Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network

doi:10.11930/j.issn.1004-9649.2016.03.076.07

Abstract

Abstract: Self-healing is the most important characteristics of the smart distribution system. Through switch configuration optimization, the distribution network can not only satisfy the requirement of reliability and economy, but also have good self-healing property. In order to reflect the requirement of self-healing, the paper proposes the self-healing evaluation indicators and the blocked algorithm of load self-healing rate for the smart distribution system in terms of self-healing time, customer and load. The outage interruption cost is added to the objective function of the traditional switch configuration optimization, and the minimum healing rate is added to the constraints. An improved binary particle swarm optimization algorithm is proposed through adjustment of the inertia coefficient and learning factors to realize the switch configuration optimization of the distribution network that is adaptable to the self-healing requirement. A case study has proved the model’s rationality and the proposed method’s effectiveness.

Key words: distribution system, self-healing, evaluation indicator, switch configuration optimization, PSO algorithm

CLC Number:

TM642

YUAN Yue, WANG Shouxiang, JIANG Ling, ZHOU Jianhua, SUN Rong. Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network[J]. Electric Power, 2016, 49(3): 76-82.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.03.076.07

https://www.electricpower.com.cn/EN/Y2016/V49/I3/76

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