interior point method with high-performance computation techniques, in Proc. 13th PSCC in Trondheim, June 28-July 2, 1999, pp. 1207-1213.
171. Jabr RA, Coonick AH, Cory BJ. A prime-dual interior point method for optimal power flow dispatching. IEEE Trans. Power Syst. 2002;17(3):654-662.
172. Xie K, Song YH, Stonham J, Yu E, Liu G. Decomposition model and interior point methods for optimal spot pricing of electricity in deregulation environments. IEEE Trans. Power Syst. 2000;15(1): 39-50.
173. Zhu JZ, Yan W, Chang CS, Xu GY. Reactive power optimization using an analytic hierarchical process and a nonlinear optimization neural network approach. IEE Proc. Gener., Transm. Distrib. 1998;145(1):89-96.
174. Zhu JZ, Momoh JA. OptimalVAR pricing andVAR placement using analytic hierarchy process. Electr. Power Syst. Res. 1998;48(1):11-17.
175. Zhu JZ, Xiong XF. Optimal reactive power control using modified interior point method. Electr. Power Syst. Res. 2003;66:187-192.
176. Zhu JZ. Multi-area power systems economic dispatch using a nonlinear optimization neural network approach. Electr. Pow. Compo. Sys. 2002;31:553-563.
177. Kulworawanichpong T, Sujitjorn S. Optimal power flow using tabu search. IEEE Power Eng. Rev. 2002;22(6):37-55.
178. Walters DC, Sheble GB. Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans. Power Syst. 1993;8(3):1325-1332.
179. Wong KP, Li A, Law TMY. Advanced constrained genetic algorithm load flow method. IEE Proc. C 1999;146(6):609-618.
180. Abdul-Rahman KH, Shahidehpour SM. Application of fuzzy sets to optimal reactive power planning with security constraints. IEEE Trans. Power Syst. 1994;9(2):589-597.
181. Lai LL, Ma JT. Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach. IEEE Trans. Power Syst. 1997;12(1):198-206.
182. Jwo WS, Liu CW, Liu CC, Hsiao YT. Hybrid expert system and simulated annealing approach to optimal reactive power planning. IEE Proc. Gener., Transm. Distrib. 1995;142(4):381-385.
183. Yokoyama R, Bae SH, Morita T, Sasaki H. Multiobjective optimal generation dispatch based on probability security criteria. IEEE Trans. Power Syst. 1988;3(1):317-324.
184. Lin W-M, Cheng F-S, Tsay M-T. An improved Tabu search for economic dispatch with multiple minima. IEEE Trans. Power Syst. 2002;17:108-112.
185. Deeb N. Simulated annealing in power systems, in Proc. IEEE Int. Conf. Man and Cybernetics, October 1992, vol. 2, pp. 1086-1089.
186. Korsak AJ. On the question of uniqueness of stable load-flow solutions. IEEE Trans. Power App. Syst. 1972;PAS-91(3):1093-1100.
187. Vlachogiannis JG, Lee KY. A comparative study on particle swarm optimization for optimal steady-state performance of power systems. IEEE Trans. Power Syst. 2006;21(4):1718-1728.
188. Park JB, Lee KS, Shin JR, Lee KY. A particle swarm optimization for economic dispatch with nonsmooth cost functions. IEEE Trans. Power Syst. 2005;20(1):34-42.
189. Gaing ZL. Constrained optimal power flow by mixed-integer particle swarm optimization, in Proc. IEEE Power Eng. Soc. General Meeting, San Francisco, CA, 2005, pp. 243-250.
190. Zhao B, Guo CX, Cao YJ. Improved particle swarm optimization algorithm for OPF problems, in Proc. IEEE/PES Power Systems Conf. Exposition, New York, 2004, pp. 233-238.
191. Abido MA. Optimal power flow using particle swarm optimization. Int. J. Elect. Power Energy Syst. 2002;24(7):563-571.
192. AlRashidiMR, El-HawaryME. Hybrid particle swarm optimization approach for solving the discrete OPF problem considering the valve loading effects. IEEE Trans. Power Syst. 2007;22(4):2030-2038.
193. Kodsi SKM, Cañizares CA. Application of a stability-constrained optimal power flow to tuning of oscillation controls in competitive electricity markets. IEEE Trans. Power Syst. 2007;22(4):1944-1954.
194. Fletcher R, Leyffer S. Nonlinear programming without a penalty function, Univ. of Dundee, Dundee, U.K., Numeric. Anal. Rep. NA/171, September 22, 1997.
