文献类型：期刊文献

英文题名：Dynamic economic emission dispatch based on hybrid DE-PSO multi-objective algorithm [基于混合DE-PSO多目标算法的动态环境经济调度]

作者：Liu G. Zhu Y. Jiang W.

机构：[1]School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, 071003, China;[2]School of Electrical and Information Engineering, Guizhou Institute of Technology, Guiyang, 550003, China

第一机构：School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, 071003, China

年份：2018

卷号：38

期号：8

起止页码：1-7

外文期刊名：Dianli Zidonghua Shebei/Electric Power Automation Equipment

收录：Scopus(收录号：2-s2.0-85056225942)

基金：Project supported by the National Natural Science Foundation of China (51677072).

语种：英文

外文关键词：Best compromise solution; Differential evolution; Dynamic economic emission dispatch; Multi-objective optimization; Particle swarm optimization

摘要：The DEED (Dynamic Economic Emission Dispatch) in power system is a multivariable, strongly constrained, non-convex and multi-objective optimization problem, which is difficult to be solved by the traditional methods. Based on the fast convergence of DE (Differential Evolution) algorithm and the search diversity of PSO (Particle Swarm Optimization) algorithm, a hybrid DE-PSO multi-objective optimization algorithm combined with the advantages of the two algorithms is proposed to solve the DEED problem. The algorithm is based on the external archiving set and Pareto domination principle, and adopts a bi-population update strategy of DE and PSO with adaptive parameters and an improved Pareto solution clipping method. Three indexes are introduced to evaluate the performance of the algorithm, and the fuzzy decision technology is adopted to extract the best compromise solution from the Pareto front for decision makers to choose. The simulative results of a classic case show that the proposed algorithm can optimize the two conflicting objectives simultaneously, i.e. the cost and emission, and obtain wider and uniform Pareto front than other algorithms, which shows the feasibility and superiority of the proposed method. ? 2018, Electric Power Automation Equipment Press. All right reserved.