Adaptive ADMM-based entire-process distributed restoration of transmission and distribution systems

Frontiers in Energy Research Pub Date : 2023-11-15 DOI:10.3389/fenrg.2023.1304945

Qingsheng Li, Changming Chen, Yongqing Zhu, Yunchu Wang, Chang Liu, Hongle Liang, Zhen Li, Zhaofeng Zhang, Li Yang

{"title":"Adaptive ADMM-based entire-process distributed restoration of transmission and distribution systems","authors":"Qingsheng Li, Changming Chen, Yongqing Zhu, Yunchu Wang, Chang Liu, Hongle Liang, Zhen Li, Zhaofeng Zhang, Li Yang","doi":"10.3389/fenrg.2023.1304945","DOIUrl":null,"url":null,"abstract":"In the event of a major power outage in the power systems, there is an urgent need to investigate entire-process coordinated restoration strategies for the transmission systems (TSs) and distribution systems (DSs), aiming to accelerate the restoration speed of generating units, network reconfiguration, and load restoration. Furthermore, it is imperative to address the multiple uncertainties that arise during the restoration process to mitigate potential security risks associated with the restoration. Hence, an adaptive ADMM-based entire-process distributed restoration method of TSs and DSs considering CVaR is proposed in this paper. Firstly, an entire-process distributed restoration model of TSs and DSs considering CVaR is proposed to maximize the total restoration benefits of TSs and DSs. Then, an adaptive ADMM-based distributed solving algorithm for the coordinated restoration model of the TSs and DSs is introduced, which incorporates adaptive penalty parameter adjustments, leading to faster convergence compared to the standard ADMM. Finally, case studies on an improved 179-bus transmission system are employed to verify that the proposed restoration method can achieve higher restoration benefits and faster convergence speed compared to existing restoration models.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Energy Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fenrg.2023.1304945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

In the event of a major power outage in the power systems, there is an urgent need to investigate entire-process coordinated restoration strategies for the transmission systems (TSs) and distribution systems (DSs), aiming to accelerate the restoration speed of generating units, network reconfiguration, and load restoration. Furthermore, it is imperative to address the multiple uncertainties that arise during the restoration process to mitigate potential security risks associated with the restoration. Hence, an adaptive ADMM-based entire-process distributed restoration method of TSs and DSs considering CVaR is proposed in this paper. Firstly, an entire-process distributed restoration model of TSs and DSs considering CVaR is proposed to maximize the total restoration benefits of TSs and DSs. Then, an adaptive ADMM-based distributed solving algorithm for the coordinated restoration model of the TSs and DSs is introduced, which incorporates adaptive penalty parameter adjustments, leading to faster convergence compared to the standard ADMM. Finally, case studies on an improved 179-bus transmission system are employed to verify that the proposed restoration method can achieve higher restoration benefits and faster convergence speed compared to existing restoration models.

查看原文本刊更多论文

基于自适应 ADMM 的输配电系统全过程分布式修复

在电力系统发生重大停电事故时，迫切需要研究输电系统（TS）和配电系统（DS）的全过程协调恢复策略，以加快发电机组、网络重组和负荷恢复的速度。此外，必须解决恢复过程中出现的多种不确定性，以降低与恢复相关的潜在安全风险。因此，本文提出了一种考虑到 CVaR 的基于 ADMM 的 TS 和 DS 全过程分布式自适应恢复方法。首先，提出了一种考虑 CVaR 的 TS 和 DS 全流程分布式修复模型，以最大化 TS 和 DS 的总修复效益。然后，针对 TS 和 DS 的协调修复模型，介绍了一种基于 ADMM 的自适应分布式求解算法，该算法包含自适应惩罚参数调整，与标准 ADMM 相比收敛速度更快。最后，通过对改进的 179 总线输电系统进行案例研究，验证了与现有的修复模型相比，所提出的修复方法可以实现更高的修复效益和更快的收敛速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Frontiers in Energy Research

自引率

0.00%

发文量