Parallel Differential Evolution Algorithm for Optimal Power Flow
Optimal power flow (OPF) is one of the most important tools in power system operation and control. Methods based on evolution mechanism have succeeded in obtaining more optimal solutions than conventional mathematic methods, but they suffer from the long computation time when system is becoming large. This paper proposes the solution of OPF using a new branch of evolutionary algorithm, differential evolution (DE), which has been proven to be simple but efficient in many applications. Parameter settings of DE in OPF applications are studied based on the simulation experiments. To speedup the computation process, DE is paralleled on a Beowulf PCcluster platform using message-passing interface (MPI) technology. Analyse and comparison of the simulation results on IEEE test systems with results reported in the literature show that DE is comparable to other methods; and the computational time is drastically reduced with the help of parallel computing technology.
Differential evolution evolution algorithm optimal power flow parallel computation
H. R. Cai C. Y. Chung K. P. Wong Eric Liu
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, P. R. China ABB Engineering (Shanghai) Ltd. Company, Shanghai, P. R. China, 200131
国际会议
广州
英文
2007-11-10（万方平台首次上网日期，不代表论文的发表时间）