Incentive Strategies For Responders Of Electric Vehicle Virtual Energy Storage Based On Comprehensive Contribution Evaluation

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.