Feeder Automation Deployment Optimization for Resilience Reinforcement of Distribution Networks

IF 3.8 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Power Delivery Pub Date : 2025-02-19 DOI:10.1109/TPWRD.2025.3537136

Yaqi Sun;Wenchuan Wu

{"title":"Feeder Automation Deployment Optimization for Resilience Reinforcement of Distribution Networks","authors":"Yaqi Sun;Wenchuan Wu","doi":"10.1109/TPWRD.2025.3537136","DOIUrl":null,"url":null,"abstract":"To enhance system resilience and accelerate outage load restoration, local feeder automation is widely deployed in distribution networks with locally automated devices. By presetting action logics, these automated devices can quickly isolate faults and restore outage loads. In order to meet resilience requirements, the non-automated distribution network should be upgraded to a partially-automated one due to limited budget. Conventionally, such resilience reinforcement plan is designed based on engineers’ experience. In this paper, we propose an optimization model for optimally upgrading manually operated switchable equipment to automatically operated one by local feeder automation in distribution networks, in which the predefined resilience indices for networks are explicitly expressed as constraints. The control logics and coordinated operations of feeder automation equipment are analytically formulated. Finally, the proposed model is formulated as the mixed-integer linear programming (MILP) and can be effectively solved. Case studies on an 8-section illustrative system and a 54-node system show the effectiveness of the presented models.","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 2","pages":"927-937"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Power Delivery","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10893691/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

To enhance system resilience and accelerate outage load restoration, local feeder automation is widely deployed in distribution networks with locally automated devices. By presetting action logics, these automated devices can quickly isolate faults and restore outage loads. In order to meet resilience requirements, the non-automated distribution network should be upgraded to a partially-automated one due to limited budget. Conventionally, such resilience reinforcement plan is designed based on engineers’ experience. In this paper, we propose an optimization model for optimally upgrading manually operated switchable equipment to automatically operated one by local feeder automation in distribution networks, in which the predefined resilience indices for networks are explicitly expressed as constraints. The control logics and coordinated operations of feeder automation equipment are analytically formulated. Finally, the proposed model is formulated as the mixed-integer linear programming (MILP) and can be effectively solved. Case studies on an 8-section illustrative system and a 54-node system show the effectiveness of the presented models.

查看原文本刊更多论文

配电网弹性增强的馈线自动化部署优化

为了提高配电系统的弹性，加快停电负荷的恢复，配电网广泛采用局部馈线自动化设备。通过预置动作逻辑，这些自动化设备可以快速隔离故障并恢复停机负载。为了满足弹性要求，由于预算有限，非自动化配电网必须升级为部分自动化配电网。通常，这种弹性加固方案是根据工程师的经验设计的。本文提出了一种配电网局部馈线自动化将人工操作可切换设备最优升级为自动操作可切换设备的优化模型，其中网络的预定义弹性指标明确表示为约束条件。分析了给料机自动化设备的控制逻辑和协调运行。最后，将所提出的模型表述为混合整数线性规划（MILP），并能有效求解。通过8段图解系统和54节点系统的实例分析，验证了所提模型的有效性。

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

IEEE Transactions on Power Delivery 工程技术-工程：电子与电气

CiteScore

9.00

自引率

13.60%

发文量

513

审稿时长

6 months

期刊介绍： The scope of the Society embraces planning, research, development, design, application, construction, installation and operation of apparatus, equipment, structures, materials and systems for the safe, reliable and economic generation, transmission, distribution, conversion, measurement and control of electric energy. It includes the developing of engineering standards, the providing of information and instruction to the public and to legislators, as well as technical scientific, literary, educational and other activities that contribute to the electric power discipline or utilize the techniques or products within this discipline.