Optimal static state estimation using improved particle swarm optimization and gravitational search algorithm

International Journal of Electrical Power and Energy Systems

Volumn 52, Issue 1, 2013, Pages 254-265

  Mallick, Sourav ^a   Ghoshal, S P ^a   Acharjee, P ^a   Thakur, S S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Gravitational search algorithm; Ill conditioned system; Improved particle swarm optimization; Static state estimation

Indexed keywords

GRAVITATIONAL SEARCH ALGORITHM (GSA); GRAVITATIONAL SEARCH ALGORITHMS; HYBRID PARTICLE SWARM OPTIMIZATION; ILL-CONDITIONED SYSTEMS; IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; STATISTICAL ERROR ANALYSIS; WEIGHTED LEAST SQUARE STATE ESTIMATION;

ERROR ANALYSIS; LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); REACTIVE POWER;

STATE ESTIMATION;

EID: 84877783084     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.03.035     Document Type: Article

References (48)

1. G. Durgaprasad, and S.S. Thakur Robust dynamic state estimation of power systems based on M-estimation and realistic modeling of system dynamics IEEE Trans Power Syst 13 1998 1331 1336
2. F.C. Schweppe, and J. Wildes Power system static state estimation, part I: Exact model IEEE Trans Power App Syst PAS-89 1970 120 125
3. F.C. Schweppe, and D. Rom Power system static state estimation, part II: Approximate Model IEEE Trans Power App Syst PAS-89 1970 125 130
4. F.C. Schweppe Power system static state estimation, part III: Implementation IEEE Trans Power App Syst PAS-89 1970 130 135
5. Schweppe FC, Handschin EJ. Static state estimation in power system. In: Proceedings of IEEE; 1974. p. 972-82.
6. Alsac, N. Vempati, B. Stott, and A. Monticelli Generalized state estimation IEEE Trans Power Syst 13 1998 1069 1075
7. Monticelli A. Electric power system state estimation In: Proceedings of the IEEE; 2000. p. 1069-75.
8. Z. Liang, and A. Abur Multi-area state estimation using synchronized phasor measurements IEEE Trans Power Syst 20 2005 611 617
9. W. Jiang, V. Vittal, and G. Heydt A distributed state estimator utilizing synchronized phasor measurements IEEE Trans Power Syst 22 2007 563 571
10. Castro Vide PS, Barbosa FPM, Ferreira IM, Beleza Carvalho J. Effect on convergence patterns by the use of line current measurements on power system state estimation. In: Electrotechnical conference, 2006. MELECON 2006. IEEE Mediterranean; 2006. p. 960-3.
11. W. Jiang, V. Vittal, and G. Heydt Diakoptic state estimation using phasor measurement units IEEE Trans Power Syst 23 2008 1580 1589
12. G.N. Korres, and N.M. Manousakis A state estimator including conventional and synchronized phasor measurements Comput Electr Eng 38 2012 294 305
13. G.N. Korres A robust algorithm for power system state estimation with equality constraints IEEE Trans Power Syst 25 2010 1531 1541
14. T. Yang, H. Sun, and A. Bose Transition to a two-level linear state estimator part I: architecture IEEE Trans Power Syst 26 2011 46 53
15. T. Yang, H. Sun, and A. Bose Transition to a two-level linear state estimator part II: algorithm IEEE Trans Power Syst 26 2011 54 62
16. G.N. Korres A distributed multiarea state estimation IEEE Trans Power Syst 26 2011 73 84
17. A. Monticelli, and A. Garcia Reliable bad data processing for real-time state estimation IEEE Trans Power Syst PAS-102 1983 1126 1139
18. Bretas AS, London JBA Jr., Alberto AFC, Benedito RAS. Geometrical approaches on masked gross errors for power systems state estimation. In: Proceedings of IEEE power and energy society general meeting, Calgary; 2009. p. 1-7.
19. Bretas NG, Bretas AS. Bad data analysis using the composed measurements errors for power system state estimation. In: IREP symposium - bulk power system dynamics and control - VIII (IREP), Buzios, RJ, Brazil; 2010. p. 1-7.
20. N.G. Bretas, A.S. Bretas, and S.A. Piereti Innovation concept for measurement gross error detection and identification in power system state estimation IET Gener Transm Distrib 5 2011 603 608
21. K.A. Clements, and P.W. Davis Multiple bad data detectability and identifiability: a geometric approach IEEE Trans Power Deliv 1 1986 355 360
22. E.M. Lourenco, A.S. Costa, and K.A. Clements Bayesian-based hypothesis testing for topology error identification in generalized state estimation IEEE Trans Power Syst 19 2004 1206 1215
