摘要
简单介绍了基本的粒子群算法,阐述了在电力系统无功优化中的数学模型和变量的约束条件。对于粒子群算法容易陷入局部最优解和后期收敛速度比较慢的问题提出了两个改进的方法,并且在IEEE-6节点系统上进行仿真实验,证明了本算法的可行性和优越性.
This paper briefly describes the basic particle swarm algorithm, and elaborates the mathematical model and variable constraints in the reactive power optimization. To solve two major problems facing the particle swarm algorithm： easy to fall into local optimal solution and relatively slow post-convergence rate, it proposes two methods which were simulated in IEEE-6 node system. The simulation results prove the feasibility and superiority of the algorithm.
出处
《湖北工业大学学报》
2013年第2期41-44,共4页
Journal of Hubei University of Technology
关键词
无功优化
粒子群算法
早熟现象
收敛速度
Reactive power optimization
Particle Swarm algorithm
premature phenomenon
convergencerate
