电力建设2025，Vol.46Issue(1)：27-36,10.DOI:10.12204/j.issn.1000-7229.2025.01.003
上海市虚拟电厂市场化的盈利模式实践与探索
Practice and Exploration of Market-oriented Profit Models for Virtual Power Plants in Shanghai
摘要
Abstract
Integrating a high proportion of renewable energy to achieve dual-carbon strategic goals has resulted in new challenges for the regulatory capability of power systems.Virtual power plants(VPPs)have extensive industrial applications as an effective means of exploiting demand-side flexible resources.However,the current application scenarios of VPPs are relatively simple and a market-oriented profit model for sustainable operations has not yet been established.To promote the market-oriented development of VPPs,a series of policies has been introduced by the government at all levels.Focusing on the actual situation in Shanghai,this paper first summarizes the construction and development of VPPs and introduces the achievements and development directions of the various VPP practices followed in Shanghai.Second,according to the domestic market development situation,the profit models of VPPs participating in the demand response,spot markets,and ancillary service markets are analyzed,and a brief outlook is provided on the future expandable business of VPPs.Furthermore,a market-oriented profit model for VPPs participating in multiple market types is established to improve their operating benefits by reusing the regulation capabilities in different scenarios.Finally,the effectiveness and feasibility of the proposed model are verified through case studies.The results of this study are significant for promoting the market-oriented development of VPPs,improving the regulation capability of power systems,and achieving sustainable development goals.关键词
虚拟电厂(VPP)/需求响应/现货市场/调峰市场Key words
virtual power plant(VPP)/demand response/spot market/peak shaving market分类
动力与电气工程引用本文复制引用
李庆,董玉芳,刘子腾,石智豪,王湘,范帅,何光宇..上海市虚拟电厂市场化的盈利模式实践与探索[J].电力建设,2025,46(1):27-36,10.基金项目
This work is supported by National Natural Science Foundation of China(No.52207123). 国家自然科学基金项目(52207123) （No.52207123）
