Reactive Power Optimization of Distribution Network based on improved artificial fish swarm algorithm

摘要：

The hybrid artificial fish swarm optimization algorithm based on mutation operator and simulated annealing algorithm (MAFSA) is studied and improved. The mutation operator was improved and a method for tentative determining of mutation probability was presented in improved MAFSA (IMAFSA). Besides,economic and security objective function is also applied to improve the model of reactive power optimization of distribution network. The result obtained from simulated calculation in real distribution network shows that the IMAFSA applied in reactive power optimization of distribution network is reasonable and feasible.

关键词： Artificial fish swarm algorithm Distribution network Reactive power optimization Mutation operator

作者: Yuan Yuan Zhu Hong Zhang Ming Zhu Hongqin Wang Xuyan Wang He Chen Jincao Zhang Junfang

作者单位: Dispatch Center,Nanjing Power Supply,Nanjing 210008,Jiangsu Province,China Department of Power System and Automation,Nanjing University of Science and Technology,Nanjing

会议类型: 国际会议

会议名称: 2010年中国国际供电会议(CICED 2010)

会议地点: 南京

会议语种:英文

页码: 174-178

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）