1. An optimal scheduling strategy for wind-integrated systems considering the regulatory potential of large-scale electric vehicles
- Author
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CHEN Yefu, WANG Qin, CAI Xinlei, YU Zhenfan, and SONG Dongkuo
- Subjects
ev ,wind power consumption ,potential assessment ,clustering-based time-of-use pricing ,optimal scheduling ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
In response to the current challenge of fixed time-of-use pricing strategies that struggle to incentivize electric 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 considers 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 interests of both grid and EV user. Ultimately, the feasibility and effectiveness of the proposed method are verified through example simulations.
- Published
- 2024
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