中国电力2024，Vol.57Issue(1)：40-50,11.DOI:10.11930/j.issn.1004-9649.202308122
基于信息差距决策理论的虚拟电厂报价策略
Virtual Power Plant Quotation Strategy Based on Information Gap Decision Theory
摘要
Abstract
To further enhance the regulatory potential of distributed energy resource(DER),based on the information gap decision theory(IGDT),the bidding methods for virtual power plants(VPPs)participating in demand response(DR)strategies are divided into three strategy models:balanced,conservative and aggressive,and the robust and opportunity functions are designed for each strategy to optimize different types of decisions.Meanwhile,a ε-constraint model is set with consideration of the trade-off between carbon emissions and profits.The advantages and necessity of the proposed method were verified using an IEEE18 node system as the simulation environment.The simulation results show that the conservative VPP can ensure the minimum critical profit when the future price falls into the maximum robustness range;the progressive VPP can benefit from unexpected price fluctuations and achieve expected profits.关键词
虚拟电厂/信息差距决策理论/鲁棒性/机会函数Key words
virtual power plant/information gap decision theory/robustness/opportunity function deposition引用本文复制引用
谢蒙飞,马高权,刘斌,潘振宁,商云峰..基于信息差距决策理论的虚拟电厂报价策略[J].中国电力,2024,57(1):40-50,11.基金项目
国家自然科学基金资助项目(电力系统智能调度的高泛化性策略模型与元强化学习方法研究,52207105).This work is supported by National Natural Science Foundation of China(Research on High Generalization Strategy Model and Meta Reinforcement Learning Method for Intelligent Dispatching of Power Systems,No.52207105). （电力系统智能调度的高泛化性策略模型与元强化学习方法研究,52207105）
