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Keywords

electric vehicle grid integration; peak load; bi-level optimization; low-carbon optimization; optimization scheduling

Abstract

As an emerging green energy carrier, electric vehicles (EVs), with their long idle time and energy storage characteristics, can not only relieve load pressure of the electric power grid but also achieve coordinated interaction between power sources and loads through rational scheduling, thereby reducing carbon emissions. Therefore, how to fully leverage the flexibility of EVs and develop an optimization operation strategy that takes the objectives of electric power grid safety, economy, and low carbon into account has become an urgent and critical issue. A low-carbon optimization scheduling method for peak loads is proposed, focusing on the scheduling strategy of EVs as an energy storage resource of vehicle to grid (V2G). To incentivize EV owners' willingness to participate, a bi-level optimization scheduling method is introduced by considering the economic incentives of EV owners. In this method, the upper level represents the power system, aiming to develop the charging and discharging plans of V 2G energy storage by minimizing the comprehensive cost. The lower level represents the EV owners, aiming to minimize their economic expenditure while considering battery degradation. Simulation results demonstrate that the proposed bi-level optimization method not only enhances the power system's power supply reliability and low-carbon performance but also takes the economic interests of EV owners into account, thereby increasing the willingness and feasibility of EV owners to participate in V2G energy storage scheduling.

DOI

10.19781/j.issn.1673-9140.2026.01.011

First Page

108

Last Page

117

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