AC dynamic transmission expansion planning using a hybrid optimization algorithm

dc.creatorLopez Quizhpi, Julio Cesar
dc.creatorMatute, Nelson
dc.creatorTorres Contreras, Santiago Patricio
dc.creatorMorquecho, Edgar
dc.creatorFlores, Wilfredo
dc.creatorAstudillo Salinas, Darwin Fabian
dc.date.accessioned2021-01-24T04:48:53Z
dc.date.accessioned2022-10-21T00:34:15Z
dc.date.available2021-01-24T04:48:53Z
dc.date.available2022-10-21T00:34:15Z
dc.date.created2021-01-24T04:48:53Z
dc.date.issued2020
dc.identifier978-172817100-5
dc.identifier0000-0000
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/35518
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097331961&doi=10.1109%2fISGT-Europe47291.2020.9248898&partnerID=40&md5=0166586b15d41d728555d844b975a926
dc.identifier10.1109/ISGT-Europe47291.2020.9248898
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4625231
dc.description.abstractDynamic Transmission Expansion Planning (DTEP) seeks to answer where, how many, and when new infrastructure should be added to the electrical system. The goal is to allow a correct and efficient operation along the planning horizon. In this research work, a load shedding formulation extended for the multistage alternating current (AC) model with the co-optimization of shunt compensation is proposed. A novel hybrid meta-heuristic is used as optimization technique to solve the DTEP problem. Solutions were obtained from IEEE 24-bus test system. For comparative purposes, the problem was also solved using static (STEP) and quasi-dynamic (QTEP) approaches.
dc.languagees_ES
dc.publisherIEEE Computer Society
dc.sourceIEEE PES Innovative Smart Grid Technologies Conference Europe
dc.subjectAC model
dc.subjectDynamic planning
dc.subjectDifferential Evolution
dc.subjectMeta-heuristics
dc.subjectDynamic transmission expansion planning
dc.titleAC dynamic transmission expansion planning using a hybrid optimization algorithm
dc.typeARTÍCULO DE CONFERENCIA


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