| 分布式电源选址定容的多目标优化算法 |
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| 引用本文： | 夏澍,周明,李庚银. 分布式电源选址定容的多目标优化算法[J]. 电网技术, 2011, 35(9): 115-121 |
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| 作者姓名： | 夏澍 周明 李庚银 |
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| 作者单位： | 华北电力大学电气与电子工程学院,北京市昌平区,102206 |
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| 基金项目： | 国家重点基础研究发展计划项目(973项目)(2009CB-219706)~~ |
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| 摘 要： | 在综合考虑网损、电压质量和电流质量3个指标的基础上,建立了分布式电源选址定容的多目标决策模型,并提出了一种改进多目标微分进化算法(improved differential evolution for multiobjective optimization,IDEMO).该算法引入混沌搜索策略以提高初始种群利用率,采用...
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| 关 键 词： | 分布式电源 选址定容 多目标微分进化算法 帕累托解集 多目标决策方法 |
Multi-objective Optimization Algorithm for Distributed Generation Locating and Sizing |
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| XIA Shu , ZHOU Ming , LI Gengyin. Multi-objective Optimization Algorithm for Distributed Generation Locating and Sizing[J]. Power System Technology, 2011, 35(9): 115-121 |
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| Authors: | XIA Shu ZHOU Ming LI Gengyin |
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| Affiliation: | XIA Shu,ZHOU Ming,LI Gengyin(School of Electrical and Electronic Engineering,North China Electric Power University,Changping District,Beijing 102206,China) |
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| Abstract: | The paper proposes a multi-objective decision making approach for distributed generation locating and sizing,comprehensively considering three indices of network power losses,voltage deviation and current deviation,and presents an improved differential evolution algorithm for multiobjective optimization(IDEMO).The chaotic serching strategy is introduced to improve the availability rate of initial population;the adjustment strategies for control parameters are used to strengthen global optimal searching capa... |
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| Keywords: | distributed generation locating and sizing differential evolution for multiobjective optimization Pareto solution set multi-objective decision making |
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