Scenario-oriented hybrid particle swarm optimization algorithm for robust economic dispatch of power system with wind power  

作　　者：WANG Bing ZHANG Pengfei HE Yufeng WANG Xiaozhi ZHANG Xianxia 

机构地区：[1]School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China

出　　处：《Journal of Systems Engineering and Electronics》2022年第5期1143-1150,共8页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(62173219,62073210).

摘　　要：An economic dispatch problem for power system with wind power is discussed.Using discrete scenario to describe uncertain wind powers,a threshold is given to identify bad scenario set.The bad-scenario-set robust economic dispatch model is established to minimize the total penalties on bad scenarios.A specialized hybrid particle swarm optimization(PSO)algorithm is developed through hybridizing simulated annealing(SA)operators.The SA operators are performed according to a scenario-oriented adaptive search rule in a neighborhood which is constructed based on the unit commitment constraints.Finally,an experiment is conducted.The computational results show that the developed algorithm outperforms the existing algorithms.

关 键 词：wind power robust economic dispatch SCENARIO simulated annealing(SA) particle swarm optimization(PSO) 

分 类 号：TM614[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]