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考虑需求侧资源参与的区域综合能源系统低碳协同调度

陈磊 戎士敏 王聪 王荟敬 徐俊俊 吴巨爱 张腾飞

电力建设2024,Vol.45Issue(12):54-64,11.
电力建设2024,Vol.45Issue(12):54-64,11.DOI:10.12204/j.issn.1000-7229.2024.12.005

考虑需求侧资源参与的区域综合能源系统低碳协同调度

Low-Carbon Co-dispatch of Integrated Regional Energy Systems Considering Demand Side Resource Participation

陈磊 1戎士敏 1王聪 1王荟敬 1徐俊俊 2吴巨爱 2张腾飞2

作者信息

  • 1. 国网河北省电力有限公司石家庄供电分公司,石家庄市 050000
  • 2. 南京邮电大学自动化学院/人工智能学院,南京市 210023
  • 折叠

摘要

Abstract

To address the limitations of the centralized optimal scheduling method of regional integrated energy systems(RIES),which do not account for the interests of energy suppliers and users,a low-carbon economic scheduling model for RIES based on a multi-agent game is proposed,considering energy balance and operation constraints of various equipment.First,the energy system operator(ESO)assumes the role of the leader,establishing internal pricing within the cluster to maximize revenue.Each RIES at the lower level responds to these prices,establishing a master-slave game model aimed at minimizing operating costs.Second,the constraints of power,fuel,maintenance,and carbon trading costs are fully considered,with a carbon trading mechanism introduced into the market to limit carbon dioxide emissions.A differential evolution(DE)algorithm is applied to continuously adjust the strategy to approach the game equilibrium.Finally,a multi-agent game for the integrated energy system comprising three systems is used for low-carbon economic scheduling analysis.The case study shows that,with the incentive of the game mechanism,it is possible to optimize the output of distributed energy devices,thus achieving coordinated cluster optimization while balancing the interests of multi-agents.

关键词

区域综合能源系统(RIES)/需求侧资源/集群优化/低碳协同调度/碳排放

Key words

integrated regional energy system(RIES)/demand side resources/cluster optimization/low-carbon co-dispatch/carbon emissions

分类

信息技术与安全科学

引用本文复制引用

陈磊,戎士敏,王聪,王荟敬,徐俊俊,吴巨爱,张腾飞..考虑需求侧资源参与的区域综合能源系统低碳协同调度[J].电力建设,2024,45(12):54-64,11.

基金项目

This work is supported by National Natural Science Foundation of China(No.62073173)and the Science and Technology Project of State Grid Corporation of China(No.5108-202218280A-2-427-XG). 国家自然科学基金项目(62073173) (No.62073173)

国家电网有限公司科技项目(5108-202218280A-2-427-XG) (5108-202218280A-2-427-XG)

电力建设

OA北大核心CSTPCD

1000-7229

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