{"title":"Contingency-Constrained Transmission Expansion Planning Considering a Representative Daily Demand Curve","authors":"J. Isai Garcia-Mercado, G. Gutiérrez-Alcaraz","doi":"10.1109/TDC-LA.2018.8511668","DOIUrl":null,"url":null,"abstract":"The Transmission Expansion Planning (TEP) problem determines the optimal investments for certain candidates’ transmission lines in an electric power system. The TEP problem considers and implements the N-1 security criterion in all periods of planning and operation. This paper introduces a novel approach to reduce the computation time and memory used when modeling the TEP problem considering the security criterion N-1. Several popular commercial solvers are used to evaluate the computational efficiency of the proposed TEP approach.","PeriodicalId":267301,"journal":{"name":"2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC-LA.2018.8511668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Transmission Expansion Planning (TEP) problem determines the optimal investments for certain candidates’ transmission lines in an electric power system. The TEP problem considers and implements the N-1 security criterion in all periods of planning and operation. This paper introduces a novel approach to reduce the computation time and memory used when modeling the TEP problem considering the security criterion N-1. Several popular commercial solvers are used to evaluate the computational efficiency of the proposed TEP approach.
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