State space pruning for power system reliability evaluation using genetic algorithms
作者： Robert C Green , Lingfeng Wang , Chanan Singh
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摘要: Methods have previously been developed that improve the computational efficiency and convergence of Monte Carlo simulation (MCS) when computing reliability indices power systems. One these techniques works by pruning state space in such a manner MCS samples has higher density failure states than original space. This paper presents new approach to limiting sampled calculating through use genetic algorithm. concludes this technique is promising loss load probability (LOLP). tested using two systems: IEEE Reliability Test System (RTS79) Modified (MRTS).
sci-hub.se 参考文章(9)
Roy Billinton, Wenyuan Li, Reliability Assessment of Electric Power Systems Using Monte Carlo Methods ,(1994)
J. Mitra, 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, pp. 1245- 1254 ,(1996) , 10.1109/59.535596
Probability Subcommittee, IEEE Reliability Test System IEEE Transactions on Power Apparatus and Systems. ,vol. 6, pp. 2047- 2054 ,(1979) , 10.1109/TPAS.1979.319398
J. Mitra, C. Singh, Pruning and simulation for determination of frequency and duration indices of composite power systems IEEE Transactions on Power Systems. ,vol. 14, pp. 899- 905 ,(1999) , 10.1109/59.780901
Lingfeng Wang, C. Singh, Population-Based Intelligent Search in Reliability Evaluation of Generation Systems With Wind Power Penetration IEEE Transactions on Power Systems. ,vol. 23, pp. 1336- 1345 ,(2008) , 10.1109/TPWRS.2008.922642
M.V.F. Pereira, N.J. Balu, Composite generation/transmission reliability evaluation Proceedings of the IEEE. ,vol. 80, pp. 470- 491 ,(1992) , 10.1109/5.135372
C. Singh, J. Mitra, Composite system reliability evaluation using state space pruning IEEE Transactions on Power Systems. ,vol. 12, pp. 471- 479 ,(1997) , 10.1109/59.575787
Chanan Singh, Lingfeng Wang, Role of Artificial Intelligence in the Reliability Evaluation of Electric Power Systems Turkish Journal of Electrical Engineering and Computer Sciences. ,vol. 16, pp. 189- 200 ,(2008)
David E. Goldberg, Genetic algorithms in search, optimization and machine learning Reading: Addison-Wesley. ,(1989)