Improvement and Application of Genetic Algorithms in Reactive Power Optimization of Power Network

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Abstract:

Reactive power optimization that is optimized by Simple Genetic Algorithms has many limitations. According to the problem of reactive power optimization of high voltage system, the Simple Genetic Algorithms is improved. The improved algorithm is applied in reactive power optimization of IEEE-6 bus system, the results indicate that the improvement is effective and it can accelerate the convergence speed and enhance the ability of optimization.

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Periodical:

Advanced Materials Research (Volumes 354-355)

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1058-1063

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Online since:

October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Wujun, Ye Jianfeng.: Multiple-objective Reactive Power Optimization based on Improved Genetic Algorithm[J]. Power System Technology. Vol.28 No.11 (2004) 67-71.

Google Scholar

[2] Mingqiang, Kou Jishong.: Basal Theory and Application of Genetic Algorithm [M]. Beijing: science press (2002).

Google Scholar

[3] Sushil J.Louis, John McDonnell.: Learning with Case-injected Genetic Algorithms [J]. IEEE transactions on evolutionary computation Vol.8 No.4 (2004) 316-329.

DOI: 10.1109/tevc.2004.823466

Google Scholar

[4] Xiong Xinyin, Wu Yaowu.: Genetic Algorithm and Its Application in Power Systems [M]. Huazhong University of Science and Technology press (2002) 138-196 .

Google Scholar

[5] Z.H. Wang, X.G. Yin, Z.Zhang, J.C. Yang.: Pseudo-Parallel Genetic Algorithm for Reactive Power Optimization[J]. IEEE trans. (2003) 903-908.

Google Scholar

[6] Haibo Zhang, Lizi Zhang, Fanling Meng.: Reactive Power Optimization Based on Genetic Algorithm[J]. IEEE trans.(1998) 1448-1454.

DOI: 10.1109/icpst.1998.729327

Google Scholar

[7] Q H Wu, Y J Cao and J Y Wen.: Optimal reactive power dispatch using an adaptive genetic agrithm[J]. Electrical Power and Energy Systems, Vol 20,No 8 (1998) 563-569.

DOI: 10.1016/s0142-0615(98)00016-7

Google Scholar

[8] Gallardo, A.; Lowther, D.A.: Some aspects of niching genetic algorithms applied to electromagnetic device optimization[J]. IEEE transaction on magnetics. Vol. 36. (2000) 1076-1079.

DOI: 10.1109/20.877627

Google Scholar