195. Wright SJ. Primal Dual Interior Point Methods. Philadelphia, PA: SIAM; 1997.
196. Gay DM, Overton ML, Wright MH. A primal-dual interior method for non-convex nonlinear programming, Computing Sciences Research Center, Bell Laboratories, Murray Hill, NJ, Tech. Rep. 97-4-08, July 1997.
197. Mehrotra S. On the implementation of a primal-dual interior point method. SIAM J. Optim. 1992;2:575-601.
198. Avriel M, Golany B. Mathematical Programming for Industrial Engineers. NewYork: Marcel Dekker; 1996.
199. Eberhart R, Kennedy J. A new optimizer using particle swarm theory, in Proc. 6th Int. Symp. Micro Machine and Human Science, Nagoya, Japan, 1995, pp. 39-43.
200. Kennedy J, Eberhart R. Particle swarm optimization, in Proc. IEEE Int. Conf. Neural Networks, Perth, Australia, 1995, vol. 4, pp. 1942-1948.
201. Hu X, Shi Y, Eberhart R. Recent advances in particle swarm, in Proc. Congr. Evolutionary Computation, Portland, OR, 2004, vol. 1, pp. 90-97.
202. Eberhart RC, Shi Y. Guest editorial special issue on particle swarm optimization. IEEE Trans. Evol. Comput. 2004;8(3):201-203.
203. Kennedy J, Eberhart RC. Swarm Intelligence. San Francisco, CA: Morgan Kaufmann; 2001.
204. Parrish JK, Hammer WM. Animal Groups in Three Dimensions. Cambridge, U.K.: Cambridge University Press; 1997.
205. He S,Wu QH,Wen JY, Saunders JR, Patton PC.Aparticle swarm optimizer with passive congregation. Biosyst. 2004;78:135-147.
206. Hnyilicza E, Lee STY, Schweppe FC. Steady-state security regions: set-theoretic approach, Proceedings of PICA Conference, pp. 347-355, 1975.
207. Fischl R, Ejebe GC, and DeMaio JA. Identification of power system steady-state security regions under load uncertainty, IEEE summer power meeting, Paper A76 495-2. IEEE Trans on PAS Vol. 95, No. 6, p. 1767, 1976
208. DeMaio JA, Fischl R. Fast identification of the steady-state security regions for power system security enhancement, IEEE winter power meeting, A.76076-0. IEEE Trans. on PAS, Vol. 95, No. 3, p. 758, 1976.
209. Galiana FD, Banakar MH. Approximation formula for dependent load flow variables, Paper F80 200-6, IEEE winter conference, New York, February 1980.
210. Banakar MH, Galiana FD. Power system security corridors concept and computation. IEEE Trans., PAS 1981;100:4524-4532.
211. Wu FF, Kumagai S. Steady-state security regions of power system. IEEE Trans., CAS 1982;29:703-711.
212. Liu CC. A new method for construction of maximal steady-state regions of Power Systems. IEEE Trans. PWRS. 1986;4:19-27.
213. Zhu JZ. A new expanding method to real power steady-state security regions of power system, Proceedings of Chinese Youth Excellent Science&Technology Papers, 1994, pp. 664-668, Science Press.
214. Zhu JZ, Xu GY. Application of network theory with fuzzy to real power steady-state security regions. Power Syst. Autom. 1994;5(3).
215. Fan RQ, Zhu JZ, Xu GY. Power steady-state security regions with loads change. Power Syst. Autom. 1994;5(4).
216. Li Y, Zhu JZ, Xu GY. Study of power system steady-state regions. Proc. Chinese Soc. Electr. Eng. 1993;13(2):15-22.
217. Zhu JZ, Chang CS. A new approach to steady-state security regions with N and N-1 security, 1997 Intern. Power Eng. Conf., IPEC'97, Singapore, May, 1997.
218. Zhu JZ, Fan RQ, Xu GY, Chang CS. Construction of maximal steady-state security regions of power systems using optimization method. Electr. Pow. Syst. Res. 1998;44:101-105.
219. Zhu JZ. Optimal power systems steady-state security regions with fuzzy constraints. Proceedings of IEEE Winter Meeting, New York, January 27-30, 2002, Paper No. 02WM033.
220. Stott B, Marinho JC. Linear programming for power system network security applications. IEEE Trans., PAS 1979;98:837-848.
221. Elacqua AJ, Corey SL. Security constrained dispatch at the New York power pool. IEEE Trans., PAS 1982;101:2876-2884.
222. Zhu JZ, Xu GY. A New Economic Power Dispatch Method with Security. Electr. Pow. Syst. Res. 1992;25:9-15.
223. Zhu JZ, Irving MR. Combined active and reactive dispatch with multiple objectives using an analytic hierarchical process, IEE Proceedings, Part C, Vol. 143, pp. 344-352, 1996.
