Solved Environmental/Economic Dispatch Based on Multi-objective PSO

摘要：

A new multi-objective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem based on Particle Swarm Optimization (PSO) is proposed in this paper. The new algorithm has adopted the maintenance method of Pareto candidate solution set based on the max-min distance density. The algorithm effectively guarantees the convergence of the algorithm and the diversity solutions. The performance of algorithm has been examined over the standard IEEE 30-bus six generator test system, and other multi-objective evolutionary algorithm are compared. Testing and comparing results showed this paper algorithm is feasible and efficient.

关键词： environmental/economic dispatch multiobjectiveevolutionary Particle Swarm Optimization

作者: Libiao Zhang Xiangli Xu Sujing Wang Ming Ma Chunguang Zhou Caitang Sun

作者单位: College of Computer Science and Technology, Jilin University, Changehun 130012, P. R. China Information Management Center, Beihua University, Jilin 132013, P. R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2714-2717

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）