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基于主从博弈的压缩空气储能热电市场竞标策略

ZHENG Yuanze ZHAO Yunsong CUI Sen TAN Xueying LIU Hanchen CHEN Laijun MEI Shengwei

分布式能源2025,Vol.10Issue(6):101-110,10.
分布式能源2025,Vol.10Issue(6):101-110,10.DOI:10.16513/j.2096-2185.DE.25100424

基于主从博弈的压缩空气储能热电市场竞标策略

Bidding Strategy for Compressed Air Energy Storage in Combined Heat and Power Market Based on Stackelberg Game

ZHENG Yuanze 1ZHAO Yunsong 2CUI Sen 3TAN Xueying 2LIU Hanchen 1CHEN Laijun 3MEI Shengwei1

作者信息

  • 1. Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China
  • 2. ChinaSalt Cavern Comprehensive Utilization Co.,Ltd.,Changzhou 213000,Jiangsu Province,China
  • 3. Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China||State Key Laboratory of Power System Operation and Control,Tsinghua University,Haidian District,Beijing 100084,China
  • 折叠

摘要

Abstract

The coupling of power and heating systems can promote renewable energy integration and improve the comprehensive efficiency of the energy system.Advanced adiabatic compressed air energy storage(AA-CAES)is a large-scale clean energy storage technology with the potential for multi-energy co-storage and supply,which can serve as an energy hub integrating power and heating systems.However,the current bidding mechanism for AA-CAES participating in electricity and heating markets as an independent entity remains unclear,and traditional modeling mostly adopts battery-like energy storage models,leading to difficulties in accurately measuring economic benefits.To address this,this paper proposes a leader-follower game-based bidding strategy for AA-CAES considering combined heat and power supply.Firstly,a combined heat and power mathematical model of AA-CAES is established by accounting for the operational characteristics of each component.Secondly,a single-leader-dual-followers leader-follower game framework is constructed,where the upper layer optimizes bidding parameters with the goal of maximizing AA-CAES's profit,and the lower layer achieves market clearing with the objective of maximizing social welfare.To solve the challenge of solving the bi-level nonlinear model,the Karush-Kuhn-Tucker(KKT)optimality conditions and binary expansion linearization method are adopted to convert it into a single-level mixed-integer programming problem.Finally,case simulations show that AA-CAES's profit from participating in both markets increases by 30.6%compared with participating only in the electricity market.The parameters of its own components have a significant impact on profits—especially a 10%improvement in the isentropic efficiency of the turbine can increase total profits by 28%.This study provides key references for the market operation and parameter optimization of AA-CAES.

关键词

先进绝热压缩空气储能(AA-CAES)/主从博弈/电力市场/区域供热网络/策略竞标

Key words

advanced adiabatic compressed air energy storage(AA-CAES)/Stackelberg game/electricity market/district heating network/strategic bidding

分类

能源科技

引用本文复制引用

ZHENG Yuanze,ZHAO Yunsong,CUI Sen,TAN Xueying,LIU Hanchen,CHEN Laijun,MEI Shengwei..基于主从博弈的压缩空气储能热电市场竞标策略[J].分布式能源,2025,10(6):101-110,10.

基金项目

国家自然科学基金项目(52407115) (52407115)

中国博士后科学基金项目(2025M770485)This work is supported by National Natural Science Foundation of China(52407115) (2025M770485)

China Postdoctoral Science Foundation(2025M770485) (2025M770485)

分布式能源

2096-2185

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