基于改进群搜索算法的含光伏发电的配电网优化重构研究

李聪, 秦立军, 段惠

太阳能学报 ›› 2022, Vol. 43 ›› Issue (4) : 213-218.

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (4) : 213-218. DOI: 10.19912/j.0254-0096.tynxb.2020-0834
电化学储能安全性与退役动力电池梯次利用关键技术专题

基于改进群搜索算法的含光伏发电的配电网优化重构研究

  • 李聪1, 秦立军1, 段惠2
作者信息 +

RESEARCH ON RECONFIGURATION OF DISTRIBUTION NETWORK WITH PHOTOVOLTAIC GENERATION BASED ON IMPROVED GROUP SEARCH OPTIMIZER

  • Li Cong1, Qin Lijun1, Duan Hui2
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文章历史 +

摘要

配电网中光伏发电装机容量迅速上涨,针对其所带来的波动性和间歇性对配电网重构后的可靠性和经济性产生的影响,提出一种含光伏发电的配电网优化重构策略。首先。以网损最小化为目标函数,建立含光伏发电的配电网数学模型;其次,运用模糊理论对群搜索算法进行改进,并将改进群搜索算法应用到配电网重构路径的优化中;最后,通过算例对含光伏发电的配电网进行分析。结果表明,该方法收敛速度快、寻优时间短且动作次数少,有效提高了配电网的运行经济性。

Abstract

With the increasing penetration of the photovoltaic (PV) power generation in the distribution network, the fluctuation and intermittence characteristic of PV has imposed an enormous effect on the reliability and economy of distribution network reconfiguration. To tackle this problem, an optimal reconfiguration strategy of distribution networks with photovoltaic generation is proposed. Firstly, the minimization of network loss is considered as the objective function to model the distribution network with photovoltaic generation mathematically. Secondly, the fuzzy theory is introduced to improve the group search optimizer. Then, the improved group search optimizer is applied to the optimization of the distribution network reconstruction path. Finally, a case study is carried out to verify the effectiveness of the proposed method. Results show that the method has the advantages of fast convergence speed, short optimization time, and fewer action times, which effectively improves the operation economy of the distribution network.

关键词

光伏发电 / 群搜索优化 / 配电网重构 / 模糊理论

Key words

photovoltaic generation / group search optimizer(GSO) / distribution network reconfiguration / fuzzy theory

引用本文

导出引用
李聪, 秦立军, 段惠. 基于改进群搜索算法的含光伏发电的配电网优化重构研究[J]. 太阳能学报. 2022, 43(4): 213-218 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0834
Li Cong, Qin Lijun, Duan Hui. RESEARCH ON RECONFIGURATION OF DISTRIBUTION NETWORK WITH PHOTOVOLTAIC GENERATION BASED ON IMPROVED GROUP SEARCH OPTIMIZER[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 213-218 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0834
中图分类号: TM711   

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基金

国网辽宁省电力公司创新科技项目(SGTYHT/17-JS-199)

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