224. Zhu JZ, Xu GY. A Unified Model and Automatic Contingency Selection Algorithm for the P and Q Subproblems. Electr. Pow. Syst. Res. 1995;32:101-105.
225. Zhu JZ, Xu GY. Approach to automatic contingency selection by reactive type performance index, IEE Proceedings, Part C, Vol. 138, pp. 65-68, 1991
226. Ferguson TS. Linear programming. Academic Press; 1967.
227. Dantzig GB. Linear Programming and Extensions. Princeton University Press; 1963.
228. Vanderbei RJ. Linear Programming: Foundations and Extensions. Boston: Kluwer; 1996.
229. Luenberger DG. Introduction to linear and nonlinear programming. USA: Addison-wesley Publishing Company, Inc; 1973.
230. Hadley G. Linear programming. Reading, MA: Addison-Wesley; 1962.
231. Strayer JK. StrayerLinear Programming and Applications. Springer-Verlag; 1989.
232. Zhu JZ. Renewable Energy Applications in Power Systems. New York: Nova Press; 2012.
233. Zhu JZ, Cheung K. Summary of environment impact of renewable energy resources. Adv. Mat. Res. 2013;616-618:1133-1136.
234. Hamrouni N, Chérif A. Modelling and control of a grid connected photovoltaic system. Int. J. Elec. and Power Eng. 2007;1(3):307-313.
235. Babu BP, Reddy IP. Operation and control of grid connected PV-FC hybrid power system. Int. J. Eng. Sci. 2013;2(9):52-63.
236. Chenni R, Makhlouf M, Kerbache T, et al. A detailed modeling method for photovoltaic cells. Energy 2007;32(9):1724-1730.
237. Kim SK, Jeon JH, Cho CH, et al. Modeling and simulation of a grid-connected PV generation system for electromagnetic transient analysis. Sol. Energ. 2009;83(5):664-678.
238. Zhu JZ, Cheung K. Voltage impact of photovoltaic plant in distributed network. 2012 IEEE APPEEC Conference, Shanghai, China, March 27-29, 2012.
239. Zhu JZ, Xiong XF, Cheung K. Research and development of photovoltaic power systems in China, IEEE PES General Meeting, Detroit, MI, July 25-28, 2011.
240. Zhou NC, Zhu JZ. Voltage assessment in distributed network with photovoltaic plan. ISRN Renew. Energ., 2011.
241. Ackerman T. Wind Power in Power Systems. Wiley; 2005.
242. Hatziargyriou N, Zervos A. Wind power development in Europe. Proc. IEEE 2001;89(12): 1765-1782.
243. Wiser R, Bolinger M. Annual report on US wind power installation, cost, and performance trends: 2007, Energy Efficiency and Renewable Energy, US Department of Energy, Washington, DC; 2008.
244. Zhu JZ, Cheung K. Analysis of regulating wind power for power system, IEEE PES General Meeting, Calgary, Canada, July 26-30, 2009.
245. Zhu JZ, Cheung K. Selection of wind farm location based on fuzzy set theory. 2010 IEEE PES General Meeting, Minneapolis, MN, July, 2010.
246. Lin L, Zhou N, Zhu JZ. Analysis of voltage stability in a practical power system with wind power. Electr. Pow. Compo. Sys. 2010;38(7):753-766.
247. Lin L,Guo W,Wang J, Zhu JZ. Real-time voltage controlmodelwith power and voltage characteristics in the distribution substation. Int. J. Elec. Power. 2013;33(1):8-14.
248. Bollen MHJ, Olguin G,MartinsM. Voltage dips at the terminals of wind power installations, NORDIC Wind Power Conference, March 1-2, 2004, Chalmers University of Technology.
249. Bollen MHJ. Understanding Power Quality-Voltage sags and Interruptions. New York: IEEE Press; 2000.
250. Van Cutsem T, Vournas C. Voltage Stability of Electric Power Systems. Norwell, MA: Kluwer; 1998.
251. Fan YF, Chao Q. Modeling and simulation of wind asynchronous-generator. Comput. Simulat. 2002;19(5):56-58.
252. Arai J, Yokoyama R, Iba K, Zhou Y, Nakanishi Y. Voltage deviation of power generation due to wind velocity change. Int. J. Energ. 2007;2(1).
253. Chuong TT. Voltage stability investigation of grid connected wind farm, Proceedings of World Academy of Science Engineering and Technology, Vol. 32, 2008.
254. El-Kashlan SA, Abdel-Rahman M, El-Desouki H, Mansour MM. Voltage Stability of Wind Power Systems Using Bifurcation Analysis. European Power and Energy Systems; 2005.
255. Singh B, Singh SN. Voltage stability assessment of grid-connected offshore wind farms.Wind Energy 2009;12(2):157-169.
