计及消纳风光的电动汽车充放电多目标优化调度

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中图分类号：TM73 文献标志码：A 文章编号：2097-3853（2025）04-0354-07

Multi-objective optimization scheduling of electric vehicle charging and discharging considering accommodation of wind and solar energy

DU Feng1， XIANG Zhihao² （1.School of Architecture and Urban Planning，Fujian University of Technology，Fuzhou 350118，China; .School of Electronic，Electrical EngineeringandPhysics，Fujian Universityof Technology，Fuzhou 350l18，China）

Abstract： A study was conducted addressing the issue of disordered accessof electric vehicles into the power grid，proposing a method forthe scheduling of electric vehicle charging and discharging in conjunction with the accommodation of wind and solar energy. Models for orderly and disorderly charging of electric vehicles were established. Under the guidance of a dynamic time-of-use electricity pricing mechanism，with the objectives of minimizing the peak-to-valleydiffrence of the microgrid’s equivalent load and minimizing theoperational cost of electric vehicles，a multi-objective scheduling model for electric vehicle charging and discharging considering the consumption of wind and solar energy was established.A multi-objective particle swarm algorithm based on niches was used to solve the model.Through case analysis，it was concluded that the model can not only reduce the cost of electric vehicle charging and discharging and decrease the load peak-to-valey diffrence，but also effctively increase the consumption of wind and solar energy.

Keywords：multi-objective optimization scheduling；wind and solar energy accommodation; dynamic time-ofuse electricity pricing；niching technology；electric vehicle

近年来，电动汽车（EV）的普及给电网带来了较大的压力[1]。（剩余8046字）