An Improved Particle Swarm Optimization Based on Adaptive Mutation and P Systems for Micro-grid Economic Operation

摘要：

　　A particle swarm optimization(PSO)algorithm based on adaptive mutation and P systems is proposed to overcome trapping in local optimum solution and low optimization precision in this paper.The algorithm combines the evolutionary rules of PSO,the strategy of adaptive mutation with the hierarchical membrane structure,and communication rules of P systems.At the same time,in order to achieve rapid economic operation and effectiveness of the micro-grid the proposed algorithm is investigated in experiments which are based on the function optimization of micro-grids economic operation.Furthermore,the feasibility and effectiveness of the proposed algorithm are shown in the experimental results.

关键词： Particle swarm optimization algorithm P systems Function optimization Economic operation

作者: Zhang Sun Tao Liu Jun Wang Juan Luo Hong Li

作者单位: School of Electrical and Information Engineering,Xihua University,No 999 Jinzhou Road,Chengdu,Sichuan,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 505-512

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）