摘要
提出了一种基于改进粒子群优化算法的有功最优潮流模型及求解方法,采用了自适应罚函数法处理最优潮流问题的各种约束条件。通过对IEEE-30节点系统的仿真计算,并且与遗传算法进行比较,验证了提出的模型和方法的有效性。
A model for optimal active power flow is presented and the method based on improved particle swarm optimization algorithm is proposed, The adaptive penalty function is introduced to solve the various constraints of optimal power flow. The proposed method is demonstrated and compared with GA approach on the standard IEEE 30-bus system, The test results indicates the validity of the proposed model and method.
出处
《华中电力》
2008年第1期18-20,24,共4页
Central China Electric Power
关键词
粒子群优化算法:最优潮流:遗传算法
particle swarm optimization algorithm
optimal power flow
genetic algorithm
