Energy Management and Optimization of Vehicle-to-grid Systems for Wind Power Integration  

作　　者：Wei Wang Liu Liu Jizhen Liu Zhe Chen 

机构地区：[1]the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China [2]the School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China [3]with the Department of Energy Technology,Aalborg University,9220 Aalborg,Denmark

出　　处：《CSEE Journal of Power and Energy Systems》2021年第1期172-180,共9页中国电机工程学会电力与能源系统学报（英文）

基　　金：the Central Universities(2018ZD05).

摘　　要：An approach to smoothing the fluctuations of largescale wind power is investigated using vehicle-to-grid(V2G)systems.First,an energy management and optimization system is designed and modeled.By using the wavelet packet decomposition method,the target grid-connected wind power,the required electric vehicle(EV)power,and supercapacitor power are determined.The energy management model for EVs is then developed by introducing a knapsack problem that can evaluate the needs of an EV fleet.Furthermore,an optimized dispatch strategy for EVs and wind power is developed by using a dynamic programming method.A case study demonstrates that the energy management and optimization method for V2G systems achieves noticeable performance improvements over benchmark techniques.

关 键 词：Dynamic programming electric vehicle knapsack problem wavelet packet decomposition wind power integration 

分 类 号：TM73[电气工程—电力系统及自动化]