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。
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.
出处
《华东电力》
北大核心
2012年第3期458-461,共4页
East China Electric Power
基金
上海市教育委员会重点学科建设项目(J51303)~~
关键词
微网
电源规划
粒子群算法
罚函数
microgrid
generation planning
PSO algorithm
penalty function
