作者: Belkacem Mahdad , K. Srairi , T. Bouktir , M. El Benbouzid
DOI: 10.1109/ENERGYCON.2010.5771703
关键词: Fuzzy set 、 Particle swarm optimization 、 Economic dispatch 、 Robustness (computer science) 、 Local search (optimization) 、 Fuzzy control system 、 Mathematical optimization 、 Fuzzy logic 、 Global optimization 、 Mathematics
摘要: This paper proposes a version of fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solve large nonconvex economic dispatch problems. The proposed combines practical experience extracted from global database formulated in rules adjust dynamically the three parameters associated PSO mechanism search. adaptive executed procedure as local search explore space very effectively. robustness modified tested on 40 generating units with prohibited zones and compared recent hybrid methods. results show that can converge near solution obtain competitive reasonable time previous approaches.