256. Richter CW, Sheble GB. A profit-based unit commitment GA for the competitive environment. IEEE Trans. on Power Syst. 2000;15(2):715-721.
257. Tenenbaum B, Lock R, Barker J. Electricity privatization: structural, competitive and regulatory options. Energy Policy 1992;12(12):1134-1160.
258. Rudnick H, Palma R, Fernandez JE. Marginal pricing and supplement cost allocation in transmission open access. IEEE Trans. on Power Syst. 1995;10(2):1125-1142.
259. Zhu JZ. Optimal load shedding using AHP and OKA. Int. J. Power Energ. Syst. 2005;25(1):40-49.
260. Lee TH, Thorne DH, Hill EF. A transportation method for economic dispatching-application and comparison. IEEE Trans. on Power Syst. 1980;99(5):2372-2385.
261. Hobson E, Fletcher DL, Stadlin WO. Network flow linear programming techniques and their application to fuel scheduling and contingency analysis. IEEE Trans. on Power Syst. 1984;103(4): 1684-1691.
262. Zhu JZ, Xu GY. Application of out-of-kilter algorithm to automatic contingency selection and ranking, Proceedings of International Symposium on Eng. Mathematics and Application, ISEMA-88, 1988, pp. 301-305.
263. Ameli MT, Moslehpour S, Rahimikhoshmakani H. The role of effective parameters in automatic load-shedding regarding deficit of active power in a power system. Int. J. Mod. Eng. 2006;7(1).
264. Anderson P, Mirheydar M. A low order system frequency response model. IEEE Trans. Power Syst. 1990;5(3).
265. Chelgardee S, Doozbakhshian M. The designs for under-frequency relays used in load-shedding dispatching department, G 2162, 1990.
266. Shokooh F, Dai JJ, Shokooh S, Tastet J, Castro H, Khandelwal T, Donner G. An Intelligent Load Shedding (ILS) System Application in a Large Industrial Facility. Ind. Appl. Conf. 2005;1:417-425.
267. Saaty TL. The Analytic Hierarchy Process. New York: McGraw Hill, Inc.; 1980.
268. Zhu JZ, Irving MR, Xu GY. Automatic contingency selection and ranking using an analytic hierarchical process. Electr. Mach. Power Syst. 1998;16(4):389-398.
269. Smith DK. Network Optimization Practice. Chichester, UK: Ellis Horwood; 1982.
270. Everett H. Oper. Res. 1963;11:399-417.
271. Momoh JA, Zhu JZ, Dolce JL. Aerospace power system automation-using Everett method, AIP Conference Proceedings-January 22, 1999, Vol. 458, pp. 1653-1658.
272. Faranda R, Pievatolo A, Tironi E. Load shedding: a new proposal. IEEE Trans. on Power Syst. 2007;22(4):2086-2093.
273. Concordia C, Fink LH, Poullikkas G. Load shedding on an isolated system. IEEE Trans. Power Syst. 1995;10(3):1467-1472.
274. Delfino B, Massucco S, Morini A, Scalera P, Silvestro F. Implementation and comparison of different under frequency load- shedding schemes, presented at the IEEE summer meeting 2001, Vancouver, BC, Canada, July 15-19, 2001.
275. Xu D, Girgis AA. Optimal load shedding strategy in power systems with distributed generation, presented at the IEEE Power Engineering Society winter meeting, Columbus, OH, February 2001.
276. Carpaneto E Chicco G. Probability distributions of the aggregated residential loads, presented at the 9th International Conference Probabilistic Methods Applied to Power Systems, Stockholm, Sweden, June 11-15, 2006.
277. Berger JO. Statistical Decision Theory and Bayesian Analysis. 2nd ed. New York: Springer-Verlag; 1985.
278. Taylor CW. Power System Voltage Stability. EPRI Power Engineering Series. New York: McGraw-Hill; 1994.
279. Van Cutsem T, Vournas C. Voltage Stability of Electric Power Systems. Boston, MA: Kluwer; 1998.
280. Taylor CW. Concepts of undervoltage load shedding for voltage stability. IEEE T. Power Deliver. 1992;7(2):480-488.
281. Karlsson DH. System protection schemes in power networks, final report of CIGRE task force 38.02.19.
282. Nikolaidis VC, Vournas CD, Fotopoulos GA, Christoforidis GP, Kalfaoglou E, Koronides A. Automatic load shedding schemes against voltage stability in the Hellenic system, IEEE PES General Meeting, Tampa, FL, June 2007.
283. Otomega B, Cutsem TV. Undervoltage load shedding using distributed controllers. IEEE Trans. on Power Syst. 2007;22(4):1898-1907.
