基于改进PSO算法的短期发电计划研究  

Improved PSO algorithm and its application in short-term generation scheduling

作　　者：蒋秀洁[1] 熊信艮[2] 吴耀武[2] 

机构地区：[1]三峡大学电气信息学院,湖北宜昌443002 [2]华中科技大学电气工程学院,湖北武汉430074

出　　处：《电力自动化设备》2005年第3期34-37,40,共5页Electric Power Automation Equipment

摘　　要：介绍了粒子群优化算法PSO(Particle Swarm Optimization),并针对短期发电计划中的优化问题提出了一种改进PSO算法,将表示机组开停机状态的离散变量转换为0～1范围内的连续变量,与机组出力一起进行PSO优化搜索,然后再利用就近取整函数'round'将其转换成整数变量.详细描述了应用改进PSO算法求解机组优化启停问题的具体步骤.将该方法应用于10机系统,实验结果表明该改进PSO算法用于短期发电计划是可行的.PSO(Particle Swarm Optimization) algorithm is introduced, and an improved PSO algorithm is proposed for the optimization of short-term generation scheduling . The discrete variables representing the unit status are transformed to continuous variables from zero to one, which together with unit output, are optimized by PSO and finally transformed to integral variables using function'round'. Its implementation steps are detailed. A ten-machine system is tested with the proposed method, and the results show its feasibility.

关 键 词：电力系统 粒子群算法 短期发电计划 

分 类 号：TM715[电气工程—电力系统及自动化]