Power system reliability assessment using intelligent state space pruning techniques: A comparative study

2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

Volumn , Issue , 2010, Pages

  Green II, Robert C ^a   Wang, Lingfeng ^a   Wang, Zhu ^a   Alam, Mansoor ^a   Singhy, Chanan ^b  

^a Toledo   (United States)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

Ant colony optimization; Genetic algorithms; Intelligent search; Monte Carlo simulation; Particle swarm optimization; Power system reliability; State space pruning

Indexed keywords

ANT-COLONY OPTIMIZATION; INTELLIGENT SEARCH; MONTE CARLO SIMULATION; PARTICLE SWARM; POWER SYSTEM RELIABILITY; STATE SPACE;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; COMPUTER SIMULATION; COSMIC RAY DETECTORS; GENETIC ALGORITHMS; INNOVATION; MONTE CARLO METHODS; POWER GENERATION; RELIABILITY ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78751506471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/POWERCON.2010.5666062     Document Type: Conference Paper

References (27)

1. I. C. Report, "IEEE reliability test system," IEEE Transactions on Power Apparatus and Systems, vol. PAS-98, no. 6, pp. 2047-2054, 1979.
2. C. Grigg, P. Wong, P. Albrecht, and et al., "The IEEE reliability test system-1996," IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 1010-1020, 1999.
3. R. Billinton and W. Li, Reliability Assessment of Electric Power Systems using Monte Carlo Methods. New York; London: Plenum, 1994.
4. L. Wang and C. Singh, "Population-based intelligent search in reliability evaluation of generation systems with wind power penetration," IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 1336-1345, May 2008.
5. C. Singh and L. Wang, "Role of artificial intelligence in the reliability evaluation of electric power systems," Turkish Journal of Electrical Engineering & Computer Science, vol. 16, no. 3, pp. 189-200, 2008.
6. R. Green, L. Wang, and C. Singh, "State space pruning for power system reliability evaluation using genetic algorithms," in Proceedings of the IEEE PES General Meeting, Minneapolis, MN, July 2010.
7. R. Green, Z. Wang, L.Wang, M. Alam, and C. Singh, "Evaluation of loss of load probability for power systems using intelligent search based state space pruning," in Proceedings of the 11th International Conference on Probabilistic Methods Applied to Power Systems, Singapore, June 2010.
8. R. Green, L. Wang, M. Alam, and C. Singh, "State space pruning for reliability evaluation using binary particle swarm optimization," Jan 2011.
9. J. Mitra and C. Singh, "Incorporating the dc load flow model in the decomposition-simulation method of multi-area reliability evaluation," IEEE Transactions on Power Systems, vol. 11, no. 3, pp. 1245-1254, Aug 1996.
10. C. Singh and J. Mitra, "Composite system reliability evaluation using state space pruning," IEEE Transactions on Power Systems, vol. 12, no. 1, pp. 471-479, 1997.
11. J. Mitra and C. Singh, "Pruning and simluation for determination of frequency duration indices of composite power systems," IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 899-905, 1999.
12. Del, G. K. Venayagamoorthy, S. Mohagheghi, J. C. Hernandez, and R. G. Harley, "Particle swarm optimization: Basic concepts, variants and applications in power systems," Evolutionary Computation, IEEE Transactions on, vol. 12, no. 2, pp. 171-195, 2008.
13. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Neural Networks, 1995. Proceedings., IEEE International Conference on, vol. 4, August 2002.
14. -, "A discrete binary version of the particle swarm algorithm," in IEEE International Conference on Systems, Man, and Cybernetics, vol. 5, 1997, pp. 4104-4108.
15. M. Dorigo, "Optimization, learning and natural algorithms," Ph.D. dissertation, Politecnico di Milano, Italy, 1992.
16. M. Kong and P. Tian, "A binary ant colony optimization for the unconstrained function optimization problem," in CIS (1), 2005, pp. 682-687.
17. R. D. Zimmerman, E. M.-S. Carlos, and D. Gan, "MATPOWER: A MATLAB Power System Simulation Package, Version 3.1b2, User's Manual," Power Systems Engineering Research Center, Tech. Rep., 2006. [Online]. Available: http://www.pserc.cornell.edu/matpower/
18. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, 1st ed. Addison-Wesley Professional, Jan 1989.
19. R. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory," in Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, pp. 39-43.
20. R. Poli, J. Kennedy, and T. Blackwell, "Particle swarm optimization," Swarm Intelligence, vol. 1, no. 1, pp. 33-57, June 2007.
21. D. K. Agrafiotis and W. Cedeo, "Feature selection for structure-activity correlation using binary particle swarms," Journal of Medicinal Chemistry, vol. 45, pp. 1098-1107, 2002.
22. C. K. Mohan and B. Al-Kazemi, "Discrete particle swarm optimization." Indianapolis, IN: Purdue School of Engineering and Technology, 2001.
23. A. Moraglio, C. Di Chio, and R. Poli, "Geometric particle swarm optimization," in Proceedings of the European conference on genetic programming (EuroGP), vol. 4445, 2007, pp. 125-136.
24. O. Urfalioglu, "Robust estimation of camera rotation, translation and focal length at high outlier rates," Computer and Robot Vision, Canadian Conference, vol. 0, pp. 464-471, 2004.
25. T. Krink, J. S. Vesterstrom, and J. Riget, "Particle swarm optimisation with spatial particle extension," in CEC '02: Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress. Washington, DC, USA: IEEE Computer Society, 2002, pp. 1474-1479.
26. J. Riget and J. Vesterstrm, "A diversity-guided particle swarm optimizer - the arpso," Tech. Rep., 2002.
27. M. Berkelaar, K. Eikland, and P. Notebaert, "lp solve : Open source (mixed-integer) linear programming system," 2004.