Study on distribution network expansion planning improved algorithm based on QPSO for contain distributed power

Mingguang Zhang, Shi-Liang Wang
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引用次数: 4

Abstract

When distributed power is connected to distribution network, it will produce all kinds of influence on distribution network. So we need to optimize all kinds of distributed power that access the distribution network. Mathematical model which contains the distributed power distribution network expansion planning is presented in this paper, takeing construction and maintenance cost minimum as objective function and applying binary coding quantum particle swarm algorithm to optimize type, location and capacity of distributed power and new or upgraded lines. To solve a large number of infeasible solutions of which is caused by distribution network planning, the related literatures are referred to repair infeasible solution, isolated chain and ring, converts the non-radial network to radial network. The example analysis shows that the planning schemes of power distribution network planning are more diversity and robustness.
基于QPSO的含分布式电网扩容规划改进算法研究
分布式电源接入配电网后,会对配电网产生各种影响。因此,我们需要对接入配电网的各种分布式电源进行优化。本文以建设维护成本最小为目标函数,应用二进制编码量子粒子群算法对分布式电源和新建或升级线路的类型、位置和容量进行优化,建立了包含分布式配电网扩容规划的数学模型。为解决配电网规划造成的大量不可行解,参考相关文献,采用修复不可行解、隔离链和环的方法,将非放射状网络转化为放射状网络。实例分析表明,配电网规划方案具有较强的多样性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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