电力需求侧管理2025，Vol.27Issue(6)：112-117,6.DOI:10.3969/j.issn.1009-1831.2025.06.017
计及多元不确定性的虚拟电厂竞价策略
Bidding strategies of virtual power plants considering diverse uncertainties
摘要
Abstract
Virtual power plant(VPP),as an aggregated energy system,is faced with a difficult problem that the uncertain wind power and solar power and the random charging behavior of electric vehicles affect its economy.Therefore,a virtual power plant bidding strategy that takes into account diverse un-certainties is proposed,which can improve the absorption capacity of renewable energy and in-crease the in-come level.Firstly,the particle swarm optimization(PSO)-long term memory(LSTM)algorithm is used to convert the wind power and EV charging demand into deterministic scenarios based on the real data and the charging capacity boundaries.Then,considering the uncer-tainty of group loads of renewable energy and electric vehicles,a bidding strategy model of virtual power plant is established based on the output deviation variables and the Cournot game.Finally,a numerical example is given to verify the effective-ness of the proposed model.关键词
虚拟电厂/不确定性/竞价策略/古诺博弈Key words
virtual power plant/uncertainty/bidding strategy/Cournot game分类
信息技术与安全科学引用本文复制引用
杨轩,曹晓庆,程少靖,杨振华,吴恒..计及多元不确定性的虚拟电厂竞价策略[J].电力需求侧管理,2025,27(6):112-117,6.基金项目
国家电网公司科技项目(5400-202318574A-3-2-ZN) （5400-202318574A-3-2-ZN）
