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含干热岩产能接入的IES低碳高效调度策略

LI Xianshan TANG Zhixuan WANG Qiujie LI Fei GUO Shishu

重庆理工大学学报2025,Vol.39Issue(23):236-244,9.
重庆理工大学学报2025,Vol.39Issue(23):236-244,9.DOI:10.3969/j.issn.1674-8425(z).2025.12.029

含干热岩产能接入的IES低碳高效调度策略

A low-carbon and efficient dispatching strategy for an IES with hot dry rock production capacity access

LI Xianshan 1TANG Zhixuan 1WANG Qiujie 1LI Fei 2GUO Shishu3

作者信息

  • 1. Hubei Provincial Key Laboratory of Operation and Control of Cascade Hydropower Stations(China Three Gorges University),Yichang 443002,China
  • 2. Hubei Provincial Key Laboratory of Operation and Control of Cascade Hydropower Stations(China Three Gorges University),Yichang 443002,China||State Key Laboratory of Water Resources Engineering and Management(Wuhan University),Wuhan 430072,China
  • 3. State Grid Hubei Electric Power Company Xianning Power Supply Company,Xianning 437000,China
  • 折叠

摘要

Abstract

Introducing Hot Dry Rock(HDR)capacity into Integrated Energy Systems(IES),and implementing an IES source-load collaborative emission reduction strategy featuring HDR capacity subsitution and energy-carbon demand response,thus obtaining certified voluntary emission reduction(CCER)benefits,can promote low-carbon and efficient operation of the joint system.However,key issues such as the design of effective incentives for source-load collaborative emission reduction need addressing to ensure fair allocation of implicit cooperative emission-reduction benefits.To this end,this paper introduces a collaborative emission-reduction incentive policy that allocates CCER benefits to both HDR and load agent(LA).It proposes an improved Shapley-value-based dynamic allocation method,which incorporates environmental-contribution indicators under an incentive-compatible mechanism.A bi-level game energy-carbon scheduling model for the joint system is built inserting dynamic allocation of CCER benefits,where the outer layer models HDR capacity-substitution decisions in a leader-follower(Stackelberg)game between HDR and IES,and the inner layer serves as the decision-making model for energy-carbon demand response of LA in the master-slave game between IES and LA.The inner and outer models iteratively alternate until multi-agent benefit equilibrium is achieved,realizing the collaborative optimization of source-load emission reduction strategies.Results show the proposed method markedly cuts carbon emissions in IES and the energy costs of LA,while increasing the operational benefits of HDR and IES.

关键词

综合能源系统/干热岩产能系统/核证自愿减排/能碳需求响应/源荷减排效益分配

Key words

IES/HDR productivity system/CCER/energy and carbon demand response/distribution of source-load emission reduction benefits

分类

信息技术与安全科学

引用本文复制引用

LI Xianshan,TANG Zhixuan,WANG Qiujie,LI Fei,GUO Shishu..含干热岩产能接入的IES低碳高效调度策略[J].重庆理工大学学报,2025,39(23):236-244,9.

基金项目

国家自然科学基金项目(52307109) (52307109)

重庆理工大学学报

OA北大核心

1674-8425

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