电力工程技术2025，Vol.44Issue(6)：123-133,11.DOI:10.12158/j.2096-3203.2025.06.012
基于调度容量影响的并网光伏与V2G运行多目标优化
Multi-objective optimization of grid connected photovoltaics and V2G operation based on the influence of schedulable capacity
摘要
Abstract
The disorderly charging of large-scale electric vehicles connected to the power grid will lead to excessive load variance in the distribution network system.Fully utilizing the dual characteristics of electric vehicles can reduce the load variance of the power grid and achieve efficient utilization of green electricity,but user scheduling capacity is an important factor affecting the application of vehicle-to-grid interaction.This article applies the Monte Carlo method and the improved multi-objective particle swarm optimization algorithm with niche technology(niche-MOPSO)to study the multi-objective optimization strategy of grid-connected photovoltaics and V2G operation based on the impact of scheduling capacity.The research results indicate that as the charging participation rate of EVs gradually increases,disordered EV charging loads will lead to an increase in grid side load variance,but the impact on users'charging costs is relatively small.With the increase in EV scheduling capacity in the work area,the photovoltaic consumption rate gradually decreases,and the load variance shows a trend of first decreasing and then increasing.When the scheduling capacity is 30％,the load variance reaches its minimum,indicating that reasonable V2G calling is beneficial to the stability of power grid operation.Under the same scheduling capacity,the niche-MOPSO algorithm reduces the load variance and peak load,and also lowers user charging costs or increases user revenues.Moreover,the revenue under the V2G price incentive mechanism is much greater than that under the time-of-use electricity price mechanism.The niche-MOPSO algorithm can effectively optimize both load variance and user charging cost.关键词
电动汽车(EV)/车网互动(V2G)/光伏发电/负荷方差/价格激励/多目标优化Key words
electric vehicle(EV)/vehicle-to-grid(V2G)/photovoltaic power generation/load variance/price incentive/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
胡厚鹏,刘伟,肖艳红,杨尚,蔡曜泽,廖强强..基于调度容量影响的并网光伏与V2G运行多目标优化[J].电力工程技术,2025,44(6):123-133,11.基金项目
贵州省科技支撑计划资助项目(黔科合支撑[2022]一般015) （黔科合支撑[2022]一般015）
南方电网创新项目(GZKJXM20220036) （GZKJXM20220036）