284. Lefebvre D, Moors C, Van Cutsem T. "Design of an undervoltage load shedding scheme for the Hydro-Québec system," IEEE PES General Meeting, Toronto, ON, Canada, July 2003.
285. Arnborg S, Andersson G, Hill DJ, Hiskens IA. On under-voltage load shedding in power systems. Int. J. Electr. Power Energ. Syst. 1997;19:141-149.
286. Parnandi S. Power Market Analysis Tool for Congestion Management, Master Thesis, West Virginia University, 2007.
287. PJM Transmission andVoltage Emergicies Online: http://www.pjm.com/services/training/downloads/ ops101-transemer.pdf
288. NERC Reliability Coordination Transmission Loading Relief, ftp://www.nerc.com/pub/sys/all updl/standards/rs/IRO-006-1.pdf
289. ERCOT Emergency Electric Curtailment Plan, Online: http://nodal.ercot.com/protocols/nprr/040/ keydocs/040NPRR-01 Synchronization of Emergency Electric Curtailment.doc
290. ERCOT Mitigation, Online: http://www.ercot.com/meetings/tac/keydocs/2004/1202/TAC12022004- 19.doc
291. NewYork ISO Emergency Operations, Online: http://www.nyiso.com/public/webdocs/documents/ manuals/operations/em op mnl.pdf
292. NewYork ISO Transmission andDispatchingManual, Online: http://www.nyiso.com/public/webdocs/ documents/manuals/operations/trans disp.pdf
293. Niimura T. Niu Y, Transmission congestion relief by economic load management, IEEE Power Engineering Society summer meeting, Vol. 3, pp. 1645-1649, 2002.
294. Zhu JZ. Optimal reconfiguration of electrical distribution network using the refined genetic algorithm. Electr. Pow. Syst. Res. 2002;62(1):37-42.
295. Wojciechowski JM. An approach formula for counting trees in a graph. IEEE Trans. Circuits Syst. 1985;32(4):382-385.
296. Merlin A, Back H. Search for minimum-loss operating spanning tree configuration in an urban power distribution system, Proc. 5th Power System Computation Conference; Cambridge, 1975 Paper 1.2/6.
297. Castro CH, Bunchand JB, Topka TM. Generalized algorithms for distribution feeder deployment and sectionalizing. IEEE T. Power Ap. Syst. 1980;99(2):549-557.
298. Baran ME, Wu F. Network Reconfiguration in distribution systems for loss reduction and load balancing. IEEE T Power Deliver. 1989;4(2):1401-1407.
299. Castro CH, Franca ALM. Automatic power distribution reconfiguration algorithm including operating constraints. IFAC Symposium on Planning and Operation of Electric Energy Systems; Rio de Janeiro 1985. p. 181-186.
300. Civanlar S et al. Distribution feeder reconfiguration for loss reduction. IEEE T Power Deliver. 1988;13(3):1217-1223.
301. Shirmohammadi D, Hong HW. Reconfiguration of electric distribution networks for resistive line losses reduction. IEEE Trans. PWRD 1989;4(2):1492-1498.
302. Goswami SK. A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE T Power Deliver. 1992;17(3):1484-1491.
303. Nahman J, Strbac G. A New Algorithm for Service Restoration in Large-scale Urban Distribution Systems. Electric Power Systems Research 1994;29:181-192.
304. Glamocanin V. Optimal loss reduction of distribution networks. IEEE Trans. Power Systems 1990;5(3):774-782.
305. Ross DW, Patton J, Cohen AI, Carson M. New methods for evaluating distribution automation and control system benefits. IEEE Trans. PAS 1981;100:2978-2986.
306. Strbac G, Nahman J. Reliability aspects in structuring of large scale urban distribution systems, IEE Conf. on Reliability of Transmission and Distribution Equipment; March 1995. p. 151-156.
307. Liu CC, Lee SJ, Venkata SS. An expert system operational aid for restoration and loss reduction of distribution systems. IEEE Transaction on Power Systems 1988;3(2):619-626.
308. Kendrew TJ,Marks JA. Automated distribution comes of age. IEEE Computer Applications in Power 1989;2(1):7-10.
309. Chiang HD, Jumeau RJ. Optimal network reconfiguration in distribution systems, part 1: a new formulation and a solution methodology. IEEE Trans. Power Delivery 1990;5(4):1902-1909.
310. Ramos ER, Expósito AG, Santos JR, Iborra FL. Path-based distribution networkmodeling: application to reconfiguration for loss reduction. IEEE Trans. Power Systems 2005;20(2):556-564.
