考虑补偿激励的电动汽车多区域优化调度策略
Multi-Region Optimal Scheduling Strategy for Electric Vehicles Considering Compensation Incentives
孙毅 1葛明洋 1王献春 2鲍荟谕 1杨泓玥 1姚陶2
作者信息
- 1. 华北电力大学电气与电子工程学院,北京 102206
- 2. 国网河北省电力有限公司信息通信分公司,石家庄 050000
- 折叠
摘要
针对充电区域内分布式新能源(DRE)与电动汽车负荷供需不均的问题,提出一种考虑补偿激励的电动汽车多区域优化调度策略,引导电动汽车前往不同充电区域充电,以促进DRE就地消纳.首先,基于需求价格弹性及用户时间焦虑建立电动汽车用户需求电量模型.其次,基于剩余电量可达原则和空闲时间冗余原则将电动汽车划分为可响应和不可响应集群,利用基于后悔理论的充电区域决策模型对可响应集群按区域作进一步划分.最后,建立电动汽车多区域优化调度模型,从最大化充电服务商经济效益及DRE消纳程度两个方面对充电价格进行优化.通过仿真验证证明所提优化策略能够充分考虑时间焦虑和价格弹性对电动汽车用户的影响,充分挖掘用户的响应潜力,在降低DRE消纳偏差量和提高充电服务商经济效益方面具有明显效果.
Abstract
Aimed at the problem of uneven supply and distributed renewable energy(DRE)in charging regions and electric vehicle(EV)loads,a multi-region optimal scheduling strategy for EVs considering compensation incentives is proposed to guide EVs to choose different charging regions,so as to promote local consumption of distributed energy.First,an EV charging response model is established based on the price elasticity of demand and users'time anxiety.Then,based on the principle of remaining power availability and idle time redundancy,EVs are divided into responsive cluster and non-responsive cluster.A charging area decision model based on regret theory is used to further divide the responsive cluster by region.Finally,a multi-region optimal scheduling model for EVs is established,and the charging price is optimized in terms of maximizing the economic benefits of charging service providers and the consumption of DRE.Simulation cases show that the proposed optimization strategy can fully consider the impact of time anxiety and price elasticity on EV users,fully tap the users'response potential,and has obvious effects in reducing the deviation of distributed new energy consumption and improving the economic benefits of charging service providers.
关键词
电动汽车/分布式新能源/充电补偿/时间焦虑Key words
electric vehicle(EV)/distributed renewable energy(DRE)/charging compensation/time anxiety引用本文复制引用
基金项目
国家电网科技项目(5204XA22000D)
出版年
2024
NETL
NSTL
万方数据