In response to the current challenge of fixed time-of-use pricing strategies that struggle to incentivize elec-tric vehicles(EVs)to participate in wind power consumption,an optimal scheduling strategy for wind-integrated systems considering the regulatory potential of large-scale electric vehicles.Firstly,based on schedulable time and space,assessment indicators of regulatory potential of EVs are developed to establish a potential assessment model for the large-scale involvement of electric vehicles in grid regulation.Subsequently,EVs are categorized based on the regulatory potential assessment results,and a clustering-based time-of-use pricing model is devised that consid-ers the differences between wind power consumption and EV clusters.Moreover,with the objectives of minimizing the peak-valley difference in total load on grid side and minimizing charging costs for EV users,and charging and discharging states of EV clusters serving as decision variables,a model is established,taking into consideration in-terests of both grid and EV user.Ultimately,the feasibility and effectiveness of the proposed method are verified through example simulations.
EVwind power consumptionpotential assessmentclustering-based time-of-use pricingoptimal scheduling
国家科技期刊平台
NSTL
维普
万方数据
