Fábio Luiz Usberti , José Federico Vizcaino González , Laura Silva de Assis , Celso Cavellucci
{"title":"A polynomial-time exact algorithm for the sectionalizing switch allocation problem","authors":"Fábio Luiz Usberti , José Federico Vizcaino González , Laura Silva de Assis , Celso Cavellucci","doi":"10.1016/j.epsr.2025.112016","DOIUrl":null,"url":null,"abstract":"<div><div>The allocation of switches in power distribution networks is a critical combinatorial optimization problem concerning reliability optimization. In this work, we consider a set of sectionalizing switches and a radial network, for which the objective is to find the best edges to allocate the switches to minimize the expected energy not supplied. An open question in the literature concerns the computational complexity of this fundamental problem, specifically, whether it is NP-hard. In this paper, we show that it is in fact tractable by presenting the first exact polynomial-time algorithm, based on dynamic programming. We compare our approach with previous state-of-the-art methodologies. Extensive computational experiments show that the proposed dynamic programming scales much better than the previous approach. Large instances, with more than three thousand nodes, are solved for the first time for any number of switches.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"249 ","pages":"Article 112016"},"PeriodicalIF":3.3000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625006078","RegionNum":3,"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
The allocation of switches in power distribution networks is a critical combinatorial optimization problem concerning reliability optimization. In this work, we consider a set of sectionalizing switches and a radial network, for which the objective is to find the best edges to allocate the switches to minimize the expected energy not supplied. An open question in the literature concerns the computational complexity of this fundamental problem, specifically, whether it is NP-hard. In this paper, we show that it is in fact tractable by presenting the first exact polynomial-time algorithm, based on dynamic programming. We compare our approach with previous state-of-the-art methodologies. Extensive computational experiments show that the proposed dynamic programming scales much better than the previous approach. Large instances, with more than three thousand nodes, are solved for the first time for any number of switches.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.