摘要
针对风光互补抽水蓄能电站各部分容量之间的关系,给出了一种基于改进粒子群算法的最佳容量的优化设计方案.通过对抽水蓄能模块的建模分析,建立风光互补抽水蓄能电站容量配置的优化模型,给出相应容量配置要求.研究结果表明,文中互补开发方式可以解决单一发电系统存在的弊端,提高发电效率,具有很好的实际应用价值.
Considering he relationship between the capaci-ties of each part of the wind--solar complementary pumped stor-age power station,an optimal design scheme based on Improved Particle Swarm Optimization(IPSO)algorithm is presented.Through the modeling and analysis of the pumped storage mod-ule,the optimization model of the capacity allocation of the wind-solar complementary pumped storage power station is es-tablished,and the corresponding capacity allocation require-ments are given.The research results show that the complementa-ry development method in this paper can solve the drawbacks of a single power generation system and improve the power genera-tion eficiency,which has good practical application value.
作者
戴嘉彤
董海鹰
DAI Jiatong;DONG Haiying(School of Automation and Electric Engineering,Lanzhou Jiaotong University.Lanzhou 730070,Gansu,China)
出处
《电网与清洁能源》
2019年第6期76-82,共7页
Power System and Clean Energy
基金
国家重点研发计划项目(2017YFB0902200)~~
关键词
抽水蓄能电站
粒子群算法
优化配置
容量配比
风光互补发电系统
pumped storage power station
particle swarm algorithm
optimal configuration
capacity ratio
wind and solar complementary system
