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
谢蒙飞 1马高权 1刘斌 1潘振宁 2商云峰3
作者信息
- 1. 昆明电力交易中心有限责任公司,云南昆明 650011
- 2. 华南理工大学电力学院,广东广州 510641
- 3. 国家电投山东能源发展有限公司鲁东分公司,山东烟台 264000
- 折叠
摘要
为进一步提升分布式能源的调节潜力,基于信息差距决策理论,将探讨虚拟电厂(virtual power plant,VPP)在参与需求响应(demand response,DR)策略时的竞价方式分为平衡型、保守型和进取型 3 种策略模型,并为每种策略设计鲁棒函数和机会函数,分别实现对不同类型决策的优化.同时,设置ε约束模型,考虑了碳排放和利润的权衡关系.采用IEEE 18节点系统作为仿真环境,验证了所提方法的优点和必要性.仿真结果表明,保守型VPP能够保证在未来价格落入最大鲁棒性区间时获得最小关键利润;进取型VPP能够从意外的价格波动中获益,并实现期望的利润.
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
基金项目
国家自然科学基金资助项目(52207105)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据