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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1534825
This article is part of the Research Topic Optimal Scheduling of Demand Response Resources In Energy Markets For High Trading Revenue and Low Carbon Emissions View all 31 articles

Distributed emergency control method for integrated energy system in industrial park based on alternating direction multiplier method

Provisionally accepted
Wenbin Li Wenbin Li 1*Lijing Jia Lijing Jia 1Baoyu Xu Baoyu Xu 1Rongfei Lu Rongfei Lu 1Yu Huang Yu Huang 2
  • 1 Guangdong Power Grid Energy Investment Co., Ltd, Guangzhou, China
  • 2 Chaozhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Chaozhou, China, Chaozhou, China

The final, formatted version of the article will be published soon.

    With the rapid development of integrated energy systems (IES), the extensive integration of distributed energy and the increasing coupling of multiple energy systems need higher requirements for the coordinated control methods of IESs. This paper proposes a distributed emergency control method for integrated energy systems of industrial parks based on the alternating direction multiplier method (ADMM). Firstly, an optimization scheduling model is established for the integrated energy system in industrial parks. On the basis of minimizing operating costs, the model takes into account the operational constraints of each energy equipment. Secondly, considering the shortage of energy supply, in order to achieve energy transfer between users, a distributed optimization scheduling model for IES of the industrial park is established based on the typical energy structure of users. And a distributed optimization scheduling algorithm for the comprehensive energy system of the industrial park based on ADMM is proposed. Finally, the proposed emergency control method is verified under typical fault scenarios.

    Keywords: integrated energy systems1, emergency control2, alternating direction multiplier method 3, distributed optimization scheduling4, energy transfer5

    Received: 26 Nov 2024; Accepted: 19 Dec 2024.

    Copyright: © 2024 Li, Jia, Xu, Lu and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Wenbin Li, Guangdong Power Grid Energy Investment Co., Ltd, Guangzhou, China

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