311. Nara K, Shiose A, Kitagawa M, Ishihara T. Implementation of genetic algorithm for distribution system loss minimum reconfiguration. IEEE Trans. Power Systems 1992;7(3):1044-1051.
312. Souza BA, Braz HDM, Alves HN. genetic algorithm for optimal feeders configuration. Proceedings of the Brazilian Symposium of Intelligent Automation-SBAI; Bauru, Brazil; 2003.
313. Souza BA, Alves HN, Ferreira HA. Microgenetic algorithms and fuzzy logic applied to the optimal placement of capacitor banks in distribution networks. IEEE Trans. Power Systems 2004;19(2):942-947.
314. Hsiao YT. Multiobjective evolution programming method for feeder reconfiguration. IEEE Trans. Power Systems 2004;19(1):594-599.
315. Zhu JZ, Xiong XF,HwangD, Sadjadpour A.Acomprehensive method for reconfiguration of electrical distribution network, IEEE/PES 2007 General Meeting; Tampa; USA; June 24-28; 2007
316. Zhu JZ. Application of Network Flow Techniques to Power Systems. First ed.WA: Tianya Press, Technology; 2005.
317. Zhu JZ, Chang CS, Xu GY, Xiong XF. Optimal load frequency control using genetic algorithm, Proceedings of 1996 International Conference on Electrical Engineering, ICEE'96; Beijing; China; August 12-15; 1996; p. 1103-1107.
318. Goldberg DE. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addision-Wesley; 1989.
319. Chua LO, Desoer CA, Kuh ES. Linear and Nonlinear Circuits. New York: McGraw-Hill; 1987.
320. Chen JBC, Zhang ZJ. The interactive step trade-off method for multi-objective optimization. IEEE Trans. Syst., Man, Cybern. 1990;SMC-20:688-694.
321. Lin JG. Multiple-objective problems: pareto-optimal solutions by method of proper equality constraints. IEEE Trans. Automat. Contr. 1976;AC-21:641-650.
322. Enacheanu B, Raison B, Caire R, Devaux O, Bienia W, HadjSaid N. Radial network reconfiguration using genetic algorithm based on the matroid theory. IEEE Trans. Power Systems 2007;22.
323. Hsiao YT, Chien CY. Implementation of genetic algorithm for distribution systems loss minimum re-configuration. IEEE Trans. Power Syst. 2000;15(4):1394-1400.
324. Zhu JZ, Chang CS. "Refined genetic algorithm for minimum-loss reconfiguration of electrical distribution network", 1998 Intern. Conf. On EMPD; Singapore; 1998.
325. Kruskal JB Jr. On the shortest spanning subtree of a graph and the traveling salesman problem. Proceedings of the American Mathematical Society 1956;7(1):48-50.
326. Schrijver A. Combinatorial Optimization-Polyhedra and Efficiency. Berlin: Springer-Verlag; 2003. p 651-671.
327. Abido MA. "Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm," 2006 IEEE Congress on Evolutionary Computation, Sheraton Vancouver;Wall Centre Hotel; Vancouver, BC, Canada; July 16-21, 2006
328. Zitzler E, Thiele L. "An evolutionary algorithm for multiobjective optimization: the strength pareto approach," Swiss Federal Institute of Technology, TIK-Report, No. 43, 1998.
329. Morse N. Reducing the size of nondominated set: pruning by clustering. Computers and Operations Research 1980;7(1-2):55-66.
330. Merlin AS. Latest developments and future prospects of power system operation and control. Int. J. of Elec. Power 1994;16(3):137-139.
331. Rau N, Fong CC, Grigg CH, Silverstein B. Living with uncertainty. IEEE Power Eng. Rev. 1994;14(11):24-26.
332. Abdul-Rahman KH, Shahidehpour SM, Deeb NI. Effect of EMF on minimum cost power transmission. IEEE Trans. Power Syst. 1995;10(1):347-353.
333. Ivey M. Accommodating uncertainty in planning and operation. Workshop on Electric Transmission Reliability, Washington, DC September 17, 1999.
334. Leite da Silva AM, Arienti VL, Allan RN. Probabilistic load flow considering dependence between input nodal powers. IEEE Trans. PAS 1984;103(6):1524-1530.
335. El-Hawary ME, Mbamalu GAN. A comparison: probabilistic perturbation and deterministic based optimal power flow solutions. IEEE Trans. Power Syst. 1991;6(3):1099-1105.
336. Sauer PW, Hoveida B. Constrained stochastic power flow analysis. Electr. Pow. Syst. Res. 1982;5:87-95.
337. Karakatsanis TS, Hatziargyriou ND. Probabilistic constrained load flow based on sensitivity analysis. IEEE Trans. Power Syst. 1994;9(4):1853-1860.
