中国电力2025,Vol.58Issue(11):122-134,13.DOI:10.11930/j.issn.1004-9649.202501053
动态电价下计及能量回收的电动汽车负荷时空引导策略
Spatio-temporal Guidance Strategy for Electric Vehicle Loads with Energy Recovery under Dynamic Pricing
摘要
Abstract
With the large-scale development of electric vehicles,the disorderly access of high-uncertainty electric vehicles to the grid will exacerbate the peak-valley difference of the grid,and it is necessary to improve the flexible adjustment ability of electric vehicles through the guidance of dynamic pricing.In addition,the energy recovery technology widely used in electric vehicles helps to reduce energy loss and carbon emission.This paper proposes a spatio-temporal guidance strategy for electric vehicle loads considering energy recovery under dynamic pricing.Firstly,based on the topological map of urban transportation network,an electric vehicle travel chain model considering urban functional areas is established.Secondly,based on Monte Carlo simulation method,a spatio-temporal distribution model of electric vehicle load considering electric vehicle braking energy recovery is constructed;and by introducing a charging utility function that considers users'sequential charging behavior,a Stackelberg game model is established to minimize distribution grid load fluctuations and electric vehicle user charging costs,which achieves the spatio-temporal guidance for electric vehicle loads considering energy recovery under a dynamic pricing mechanism.Finally,a case study is used to verify the effectiveness of the proposed method in guiding the spatio-temporal distribution of electric vehicle loads.关键词
电动汽车/时空分布/动态电价/能量回收/主从博弈模型Key words
electric vehicles/spatio-temporal distribution/dynamic electricity pricing/energy recovery/stackelberg game model引用本文复制引用
杨新桥,加鹤萍,李培军,李顺,龙羿,刘敦楠,黄辉..动态电价下计及能量回收的电动汽车负荷时空引导策略[J].中国电力,2025,58(11):122-134,13.基金项目
国家电网公司科技项目(5400-202427221A-1-1-ZN). This work is supported by Science and Technology Project of State Grid Corporation of China(No.5400-202427221A-1-1-ZN). (5400-202427221A-1-1-ZN)