23. J. Chen, and A. Abur Enhanced topology error processing via optimal measurement design IEEE Trans Power Syst 23 2008 845 852
24. J. Zhu, and A. Abur Improvements in network parameter error identification via synchronized phasors IEEE Trans Power Syst 25 2010 44 50
25. A. Monticelli, and F.F. Wu Observability analysis for orthogonal transformation based state estimation IEEE Trans Power Syst PWRS-1 1986 201 206
26. Castillo MRM, Bretas MRM, London JBA. Parameter errors and gross errors detection, identification and correction. In: IEEE power and energy society general meeting, 2012. IEEE, San Diego, California, USA; 2012. p. 1-12.
27. A. Monticelli, and F.F. Wu Analytical tools for power system restoration-conceptual design IEEE Trans Power Syst 3 1988 201 206
28. J.B.A. London, A.F.C. Alberto, and A.S. Bretas Analysis of measurement-set qualitative characteristics for state-estimation purposes IET Gener Transm Distrib 1 2007 39 45
29. Eberhart RC, Kennedy J. A new optimizer using particle swarm theory. In: Symposium on micro machine and human science. Japan: Nagoya, IEEE Service Centre, Piscataway, NJ; 1995. p. 39-43.
30. Eberhart RC, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. In: Congress on evolutionary computation, IEEE, La Jolla, CA, USA; 2000. p. 84-8.
31. Fukuyama Y, Yoshida H. A particle swarm optimization for reactive power and voltage control in electrical power systems. In: Proc of 2001 congress on evolutionary computation; 2001. p. 87-93.
32. S.H. Nabavi-Kerizi, M. Abadi, and E. Kabir A PSO-based weighting method for linear combination of neural networks Comput Electr Eng 36 2010 886 894
33. M.A. Abido Optimal design of power-system stabilizers using particle swarm optimization IEEE Trans Energy Convers 17 2002 406 413
34. P. Acharjee, and S.K. Goswami Algorithm based on adaptive particle swarm optimization for power flow analysis Experts Syst Appl 36 2009 5151 5156
35. H. Sasaki, K. Aoki, and R. Yokoyama A parallel computation algorithm for static state estimation by means of matrix inversion lemma IEEE Trans Power Syst PWRS-2 1987 624 631
36. A.S. Debs, and R.E. Larson A dynamic estimator for tracking the state of a power system IEEE Trans Power App Syst PAS-89 1970 1670 1678
37. K.I. Geisler Ampere magnitude line measurements for power systems state estimation IEEE Trans Power App Syst PAS-103 1984 1962 1969
38. L.D. Arya, L.S. Titare, and D.P. Kothari Improved particle swarm optimization applied to reactive power reserve maximization Int J Elect Power Energy Syst 32 2010 368 374
39. E. Mahdiyeh, S. Hussain, M. Azah, and K. Mohammad An efficient particle swarm optimization technique with chaotic sequence for optimal tuning and placement of PSS in power systems Int J Elect Power Energy Syst 43 2012 1467 1478
40. J.M.R. Munoz, and A.G. Exposito A line-current measurement based state estimator IEEE Trans Power Syst 7 1992 513 519
41. E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi GSA: A gravitational search algorithm Inform. Syst. 179 2009 2232 2248
42. S. Mondal, A. Bhattacharya, and S.H.N. Dey Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration Int J Elect Power Energy Syst 44 2013 282 292
43. A. Abur, and A.G. Exposito State estimation using ampere measurements, in: power system state estimation: theory and implementation 2004 Mercel Dekkar New York
44. M. Gauci, T. Dodd, and R. GroÃÅ̧ Why 'GSA: a gravitational search algorithm' is not genuinely based on the law of gravity Nat Comput 11 2012 719 720
45. B. Shaw, V. Mukherjee, and S.P. Ghoshal A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems Int J Elect Power Energy Syst 35 2012 21 33
46. H. Chen, S. Li, and Z. Tang Hybrid gravitational search algorithm with random-key encoding scheme combined with simulated annneaking Int J Comput Sci Netw Security 11 2011 208 217
47. Mirjalili S, Hashim SZM. A new hybrid PSOGSA algorithm for function optimization. In: 2010 International conference on computer and information application (ICCIA); 2010. p. 374-7.
48. S. Mallick, D.V. Rajan, S.S. Thakur, P. Acharjee, and S.P. Ghoshal Development of a new algorithm for power flow analysis Int J Elect Power Energy Syst 33 2011 1479 1488