电力系统自动化2025，Vol.49Issue(20)：84-93,10.DOI:10.7500/AEPS20250430005
现货市场下考虑绿电合约分解的EV型虚拟电厂优化投标模型
Optimal Bidding Model for Electric Vehicle Virtual Power Plant Considering Green Electricity Contract Decomposition in Spot Market
摘要
Abstract
Electric vehicle virtual power plants(EV-VPPs)can aggregate large-scale electric vehicles(EVs)to participate in green electricity and spot market trading.Green electricity contract is a key link between the green electricity medium-and long-term market and the spot market.Its decomposition modes may directly influence the bidding strategies,market settlement costs,and operation profits of EV-VPPs.To this end,considering the influences of decomposition modes of green electricity contracts,demand response mechanisms,and multiple uncertainties such as day-ahead electricity prices,real-time electricity prices,and charging loads of EVs,the classification modeling of regulation capabilities for various EV types is conducted.Based on the two-stage stochastic optimization and conditional value at risk theory,the optimal day-ahead market bidding model for EV-VPPs is established.The case study results show that the proposed model can smooth EV loads,allow the bidding strategies of EV-VPPs to be developed in line with their risk preference,reduce the trading risks of EV-VPPs,and improve operating profits.关键词
虚拟电厂/电动汽车/现货市场/绿电/投标模型Key words
virtual power plant(VPP)/electric vehicle(EV)/spot market/green electricity/bidding model引用本文复制引用
葛鑫鑫,路佳鑫,王飞,张宁..现货市场下考虑绿电合约分解的EV型虚拟电厂优化投标模型[J].电力系统自动化,2025,49(20):84-93,10.基金项目
国家重点研发计划资助项目:"规模化灵活资源虚拟电厂聚合互动调控关键技术"(2021YFB2401200). This work is supported by National Key R&D Program of China(No.2021YFB2401200). （2021YFB2401200）
