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文章摘要
基于改进和声搜索算法的含分布式电源的配电网重构
Distribution network reconfiguration with distributed generation based on improved harmony search algorithm
Received:July 29, 2014  Revised:July 29, 2014
DOI:
中文关键词: 和声搜索算法  分布式电源  配电网重构  反向学习技术  小概率变异
英文关键词: improved harmony search algorithm  distributed generation  distribution network reconfiguration  Reverse learning technology  Small probability of mutation
基金项目:
Author NameAffiliationE-mail
CHEN Meng* School of Electrical Engineering and Information,Sichuan University 1343265450@qq.com 
lvlin School of Electrical Engineering and Information,Sichuan University  
HU Qi Jiangxi Electrical Power Corporation  
WANG Wei-jia China NEW Era intemational Engineering Corporation  
guxin School of Electrical Engineering and Information,Sichuan University  
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中文摘要:
      采用改进和声搜索算法(Improved Harmony Search Algorithm,IHSA)求解含分布式电源的配电网重构问题。该算法在基本和声搜索算法中引入随机位置更新操作、反向学习技术、小概率变异机制、修正音调微调概率等策略,增强了算法的开采与勘探能力,提高了全局寻优能力,避免了算法过早收敛的问题。把分布式电源当做PQ节点处理,利用前推回代法计算网络潮流。对IEEE33节点系统进行网络重构,并与基本和声搜索算法进行对比,仿真结果证明了本文所提IHS算法具有更佳的性能,能够有效的解决含分布式电源的配电网重构问题。
英文摘要:
      Improved improved harmony search algorithm (IBEGA) is used to solve distribution network reconfiguration with distributed generation problem. The algorithm introduces the basic harmony search algorithm in a random location update operation, reverse learning technology, small probability of mutation mechanism to fine-tune pitch correction probability strategies to enhance the algorithm"s mining and exploration capacity and improve the ability of global optimization, avoiding algorithm premature convergence problem. The distributed power as a PQ node processing, computing network trends before use backward substitution method. using IHS algorithm IEEE33 node system for network reconfiguration, and comparing with harmony search algorithms,the results show that the proposed IHS algorithm has better performance, can effectively solve distribution network reconfiguration with distributed generation problem.
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