基于改进蜜蜂进化型遗传算法的含分布式电源的配电网重构
为改善分布式电源（Distributed Generation，DG）并入电网后配电网重构算法的性能，提出一种基于佳点集的蜜蜂进化型遗传算法（Bee Evolutionary Genetic Algorithm Based on Good Point Set, GBEGA）。该算法的关键有三点：1．提出一种基于佳点集的种群初始化方法，该方法比随机方法产生的种群在搜索空间更为均匀；2．引进佳点集交叉算子，该算子能在父代附近进行更加精细的搜索；3．采用自适应的交叉变异概率，有利于算法开采与勘探的平衡。将DG处理为PQ、PV两种模型，并将GBEGA与相关文献中的算法关于IEEE33和IEEE69节点...
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| Published in | 电力系统保护与控制 Vol. 40; no. 15; pp. 52 - 56 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
西安建筑科技大学信息与控制工程学院,陕西西安,710055%西安理工大学计算机科学与工程学院,陕西西安,710048
2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-3415 |
| DOI | 10.3969/j.issn.1674-3415.2012.15.010 |
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| Abstract | 为改善分布式电源（Distributed Generation，DG）并入电网后配电网重构算法的性能，提出一种基于佳点集的蜜蜂进化型遗传算法（Bee Evolutionary Genetic Algorithm Based on Good Point Set, GBEGA）。该算法的关键有三点：1．提出一种基于佳点集的种群初始化方法，该方法比随机方法产生的种群在搜索空间更为均匀；2．引进佳点集交叉算子，该算子能在父代附近进行更加精细的搜索；3．采用自适应的交叉变异概率，有利于算法开采与勘探的平衡。将DG处理为PQ、PV两种模型，并将GBEGA与相关文献中的算法关于IEEE33和IEEE69节点系统进行了对比测试。仿真结果表明，GBEGA适合于含DG的配电网重构，在全局寻优能力和收敛速度上表现出色。 |
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| AbstractList | 为改善分布式电源（Distributed Generation，DG）并入电网后配电网重构算法的性能，提出一种基于佳点集的蜜蜂进化型遗传算法（Bee Evolutionary Genetic Algorithm Based on Good Point Set, GBEGA）。该算法的关键有三点：1．提出一种基于佳点集的种群初始化方法，该方法比随机方法产生的种群在搜索空间更为均匀；2．引进佳点集交叉算子，该算子能在父代附近进行更加精细的搜索；3．采用自适应的交叉变异概率，有利于算法开采与勘探的平衡。将DG处理为PQ、PV两种模型，并将GBEGA与相关文献中的算法关于IEEE33和IEEE69节点系统进行了对比测试。仿真结果表明，GBEGA适合于含DG的配电网重构，在全局寻优能力和收敛速度上表现出色。 TM72; 为改善分布式电源(Distributed Generation,DG)并入电网后配电网重构算法的性能,提出一种基于佳点集的蜜蜂进化型遗传算法(Bee Evolutionary Genetic Algorithm Based on Good Point Set,GBEGA).该算法的关键有三点:1.提出一种基于佳点集的种群初始化方法,该方法比随机方法产生的种群在搜索空间更为均匀；2.引进佳点集交叉算子,该算子能在父代附近进行更加精细的搜索；3.采用自适应的交叉变异概率,有利于算法开采与勘探的平衡.将DG处理为PQ、PV两种模型,并将GBEGA与相关文献中的算法关于IEEE33和IEEE69节点系统进行了对比测试.仿真结果表明,GBEGA适合于含DG的配电网重构,在全局寻优能力和收敛速度上表现出色. |
| Author | 王超学 吕志奇 董慧 崔杜武 孙有田 |
| AuthorAffiliation | 西安建筑科技大学信息与控制工程学院,陕西西安710055 西安理工大学计算机科学与工程学院,陕西西安710048 |
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| Author_FL | CUI Du-wu Lü Zhi-qi DONG Hui SUN You-tian WANG Chao-xue |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DocumentTitleAlternate | Distribution network reconfiguration with distributed generation based on an improved bee evolutionary genetic algorithm |
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| Keywords | 佳点集 配电网重构 自适应 分布式电源 蜜蜂进化型遗传算法 |
| Language | Chinese |
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| Notes | WANG Chao-xue, Lu Zhi-qi, DONG Hui, CUI Du-wu, SUN You-tian （1. School of Information and Control Engineering, Xi＇an University of Architecture ＆ Technology, Xi＇an 710055, China; 2. School of Computer Science and Engineering, Xi＇an University of Technology, Xi＇an 710048, China） To improve the performance of distribution network reconstruction algorithm with distributed generation （DG）, a new bee evolutionary genetic algorithm based on good point set （GBEGA） is proposed. The keys to GBEGA lies in three points as follows： firstly, proposing a population initialization method based on good point set, by which the distributing of initial population is more even in search space; secondly, introducing a crossover operator based on good point set, which has more elaborate search ability in the neighborhood of parent individuals; thirdly, adopting the self-adaption of crossover and mutation probability, which is conducive to balancing the exploration and exploitation capabilities of algorithm. Distributed generation i |
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| PublicationTitle | 电力系统保护与控制 |
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| Publisher | 西安建筑科技大学信息与控制工程学院,陕西西安,710055%西安理工大学计算机科学与工程学院,陕西西安,710048 |
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| SubjectTerms | 佳点集 分布式电源 自适应 蜜蜂进化型遗传算法 配电网重构 |
| Title | 基于改进蜜蜂进化型遗传算法的含分布式电源的配电网重构 |
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