Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids

作     者：Hui Cai Qiyu Chen Zhijian Guan Junhui Huang 

作者机构：State Grid(Suzhou)City and Energy Research InstituteSuzhouChina State Grid Jiangsu Economic Research InstituteNanjingChina China Electric Power Research InstituteBeijingChina 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2018年第3卷第1期

页      面：93-107页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The research of this paper was supported by National Natural Science Foundation of China(No.51577032) Natural Science Foundation of Jiangsu Province(No.BK20160679) EPSRC UK-China joint research consortium(EP/F061242/1) Science bridge award(EP/G042594/1) 

主　　题：Microgrid Day-ahead schedule Charging/discharging strategy Electric vehicle(EV) Serial quadratic programming(SQP) 

摘      要：Microgrid as an important part of smart grid comprises distributed generators(DGs),adjustable loads,energy storage systems(ESSs)and control *** can be operated either connected with the external system or islanded with the support of *** the daily output of DGs strongly depends on the temporal distribution of natural resources such as wind and solar,unregulated electric vehicle(EV)charging demand will deteriorate the unbalance between the daily load curve and generation *** this paper,a statistic model is presented to describe daily EV charging/discharging behaviors considering the randomness of the initial state of charge(SOC)of EV *** optimization problem is proposed to obtain the economic operation for the microgrid based on this *** dayahead scheduling,with the estimated power generation and load demand,the optimal charging/discharging scheduling of EVs during 24 h is achieved by serial quadratic *** the optimal charging/discharging scheduling of EVs,the daily load curve can better track the generation *** network loss in grid-connected operation mode and required ESS capacity in islanded operation mode are both decreased.