Indexed by:会议论文

Date of Publication:2010-12-17

Included Journals:EI、CPCI-S、Scopus

Volume:143-144

Page Number:1364-+

Key Words:Utility Systems; Improved Particle Swarm Optimization; Energy Conservation

Abstract:In this paper, the operation optimization problem for utility systems is formulated and a mixed integer linear program (MILP) model is presented. The objective function of the model is to minimize the operational cost of utility systems during the whole operational period. In order to obtain the optimal solution of the foregoing model, an improved particle swarm optimization is proposed. Finally, a case with quantitive results presented is considered for illustrating the advantage of proposed optimization approach. Results show that the new algorithms are much more efficient than some existing particle swarm optimization algorithms.