Energy Management Strategy Considering Multi-time-scale Operational Modes of Batteries for the Grid-connected Microgrids Community  

作　　者：Xiaowen Xing Lili Xie Hongmin Meng Xin Guo Lei Yue Josep M.Guerrero 

机构地区：[1]Department of Electrical Engineering,Northwestern Polytechnical University,Xi’an 710072,China [2]State Grid Information and Telecommunication Group Ltd.Co.,Beijing 102211,China [3]State Grid Beijing Fengtai Electric Power Supply Company,Beijing 100073,China [4]China Electric Power Research Institute,Beijing 100192,China [5]Department of Energy Technology,Aalborg University,Aalborg,9220,Denmark

出　　处：《CSEE Journal of Power and Energy Systems》2020年第1期111-121,共11页中国电机工程学会电力与能源系统学报（英文）

基　　金：This work was supported in part by the China Scholarship Council under the Grant(201606290197).

摘　　要：The advantages and promoting applications of the microgrids community(MGC)allows for a critical step being taken toward a smart grid.An energy management strategy(EMS)is essential to intelligently coordinate the operations of the MGC.This paper presents a multi-time-scale EMS consid-ering battery operational modes for grid-connected MGCs.The proposed strategy consists of two modules:day-ahead integrated optimization and realtime distributed compensation.The first module aims to minimize the operational cost of the MGC considering battery free-overcharging protecting.This problem is solved by the mixed integer linear programming(MILP)sim-ulating two charging/discharging modes:limited-current mode and constant-voltage mode.The second module is installed in local MGs to correct the optimizing deviations of the day-ahead static scheduling,which are caused by predicting errors of renewable energy and loads.The main contribution of this work is integrating the advantages of global optimization of the centralized method and the fast computing speed of the distributed method.Experimental results prove the proposed EMS is feasible and effective.The computing time at each updating step is reduced by 75%on average,which has the potential to be adopted in engineering.

关 键 词：Day-ahead optimization energy management strategy forecast errors microgrids community realtime compensation strategy 

分 类 号：TM73[电气工程—电力系统及自动化]