A particle swarm optimization method for power system dynamic security control

IEEE Transactions on Power Systems

Volumn 25, Issue 2, 2010, Pages 1032-1041

  Voumvoulakis, Emmanouil M ^a   Hatziargyriou, Nikos D ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial intelligence; Corrective control; Dynamic security; Load shedding; Particle swarm optimization; Radial basis function neural network

Indexed keywords

ADDED VALUES; AUTOMATIC-LEARNING; CORRECTIVE CONTROL; CORRECTIVE CONTROL ACTIONS; DYNAMIC SECURITY; LOAD-SHEDDING; MACHINE LEARNING METHODS; OBJECTIVE FUNCTIONS; OPTIMAL CONTROLS; PARTICLE SWARM OPTIMIZATION METHOD; POWER SYSTEM DYNAMICS; POWER SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; REALISTIC MODEL; TEST SYSTEMS;

ATTITUDE CONTROL; ELECTRIC POWER SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; OPTICAL COMMUNICATION; RADIAL BASIS FUNCTION NETWORKS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77951667770     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2009.2031224     Document Type: Article

References (33)

1. "Review of on-line dynamic security assessment: Tools and techniques," CIGRE Technical Brochure, SCC4 WG601, Jan. 2007.
2. T. V. Cutsem and C. Vournas, Voltage Stability of Electric Power Systems. Boston, MA: Kluwer, 1998.
3. New Trends and Requirements for Dynamic Security Assessment, 1997, CIGRE T.F. 38.02.13, Tech. Rep.
4. M. El-Sharkawi and D. Niebur, "Artificial neural networks with applications to power systems," in IEEE-PES Special Publication 96TP-112-0, 1996.
5. D. Sobajic and Y. Pao, "Artificial neural-net based dynamic security assessment for electric power systems," IEEE Trans. Power Syst., vol. 4, no. 1, pp. 220-228, Feb. 1989.
6. A. E. Gavoyiannis, D. G. Vogiatzis, and N.D. Hatziargyriou, "Dynamic security classification using support vector machines," presented at the Int. Conf. Intelligent System Application to Power Systems, Budapest, Hungary, Jun. 2001.
7. L. Moulin, A. da Silva, M. El-Sharkawi, and R. Marks, "Neural networks and support vector machines applied to power systems transient stability analysis," Eng. Intell. Syst. J., vol. 9, no. 4, pp. 205-211, 2001.
8. A. E. Gavoyiannis, E. M. Voumvoulakis, and N. D. Hatziargyriou, "Radial basis functions for dynamic security assessment of power systems with increased wind power penetration," presented at the 15th PSCC, Liege, Belgium, Aug. 2005.
9. Z. Feng, V. Ajjarapu, and D. Maratukulam, "A practical minimum load shedding strategy to mitigate voltage collapse," IEEE Trans. Power Syst., vol. 13, no. 4, pp. 1285-1291, Nov. 1998.
10. C. Taylor, "Concepts of under voltage load shedding for voltage stability," IEEE Trans. Power Del., vol. 7, no. 2, pp. 480-487, Apr. 1992.
11. T. Tuan, J. Fandino, N. Hadjsaid, J. Sabonnadiere, and H. Vu, "Emergency load shedding to avoid risk of voltage instability using indicators," IEEE Trans. Power Syst., vol. 19, no. 1, pp. 341-351, Feb. 1994.
12. P. Bijwe, R. Tare, and S. Kelapure, "Anticipatory load shedding scheme for loadability enhancement," Proc. Inst. Elect. Eng., Gen., Transm., Distrib., vol. 146, no. 5, pp. 483-490, Sep. 1999.
13. M. D. E. De Tuglie and M. L. Scala, "A corrective control for angle and voltage stability enhancement on the transient time-scale," IEEE Trans. Power Syst., vol. 15, no. 4, pp. 1345-1353, Nov. 2000.
14. K. Morison, "On-line dynamic security assessment using intelligent systems," presented at the IEEE PES General Meeting, Tampa, FL, Jun. 2006.
15. E. Voumvoulakis, A. Gavoyiannis, and N. Hatziargyriou, "Decision trees for dynamic security assessment and load shedding scheme," presented at the IEEE PES General Meeting, Tampa, FL, Jun. 2006.
16. E. M. Voumvoulakis and N. D. Hatziargyriou, "Decision trees-aided self organized maps for corrective dynamic security," IEEE Trans. Power Syst., vol. 23, no. 2, pp. 622-630, May 2008.
17. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. 1995 IEEE Int. Conf. Neural Networks, vol. 4, pp. 1942-1948.
18. T. Poggio and F. Girosi, "Networks for approximation and learning," Proc. IEEE, vol. 78, no. 9, pp. 1481-1497, Sep. 1990.
19. S. Haykin, Neural Networks: A Comprehensive Foundation. Upper Saddle River, NJ: Prentice-Hall, 1994.
20. J. A. Leonard, M. A. Kramer, and L. H. Unger, "A neural network architecture that predicts its own reliability," Comput. Chem. Eng., vol. 16, pp. 819-835, 1992.
21. A. D. Papalexopoulos, N. E. Hubele, and D. K. Ranaweera, "Application of radial basis function neural network model for short term load forecasting," Proc. Inst. Elect. Eng., Gen., Transm., Distrib., vol. 142, no. 1, pp. 45-49, Jan. 1995.
22. L. Yang, T. Kavli, M. Carlin, S. Clausen, and P. F. M. de Groot, "An evaluation of confidence bound estimation methods for neural networks," in Proc 2000 ESIT, Aachen, Germany, pp. 322-329.
23. E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Statist., vol. 33, pp. 1065-1076, Sep. 1962.
24. K. Niazi, C. Arora, and S. Surana, "Power system security evaluation using ANN: Feature selection using divergence," Elect. Power Syst. Res., vol. 69, pp. 161-167, Feb. 2003.
25. C. Jensen, M. A. El-Sharkawi, and R. J. Marks, "Power system security assessment using neural networks: Feature selection using fisher discrimination," IEEE Trans. Power Syst., vol. 16, no. 4, pp. 757-763, Nov. 2001.
26. P. A. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach. London, U.K.: Prentice-Hall, 1982.
27. IEEE Committee Report, "Transient stability test systems for direct stability methods," IEEE Trans. Power Syst., vol. 7, no. 1, pp. 37-44, Feb. 1992.
28. IEEE Committee Report, "Excitation models for power system stability studies," IEEE Trans. Power App. Syst., vol. PAS-100, no. 2, pp. 494-509, Feb. 1981.
29. M. Kim and S.-K. Joo, "Feature reduction techniques for power system security assessment," Adv. Nat. Comput., vol. 4221, pp. 525-534, 2006.
30. I. T. F. on Excitation Limiters, "Recommended models for overexcitation limiting devices," IEEE Trans. Energy Convers., vol. 10, no. 4, pp. 706-713, Dec. 1995.
31. [Online]. Available: http://www.ee.washington.edu/research/pstca/.
32. D. Gan, R. J. Thomas, and R. D. Zimmerman, "Stability-constrained optimal power flow," IEEE Trans. Power Syst., vol. 15, no. 2, pp. 535-540, May 2000.
33. J. P. Lopes and M. Vasconcelos, "On line dynamic security assessment based on kernel regression trees," in Proc. IEEE PES Winter Meeting, Jan. 2000, vol. 2, pp. 1075-1080.