粒子群优化算法及在电力系统中的应用  

the Particle Swarm Optimization and Application to Power System

作　　者：李丽娜[1] 刘剑[1] 褚兴男[1] 

机构地区：[1]沈阳建筑大学信息与控制工程学院,辽宁沈阳110168

出　　处：《科技广场》2007年第7期204-206,共3页Science Mosaic

基　　金：国家建设部项目(05-K6-20)

摘　　要：粒子群优化PSO(Particle Swarm Optimization)算法是一种有效的全局优化技术,PSO算法通过粒子间的相互作用在复杂搜索空间中寻求最优区域。PSO的优势在于算法简单,容易实现。从研究PSO算法及其在电力系统中的无功优化、最优潮流计算、电网扩展规划、机组优化组合、经济负荷分配等方面的应用现状出发,对其研究发展方向作了展望。Particle swarm optimization （PSO） algorithm is an efficient stochastic global optimization technique. PSO finds optimal regions of complex search spaces through the interaction of individuals in a population of particles. The advantages of PSO lie in simple algorithm and realized easily. In this paper, PSO algorithm, and the present condition of applying PSO in following aspects relevant to power system, such as optimal control of reactive power, optimal power flow calculation, distribution system expansion planning, unit optimization commitment, and load economic dispatch, are introduced. And the development direction of the research is also forecasted.

关 键 词：粒子群优化算法 群体智能 演化计算 电力系统 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]