| 基于混合粒子群算法的分布式微网电源规划 |
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| 引用本文： | 吴海涛,黄福珍. 基于混合粒子群算法的分布式微网电源规划[J]. 华东电力, 2012, 0(3): 458-461 |
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| 作者姓名： | 吴海涛 黄福珍 |
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| 作者单位： | 上海电力学院电力与自动化工程学院 |
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| 基金项目： | 上海市教育委员会重点学科建设项目(J51303)~~ |
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| 摘 要： | 将自然选择机理与粒子群算法结合应用到可再生能源分布式微网电源规划中,应用罚函数法引入约束条件,建立微网电源规划模型,以满足负荷、成本的需求。在实际算例中将混合粒子群算法与基本粒子群算法进行对比,说明了混合例子群算法在分布式微网电源规划中的有效性。
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| 关 键 词： | 微网 电源规划 粒子群算法 罚函数 |
Distributed Generation Planning for Microgrid Based on Hybrid Particle Swarm Optimization Algorithm |
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| WU Hai-tao,HUANG Fu-zhen. Distributed Generation Planning for Microgrid Based on Hybrid Particle Swarm Optimization Algorithm[J]. East China Electric Power, 2012, 0(3): 458-461 |
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| Authors: | WU Hai-tao HUANG Fu-zhen |
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| Affiliation: | (School of Electric Power and Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China) |
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| Abstract: | A hybrid algorithm combining natural selection mechanism and particle swarm optimization(PSO) is presented and applied to plan and design the distributed microgrid generation.Based on the need of load and cost,a model for microgrid generation planning is developed,in which the constraint condition is introduced by the penalty function. The validity of the proposed hybrid PSO algorithm in the distributed generation planning for microgrid is proven after doing the comparative experiment between the performance of hybrid PSO algorithm and that of the basic PSO algorithm. |
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| Keywords: | microgrid generation planning PSO algorithm penalty function |
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