Quantum-behaved particle swarm optimization with Cauchy disturbance for power economic dispatch

摘要：

This paper presents a modified quantum behaved particle swarm optimization for power economic dispatch with several equality and inequality constraints. Inspired by the quantum behaved particle swarm optimization method and Cauchy distribution, which has the characteristics of long wings, we introduce the quantum-behaved particle swarm optimization with Cauchy disturbances to perturb the average position. The novel method is good for avoiding algorithm premature. And then we hand constraints with penalty functions to solve economic dispatch problem of power system. Then we apply this algorithm on the 15 units system, the simulation results are presented to show the comparative performance of these methods.

关键词： quantum-behaved particle swarm optimization economic dispatch Cauchy disturbance penalty functions

作者: Lei Xu Lan Zhang Jie Dang

作者单位: Department of Aeronautical Materials, Xian Aeronautical Ploytechnic Institute, Shaanxi, Xian,China Department of Basic, Xian Aeronautical Ploytechnic Institute,Shaanxi, Xian,China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 628-631

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）