基于粒子群优化算法的电压暂降监测点优化配置

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Abstract In order to capture all the fault positions of voltage sag in the whole system,this paper presents an approach based on particle swarm optimization(PSO) algorithm for optimal allocation of voltage sag monitoring nodes. Firstly,using the solution of analytical expressions,the monitor reach area(MRA) is defined by setting up the critical fault locations. Then the monitored reach matrix is built,which are valid for any location of faults in the power system. A 0-1 linear programming model is proposed to solve the problem of optimum allocation. The object function of the optimum problem is to minimize the number of the monitoring buses. And the key constraint is to guarantee the observability of the whole system considering any balanced or unbalanced faults. Utilizing the idea of penalty function,the PSO algorithm is applied to solve the optimum problem. The best optimal location of monitoring nodes are finally obtained by comparing the sensitive of buses. The effectiveness of proposed algorithm is verified by the case study based on IEEE-39 standard test system.

Key words： Voltage sag monitoring node method of analytical expressions monitored reach matrix optimum allocation particle swarm optimization(PSO) penalty function

Received: 22 September 2011 Published: 27 June 2014

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TM712

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	Zhou Chao
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Zhou Chao,Tian Lijun. An Optimum Allocation Method of Voltage Sag Monitoring Nodes Based on Particle Swarm Optimization Algorithm[J]. Transactions of China Electrotechnical Society, 2014, 29(4): 181-187.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I4/181

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