Open AccessIncentive strategies for responders of electric vehicle virtual energy storage based on comprehensive contribution evaluation
Author(s) -
Bei Li,
Meng Niu,
Hongrui Wu,
Mengjiao Zou,
Yue Zhang,
Dunnan Liu,
Shanshan Shang,
Qianqian Wang,
Tingting Zhang,
Mingguang Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/647/1/012147
Subject(s) - incentive , electric vehicle , compensation (psychology) , grid , electricity , environmental economics , demand response , computer science , punishment (psychology) , operations research , automotive engineering , business , transport engineering , power (physics) , engineering , microeconomics , economics , electrical engineering , physics , quantum mechanics , psychology , social psychology , geometry , mathematics , psychoanalysis
The user-side demand resources of electric vehicles are integrated by load aggregators to respond to grid dispatch, which will bring many value-added benefits to the grid and other entities in the market. This article analyzes and constructs evaluation indicators from the two aspects of power contribution and response rate contribution to analyze the contribution of electric vehicle operators and electric vehicle users. The TOPSIS-grey correlation evaluation model is established and divided into four stages: state determination, reward and punishment analysis, peak-valley combination, and incentive distribution to analyze the comprehensive contribution of electric vehicle users.This is conducive to determining the amount of electricity and the response range of response speed when electric vehicles participate in the market to obtain rewards or punishments, and then distribute the compensation value and value-added benefits obtained when electric vehicle users participate in the regulation operation.