338. Abdul-Rahman KH, Shahidehpour SM, Deeb NI. AI approach to optimal VAR control with fuzzy reactive loads. IEEE Trans. Power Syst. 1995;10(1):88-97.
339. Miranda V, Saraiva JT. Fuzzy modeling of power system optimal load flow. IEEE Trans. Power Syst. 1992;7(2):843-849.
340. Wang Z, Alvarado FL. Interval arithmetic in power flow analysis. IEEE Trans. Power Syst. 1992;7(3):1341-1349.
341. NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook.
342. More RE. Interval Analysis. Englewood Gliffs, NJ: Prentice-Hall; 1996.
343. F.N. Ris, Interval analysis and applications to linear algebra, D. Phil, Thesis, Oxford, 1972.
344. Hansen E, Smith R. Interval arithmetic in matrix computations, Part II. SIAM J. Numer. Anal. 1967;4:1-9.
345. Hansen E, Sengupta S. Bounding solutions of systems of equations using interval analysis. BIT 1981;21:203-211.
346. Valdma M,Keel M, Liik O, Tammoja H. Method forminimax optimization of power system operation. Proceedings of IEEE Bologna PowerTech 2003, 23-26 June 2003, Bologna, Italy. Paper 252. p. 1-6.
347. Valdma M, Keel M, Liik O. Optimization of active power generation in electric power system under incomplete information, Proceedings of Tenth Power Systems Computation Conference, 1990, Graz, Austria, p. 1171-1176.
348. Selvi K, Ramaraj N, Umayal SP. Genetic algorithm applications to stochastic thermal power dispatch. IE(I) Journal EL June 2004;85:43-48.
349. Abdul-Rahman KH, Shahidehpour SM. Static security in power system operation with fuzzy real load constraints. IEEE Trans. Power Syst. 1995;10(1):77-87.
350. Kaufmann A, Gupta MM. Fuzzy Mathematical Models in Engineering and Management Science. Amsterdam: North-Holl and Publishing Company; 1988.
351. Dillion TS, Tun T. Integration of the sub-problems involved in the optimal economic operation of hydro-thermal system. Proceedins of IFAC Symposium Control and Management of Integrated Industry. France, September 1977, p. 171-180.
352. Tun T, Dillion TS. Sensitivity analysis of the problem of economic dispatch of hydro-thermal system. Proceedings of IFAC Symposium Auto Control and Protection of Electric Power System:Melbourne; 1977.
353. Ozturk UA, Mazumdar M, Norman BA. A solution to the stochastic unit commitment problem using chance constrained programming. IEEE Trans. Power Syst. 2004;19(3):1589-1598.
354. Qiu J, Shahidehpour SM. A new approach for minimizing power losses and improving voltage profile. IEEE Trans. Power Syst. 1987;2(2):287-295.
355. Dantzig GB, Wolfe P. The decomposition algorithm for linear programs. Econometrica 1961;29(4):767-778.
356. Madrigal M, Ponnambalam K, Quintana VH. Probabilistic optimal power flow. Proceedingsof IEEE Canada Conference on Electrical Computer Engineering, Waterloo, ON, Canada, May 1998, p. 385-388.
357. Verbic G, Cañizares CA. Probabilistic optimal power flow in electricity markets based on a two-point estimate method. IEEE Trans. Power Syst. 2006;21(4):1883-1993.
358. Hong HP. An efficient point estimate method for probabilistic analysis. Reliab. Eng. Syst. Saf. 1998;59:261-267.
359. Rosenblueth E. Point estimation for probability moments. Proc. Nat. Acad. Sci. USA 1975;72(10):3812-3814.
360. Schellenberg A, Rosehart W, Aguado J. Cumulant based probabilistic optimal power flow (P-OPF). IEEE Trans. Power Syst. 2005;20(2):773-781.
361. Kendall MG, Stuart A. The Advanced Thoery of Statistics. 4th ed. New York: Macmillan; 1977.
362. Satty TL. The Analytic Hierarchy Process. New York: McGraw Hill, Inc.; 1980.
363. Zhu JZ, Irving MR, Xu GY. Automatic contingency selection and ranking using an analytic hierarchical process. Electr. Mach. Pow Syst J. 1998;(4).
364. Gharavi H, Ghafurian R. Smart grid: the electric energy system of the future. Proc. of IEEE 2011;99(6):917-921.
365. Fang X, Misra S, Xue GL, Yang DJ. Smart grid-the new and improved power grid: a survey. IEEE Commun. Surv. Tutor. 2012;14(4):944-980.
366. Molderink A, Bakker V, Bosman MGC, Hurink JL, Smit GJM. Management and control of domestic smart grid technology. IEEE Trans. Smart Grid 2010;1(2):109-119.
