计及监测可信度的扰动源定位粒子群算法

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Abstract Disturbance direction misjudgments happen due to the network structure, the Gauss noise and monitoring errors. However, the existing power quality disturbance source locating methods have low positioning accuracy. A power quality disturbance location algorithm of particle swarm optimization with monitoring reliability is presented. A new method of monitoring reliability function is also presented, to characterize the accuracy of disturbance direction judgment. Then the particle swarm optimization model is established, as well as the evaluation function is proposed, where the particle swarm iteration is used to search the global optimal solution. The simulations in Matlab show that, the new algorithm can locate the disturbance with parts of disturbance direction misjudgments, and has the advantages of accurate positioning, good convergence and good fault tolerance.

Key words： Disturbance source location particle swarm optimization monitoring reliability power quality smart distribution network

Received: 03 July 2014 Published: 01 September 2016

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TN711

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	Articles by authors
	Huang Feiteng
	Nan Yurong
	Weng Guoqing
	Zhang Youbing
	Wang Qiang

Cite this article:

Huang Feiteng,Nan Yurong,Weng Guoqing等. Particle Swarm Optimization of Disturbance Source Location with Monitoring Reliability[J]. Transactions of China Electrotechnical Society, 2016, 31(16): 215-222.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I16/215

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