基于粒子群优化算法与混合罚函数法的最优潮流计算  

Optimal Power Flow by Particle Swarm Optimization and Mult-SUMT Method

作　　者：崔鹏程 陈明榜[2] 向铁元[2] 

机构地区：[1]上海电力公司超高压输变电公司,上海市普陀区200085 [2]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电网技术》2006年第S2期191-194,共4页Power System Technology

摘　　要：电力系统最优潮流的求解问题一直是电力市场研究的重点。该文介绍了一种新的演化优化算法,即粒子群算法(PSO)。该算法具有简单易实现,可调参数少的优点。笔者将其用于最优潮流的求解,结合混合罚函数来限制最优潮流的约束条件,使粒子群算法的寻优速度加快,迭代次数减少。通过在IEEE9节点和IEEE30节点上的仿真计算表明,该算法在优迭代速度和收敛精度上都取得了较好的效果。A brief introduction of Particle Swarm Optimization, one of the new evolutionary optimization algorithms, is given in this paper. We use it in the solution of the optimal power flow along with the Mult-SUMT, which is combined by interior point penalty function and exterior point penalty function. PSO can be implemented with ease and few parameters need to be tuned. We apply this hybrid algorithms to the calculation of IEEE9-bus and IEEE30-bus system respectively. Also we compare the results with quadratic programming(QP) and linear programming(LP) and the results prove the practicability of the PSO and Mult-SUMT.

关 键 词：粒子群算法 最优潮流 混合罚函数 

分 类 号：TM744[电气工程—电力系统及自动化]