Unified bare bone particle swarm for economic dispatch with multiple fuel cost functions

Abstract

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.