Skip to main content

ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1496247
This article is part of the Research Topic Enhancing Resilience in Smart Grids: Cyber-Physical Systems Security, Simulations, and Adaptive Defense Strategies View all 20 articles

Flexible-resource coordination supply recovery of active distribution network considering multiple demand responses

Provisionally accepted
Chen Bingbing Chen Bingbing *liu Jiateng liu Jiateng Wu Haotian Wu Haotian Wang Haiwei Wang Haiwei Chen Yunfan Chen Yunfan
  • State grid Nanjing Jiangbei new area power supply company, Nanjing, China

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

    As the risk of extreme fault conditions to power supply reliability escalates, the importance of supply recovery within active distribution networks (ADNs) is exponentially increasing. However, the utilization of a single resource strategy is insufficient to fully exploit the supply recovery potential of the ADN's diverse and flexible resources. Therefore, a flexible resource coordination supply recovery for ADN considering multiple demand responses is proposed. This strategy utilizes distributed generation (DG) and energy storage system (ESS) as distributed power supply units, and involves the operational flexibility of soft open points (SOPs) to couple DGs with ESSs. Meanwhile, the demand response consisting of transferable and interruptible loads is taken into account, with its load regulation capability harnessed to supply recovery. A supply recovery model is established to coordinate the flexibility of source, network, and demand sides, which is further transformed into a second-order cone programming (SOCP) model to enhance solution efficiency with accuracy preservation. Simulations conducted on a modified IEEE 33-node system validate the effectiveness of the proposed strategy in maximizing supply recovery.

    Keywords: supply recovery, distributed generation, energy storage system, multiple demand response, Soft Open Point, flexible-resource collaboration

    Received: 14 Sep 2024; Accepted: 09 Dec 2024.

    Copyright: © 2024 Bingbing, Jiateng, Haotian, Haiwei and Yunfan. 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: Chen Bingbing, State grid Nanjing Jiangbei new area power supply company, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.