Improved particle swarm optimization for power economic dispatch considering emission

摘要：

　　This paper presents an Improved Particle Swarm Optimization with Multiplier Updating (IPSO-MU) for solving Power Economic Dispatch (PED) problems considering emission.The Improved Particle Swarm Optimization (IPSO) has the ability to efficiently search and actively explore solutions.Multiplier Updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty to solution searching.To handle the PED problems considering emission,the ε-constraint technique is employed.The proposed approach integrates the ε-constraint technique,IPSO,and the MU.The simulation using the proposed method is carried out on a 6-unit test system,and results are compared with that obtained using other different methods.Numerical results indicate that the proposed approach is superior to other methods in solution quality and computational burden.

关键词： emission particle swarm optimization power economic dispatch

作者: C.L.Chiang

作者单位: Nan Kai University of Technology, Taiwan, P.R.China

会议类型: 国际会议

会议名称: 2012 International Conference on Frontiers of Energy and Environmental Engineering(2012年第二届能源与环境工程前沿国际会议(ICFEEE2012))

会议地点: 香港

会议语种:英文

页码: 373-376

在线出版日期: 2012-12-01（万方平台首次上网日期，不代表论文的发表时间）