基于改进萤火虫算法的含DG配电网重构方法

许; 潘金生; 樊淑娴; 宋筱爽; 翟爽; 公茂法

引用本文:	许,潘金生,樊淑娴,等.基于改进萤火虫算法的含DG配电网重构方法[J].电力系统保护与控制,2018,46(14):26-32.
	XU Zhe,PAN Jinsheng,FAN Shuxian,et al.A distribution network reconfiguration method with distributed generation based on improved firefly algorithm[J].Power System Protection and Control,2018,46(14):26-32

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基于改进萤火虫算法的含DG配电网重构方法
许 ^喆1,潘金生²,樊淑娴¹,宋筱爽³,翟爽⁴,公茂法¹
(1.山东科技大学电气与自动化工程学院，山东青岛 266590;2.东营方大电力设计规划有限公司，山东东营 257091; 3.国网山东省电力公司即墨供电公司，山东即墨 266200;4.国网山东省电力公司东营供电公司，山东东营 257091)

摘要:

为了更好地解决含DG的配电网重构问题，建立了以系统损耗、负荷均衡、电压偏差为目标的重构模型，并利用改进萤火虫算法进行寻优计算。针对传统萤火虫算法中存在的早熟收敛、过度依赖控制参数等缺陷，引入了惯性权重，利用混沌理论对算法参数进行调整，使算法兼顾全局搜索与局部搜索能力的均衡。同时将精英保留策略融入到萤火虫算法当中，加快了算法收敛的速度。为了减少网络重构中出现的大量不可行解，对网络拓扑进行了简化操作，缩短了编码维数，提高了寻优效率。最后通过算例分析，验证了该算法的有效性与实用性。

关键词: 配电网重构 DG 改进萤火虫算法混沌优化搜索拓扑优化

DOI：10.7667/PSPC171701

分类号:

基金项目:国家自然科学基金项目资助(61703242)

A distribution network reconfiguration method with distributed generation based on improved firefly algorithm

XU Zhe¹,PAN Jinsheng²,FAN Shuxian¹,SONG Xiaoshuang³,ZHAI Shuang⁴,GONG Maofa¹

(1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;2. The Limited Company of Dongying Fangda about Electric Power Design and Planning, Dongying 257091, China;3. State Grid Shandong Jimo Electric Power Company, Jimo 266200, China;4. State Grid Shandong Dongying Electric Power Company, Dongying 257091, China)

Abstract:

In order to solve the problem of distribution network reconfiguration with Distributed Generation (DG), a reconfiguration model aiming at system loss, load balancing and voltage deviation is established, and the improved firefly algorithm is used to optimize the calculation. In view of the defects of traditional firefly algorithm, such as premature convergence and over-reliance on control parameters, the inertia weight is introduced and chaotic theory is adopted to adjust the parameters of the algorithm so that the algorithm balances the global search and local search capabilities. At the same time, the elitist strategy is introduced into firefly algorithm which speeds up the algorithm convergence. In order to reduce a large number of non-feasible solutions in network reconfiguration, by simplifying the network topology, the coding dimension is shortened and the efficiency of optimization is improved. Finally, some examples are given to verify the effectiveness and practicability of the proposed algorithm. This work is supported by National Natural Science Foundation of China (No. 61703242).

Key words: reconfiguration of distribution network DG improved firefly algorithm chaotic optimization search topological simplification

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