电工技术学报2004，Vol.19Issue(5)：47-54,8.
基于粒子群优化算法和动态调整罚函数的最优潮流计算
Optimal Power Flow Using Particle Swarm Optimization and Non-Stationary Multi-Stage Assignment Penalty Function
摘要
Abstract
This paper presents the solution of the optimal power flow (OPF) using particle swarm optimization (PSO) technique. The main goal of this paper is to verify the viability of using PSO problem composed by the different objective functions. Incorporation of non-stationary multi-stage assignment penalty function in solving OPF problem can significantly improve the convergence and gain more accurate values. The proposed PSO method is demonstrated and compared with linear programming (LP) approach and genetic algorithm (GA) approach on the standard IEEE 30-bus system. The results show that the proposed PSO method is capable of obtaining higher quality solutions efficiently in OPF problem.关键词
最优潮流/粒子群优化算法/动态调整罚函数Key words
Optimal power flow/particle swarm optimization/non-stationary multi-stage assignment penalty function分类
信息技术与安全科学引用本文复制引用
赵波,郭创新,曹一家..基于粒子群优化算法和动态调整罚函数的最优潮流计算[J].电工技术学报,2004,19(5):47-54,8.基金项目
This project supported by National Natural Science Foundation of China (No.60074040,60225006). （No.60074040,60225006）
