基于改进和声搜索算法的含分布式电源的配电网重构
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。把分布式电源以PQ和PV两种方式进行处理,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,仿真结果证明了文中所提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。...
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| Published in | 电测与仪表 Vol. 52; no. 9; pp. 61 - 65 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
四川大学电气信息学院,成都,610065%国网江西省瑞昌市供电责任有限公司,江西瑞昌,332200%中国新时代国际工程公司,西安,710000
2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1390 |
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| Abstract | 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。把分布式电源以PQ和PV两种方式进行处理,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,仿真结果证明了文中所提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。 |
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| AbstractList | 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。把分布式电源以PQ和PV两种方式进行处理,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,仿真结果证明了文中所提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。 TM711; 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。把分布式电源以PQ和PV两种方式进行处理，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，仿真结果证明了文中所提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。 |
| Abstract_FL | The improved harmony search algorithm (IBEGA) is used to solve the problem of the distribution network reconfiguration with distributed generation .The algorithm introduces the random location update operation , reverse learning technology , small probability of mutation mechanism and fine-tune pitch correction probability strategies to the basic harmony search algorithm to enhance the algorithm ’ s mining and exploration capacity and improve the ability of global optimization , avoiding the premature convergence of the algorithm .The PQ and PV distributed power are processing in two ways , and the network of IEEE33 node system is reconstructed .Comparing with harmony search al-gorithms , the results show that the proposed IHS algorithm has better performance , can effectively solve the problem of distribution network reconfiguration with distributed generation . |
| Author | 陈梦 吕林 胡琪 王维佳 古昕 |
| AuthorAffiliation | 四川大学电气信息学院,成都610065 国网江西省瑞昌市供电责任有限公司,江西瑞昌332200 中国新时代国际工程公司,西安710000 |
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| Author_FL | Gu Xin Lv Lin Chen Meng Wang Weijia Hu Qi |
| Author_FL_xml | – sequence: 1 fullname: Chen Meng – sequence: 2 fullname: Lv Lin – sequence: 3 fullname: Hu Qi – sequence: 4 fullname: Wang Weijia – sequence: 5 fullname: Gu Xin |
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| Keywords | harmony search algorithm 和声搜索算法 distributed generation 配电网重构 distribution network reconfiguration 分布式电源 小概率变异 reverse learning technology small probability of mutation 反向学习技术 |
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| Notes | 23-1202/TH Chen Meng, Lv Lin, Hu Qi, Wang Weijia, Gu Xin （1.School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;2. Jiangxi Electrical Power Corporation, Ruichang 332200, Jiangxi, China; 3. China New Era Intemational Engineering Corporation, Xi ＇ an 710000, China） harmony search algorithm;distributed generation;distribution network reconfiguration;reverse learning technology;small probability of mutation The improved harmony search algorithm （IBEGA） is used to solve the problem of the distribution network reconfiguration with distributed generation .The algorithm introduces the random location update operation , reverse learning technology , small probability of mutation mechanism and fine-tune pitch correction probability strategies to the basic harmony search algorithm to enhance the algorithm ’ s mining and exploration capacity and improve the ability of global optimization , avoiding the premature convergence of the algorithm .The PQ and PV distributed power are process |
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| SubjectTerms | 分布式电源 反向学习技术 和声搜索算法 小概率变异 配电网重构 |
| Title | 基于改进和声搜索算法的含分布式电源的配电网重构 |
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