Distributed Low-carbon Economic Scheduling of Integrated Electricity and Gas System Based on Gas Network Division

被引:0
作者
Lin Y. [1 ]
Shao Z. [1 ]
Chen F. [1 ]
Chen Y. [1 ]
Deng H. [2 ]
机构
[1] Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fujian Province, Fuzhou
[2] Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangdong Province, Guangzhou
来源
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 07期
基金
中国国家自然科学基金;
关键词
alternating direction method of multipliers; carbon capture; dynamic characteristics; gas network division; integrated electric-gas system;
D O I
10.13335/j.1000-3673.pst.2022.1919
中图分类号
学科分类号
摘要
The integrated electricity-gas system (IEGS) is considered as an important carrier to promote the new energy consumption and achieve the goal of carbon peaking and carbon neutrality. To protect the privacy of the electricity and gas networks, and tackle the problem of the inefficient solution process of the IEGS economic scheduling model caused by the dynamic characteristics of the gas network, a distributed low-carbon economic scheduling method of the IEGS based on the gas network division is proposed. Firstly, the dynamic characteristics of the gas network, the carbon capture power plants emission reduction capacity and the carbon absorption of the power to the gas devices are considered to establish the IEGS low-carbon economic scheduling model; secondly, the electricity and gas networks are decoupled according to the boundary connection relationship of the IEGS; thirdly, the gas network is divided and decoupled based on the Louvain algorithm and the node tearing, and the consensus-based alternating direction method of multipliers is used to solve the subregion optimization problems of the IEGS in parallel; finally, the joint system of the modified IEEE39 node electricity network and the Belgium 20 node gas network is simulated, which proves that the proposed method is able to improve the computational efficiency, realize the decentralized autonomy of the electricity and gas networks, and reduce the carbon emissions effectively. © 2023 Power System Technology Press. All rights reserved.
引用
收藏
页码:2639 / 2650
页数:11
相关论文
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