中国电力2026，Vol.59Issue(4)：94-104,11.DOI:10.11930/j.issn.1004-9649.202401044
考虑碳排放影响的长期发电投资决策方法
A long-term power generation investment decision-making method considering carbon emission impacts
摘要
Abstract
To meet the demand for low-carbon transition of new power systems,this paper develops a long-term decision-making analysis model for power generation investment.First,the model considers the strategic decision-making of conventional price-leading generation,as well as the perfectly competitive decision-making of newly market-entering renewable generation as price-takers,to satisfy the long-term carbon emission reduction constraints.Second,a centralized quadratic programming approach based on the Nash-Gounod game is used to analyze the day-ahead electricity market prices.Then,in the proposed model,investment decisions(once a year)and production decisions(in each time period within a year)are made simultaneously,and an open-loop Gounod game model is built accordingly.Finally,the performance of the proposed method is evaluated in a simulated electricity market,where the game is tested over a period of up to 20 years,and the price and investment decisions under a series of scenarios,as well as the impacts of the number of market participants,emission limits,or emission policies,are analyzed.The results show that the application of the proposed method can achieve deep system decarbonization,which verifies its effectiveness.关键词
碳减排/电力市场/古诺博弈/低碳经济Key words
carbon reduction/electricity market/Cournot game/low-carbon economy引用本文复制引用
翁格平,崔林宁,江涵,任娇蓉,韩寅峰,陈晗文..考虑碳排放影响的长期发电投资决策方法[J].中国电力,2026,59(4):94-104,11.基金项目
This work is supported by Science and Technology Project of SGCC(Research and Application of Key Technologies for Automatic Graphic Construction of Model and Data-Driven Power Grid Dispatch Control System,No.5211NB23000U). 国家电网有限公司科技项目(模型与数据驱动的电网调度控制系统图形自动构建关键技术研究与应用,5211NB23000U). （Research and Application of Key Technologies for Automatic Graphic Construction of Model and Data-Driven Power Grid Dispatch Control System,No.5211NB23000U）
