Unified Bare Bone Particle Swarm for Economic Dispatch with Multiple Fuel Cost Functions

摘要：

Economic generating electric power is a very important issue for power utilities, especially in current state of fuel cost booming.In this paper, the unified bare bone particle swarm algorithm (UBPSO), which integrates local and global learning strategies, is proposed to solve economic dispatch problems with multiple fuel options.Tested on three systems with different number of units has verified that the proposed method can obtain better solution compared with other methods found in literature.

关键词： bare bone particle swarm optimization economic dispatch particle swarm optimization multiple fuel options

作者: Chang-Huang Chen Jia-Shing Sheu

作者单位: Department of Electrical EngineeringTungnan University Department and Graduate School of Computer Science National Taipei University of Education,

会议类型: 国际会议

会议名称: 第七届亚太防雷国际会议

会议地点: 成都

会议语种:英文

页码: 1-6

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）