基于等级偏好优序法和切负荷的配电网故障恢复

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Abstract Evaluation method is essential for the swarm intelligence algorithm and determines the global optimal solution. In this paper, rank preference optimal was introduced to evaluate the individual of the population, which can get the obvious differences among alternatives by improving in attribute ordinal number. Regarding the traditional swarm intelligence algorithm is difficult to deal with the problem that the load cannot be recovered completely, this paper proposed a load shedding strategy to ensure each individual of the group is feasible in the point of electricity. In order to reduce the effect of load shedding on algorithm efficiency, repetitive power flow was introduced to calculate the power supply capability before executing the algorithm. Finally the analysis results show that the proposed method can effectively solve the problem of distribution network service restoration and has practical value.

Key words： Service restoration binary particle swarm optimization distribution network rank preference optimal load shedding strategy

Received: 29 October 2013 Published: 30 October 2015

PACS:

TM73

	Service

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	Articles by authors
	Wang Zengping
	Yao Yuhai
	Guo Kunya
	Qi Zheng

Cite this article:

Wang Zengping,Yao Yuhai,Guo Kunya等. Distribution Network Service Restoration Based on Rank Preference Optimal and Load Shedding[J]. Transactions of China Electrotechnical Society, 2015, 30(20): 185-192.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I20/185

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