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基于改进鸡群算法的微电网协同优化运行研究 被引量:18

Cooperative Optimal Operation of Micro-grid Based on Improved CSO
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摘要 文中考虑了含风、光、微型燃气轮机、火电机组、蓄电池、燃料电池的典型微电网系统协同优化运行问题。综合考虑出力源的发电成本、燃料成本、环境治理成本、购电成本和售电收益后,建立了典型微电网系统并网和孤网两种运行方式下的优化函数,采用粒子群算法和改进鸡群算法对其优化函数进行求解,得出优化周期内各电源出力情况,并对仿真分析比较,得出具有普适性的控制策略,并验证改进鸡群算法的优点。 This article considers cooperative optimal operation of the typical micro-grid system combining wind turbine,photovoltaic cell,micro turbine,thermal power,storage battery and full cell.After considering the power generation cost,fuel cost,environmental management cost,purchase cost and sales income.The optimization function of grid system and grid network is analyzed by particle swarm optimization algorithm and improved chicken swarm optimization,and the output of each power supply in the optimization period is obtained,and the simulation analysis and comparison are made.Having universal control strategy,and verifying the advantages of the improved chicken swarm optimization.
作者 李静雅 易庚 胡汉梅 黄景光 LI Jingya;YI Geng;HU Hanmei;HUANG Jingguang(Economic Technology Research Institute of State Grid Xinjiang Electric Power Company,Urumqi 830000,China;College of Electrical Engineering and New Energy,China Three Gorges University,Hubei Yichang 433002,China)
出处 《高压电器》 CAS CSCD 北大核心 2019年第7期203-210,共8页 High Voltage Apparatus
基金 国家自然科学基金项目(51477090)~~
关键词 微网 经济运行 优化 改进鸡群算法 micro-grid economic operation optimization improved CSO
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