367. U.S. Department of Energy. Smart Grid/Department of Energy, Retrieved June 18, 2012.
368. Rahman S. Smart Grid From Concept to Reality. IEEE Educational Activities; New Jersey, 2012.
369. Mukhopadhyay S, Soonee SK, Joshi R. Plant operation and control within smart grid concept: Indian approach, 2011 IEEE PES general meeting, San Diego, CA, July 24-29, 2011.
370. CAISO,SMARTGRIDRoadmap andArchitecture, http://www.caiso.com/green/greensmartgrid.html, December 2010.
371. European Smart Grid Technology Platform. Vision and Strategy for Europe's Electricity Networks of the Future. Brussels, Belgium: EU Commission, Directorate-General for Research, Information and Communication Unit; 2006.
372. Low S. Smart Grid Intro Economic Dispatch with Battery, www.lccc.lth.se, March 2010.
373. Zhu JZ, Cheung K, Hwang D, Sadjadpour A. Operation Strategy for improving voltage profile and reducing system loss. IEEE Trans. on Power deliver. 2010;25(1):390-397.
374. Zhu JZ. An optimal approach for smart grid economic dispatch, 2014 IEEE PES general meeting, MD, USA, July 27-31, 2014.
375. Arnold M, Anderson G. Model Predictive Control of Energy Storage including Uncertain Forecasts, 2011 PSCC 2011.
376. Pudjianto D, Ramsay C, Strbac G. Virtual power plant and system integration of distributed energy resources. Renew. Pow. Gen. 2007;1(1):10-16.
377. Lassila J, Haakana J, Tikka V, Partanen J. Methodology to analyze the economic effects of electric cars as energy storages. IEEE Trans. on Smart Grid 2012;3(1):506-516.
378. Sortomme E, El-Sharkawi MA. Optimal scheduling of vehicle-to-grid energy and ancillary services. IEEE Trans. on Smart Grid 2012;3(1):351-359.
379. Sekyung H, Soohee H, Sezaki K. Estimation of achievable power capacity from plug-in electric vehicles for v2g frequency regulation: Case studies for market participation. IEEE Trans. on Smart Grid 2011;2(4):632-641.
380. Tuttle DP, Baldick R. The evolution of plug-in electric vehicle grid interactions. IEEE Trans. on Smart Grid 2012;3(1):500-505.
381. Vasirani M, Kota R, Cavalcante RLG, Ossowski S, Jennings NR. An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles. IEEE Trans. Smart Grid 2013;4(3):1314-1322.
382. Ramchurn SD, Vytelingum P, Rogers A, Jennings NR. Putting the 'smarts' into the smart grid: A grand challenge for artificial intelligence. Commun. ACM 2012;55(4):86-97.
383. Brown RE. Impact of Smart Grid on distribution system design, 2008 IEEE PES General Meeting; Pittsburgh, USA; July 20-24, 2008.
384. Venkata SS. Basics of power delivery systems, NSF/ECEDHA education workshop. Atlanta, GA; July 9, 2011.
385. Venkata SS, Roy S, Pahwa A, Clark GL, Boardman EC. Realizing the "Smart" in Smart Distribution Grid: A Vision and Roadmap, 2011.
386. Zhou NC, Zhu JZ. Voltage assessment in distributed network with photovoltaic plan. ISRN Renewable Energy Journal 2011;1(1).
387. Lin L,Guo W,Wang J, Zhu JZ. Real-time voltage controlmodelwith power and voltage characteristics in the distribution substation. Int. J. Pow. Ener. Syst. 2013;33(1):8-14.
388. Zhu JZ. A rule based comprehensive approach for reconfiguration of electrical distribution network. Electr. Pow. Syst. Res. 2009;78(2):311-315.
389. Xu BY, Li TY, Xue YD. Smart distribution grid and distribution automation. Autom. Electr. Power Syst. 2009;33(17):38-41.
390. Dall'Anese E, Zhu H, Giannakis GB. Distributed optimal power flow for smart microgrids. IEEE Trans. Smart Grid 2013;4(3):1464-1475.
391. Paudyal S, Cañizares CA, Bhattacharya K. Optimal operation of distribution feeders in smart grids. IEEE Trans. Ind. Electronics 2011;58(10):4495-4503.
392. Bae S, Kwasinski A. Dynamic modeling and operation strategy for a microgrid with wind and photovoltaic resources. IEEE Trans. Smart Grid 2013;3(4):1867-1876.
393. Zhou NC, Zhu JZ, Liao Y. A new phase angle measurement algorithm based on virtual αβ stationary coordinate. IEEE Trans. on Power delivery 2012;27(4):2418-2410.