基于松弛域模型的电容器无功补偿优化配置

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Abstract Optimal capacitor capacity and location is an combinatorial optimization problem.This paper proposes the slack region model and combines it with the particle swarm optimization to realize the slack region particle swarm optimization (SRPSO) algorithm.This new algorithm utilizes the slack region model to adjust the search velocity and search range in order to update particles’ positions within the slack region so that the particle swarm can move toward the optimal position.The proposed method has been applied to IEEE14 and IEEE30 bus test system.Comparing to the results gained by the binary particle swarm optimization (BPSO) algorithm,the suggested one shows faster convergence rate and better results.The simulation results show the feasibility and effectiveness of the SRPSO for the capacitor capacity and location problem.

Key words： Slack region model optimal capacitor size and placement particle swarm optimization binary particle swarm optimization

Received: 28 December 2014 Published: 07 December 2015

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TM532.3

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	Luo Qingyue
	Liu Baiyang
	Sun Liuqing
	Xiao Xiangchun
	Luo Ting

Cite this article:

Luo Qingyue,Liu Baiyang,Sun Liuqing等. Optimal Capacitor Reactive Power Compensation Method Based on Slack Region Model[J]. Transactions of China Electrotechnical Society, 2015, 30(17): 79-84.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I17/79

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