Multiobjective optimal dispatch of microgrid based on analytic hierarchy process and quantum particle swarm optimization

作     者：Yuxin Zhao Xiaotong Song Fei Wang Dawei Cui Yuxin Zhao;Xiaotong Song;Fei Wang;Dawei Cui

作者机构：School of Electrical and Control EngineeringNorth China University of TechnologyBeijing 100144P.R.China State Grid Shandong Electric Power CompanyJinan 250001P.R.China State Grid Brazil Holding S.A.Rio de Janeiro20071-004RJBrasil 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2020年第3卷第6期

页      面：562-570页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：State Grid Corporation Science and Technology Project(520605190010) 

主　　题：Analytic hierarchy process(AHP) Quantum particle swarm optimization(QPSO) Multiobjective optimal dispatch Microgrid. 

摘      要：Owing to the rapid development of microgrids(MGs)and growing applications of renewable energy resources,multiobjective optimal dispatch of MGs need to be studied in *** this study,a multiobjective optimal dispatch model is developed for a standalone MG composed of wind turbines,photovoltaics,diesel engine unit,load,and battery energy storage *** economic cost,environmental concerns,and power supply consistency are expressed via subobjectives with varying ***,the analytic hierarchy process algorithm is employed to reasonably specify the weight coefficients of the *** quantum particle swarm optimization algorithm is thereafter employed as a solution to achieve optimal dispatch of the ***,the validity of the proposed model and solution methodology are con firmed by case *** study provides refere nee for mathematical model of multiojective optimizati on of MG and can be widely used in current research field.