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dc.creatorCorrea,Carlos Adrián
dc.creatorBolaños,Ricardo
dc.creatorEscobar,Antonio
dc.date2014-04-01
dc.date.accessioned2019-04-24T21:28:35Z
dc.date.available2019-04-24T21:28:35Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-33052014000200004
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/58968
dc.descriptionThis paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to multiple power flow patterns, as a result of the competitive environment in power systems. In this work, the different flow patterns are taken into account, in order to avoid future congestion of the transmission network and thus avoiding future load shedding. The solution to this problem is obtained by a specialized Chu-Beasley Genetic Algorithm (CBGA) which includes a new initialization strategy using non-linear interior point. A diversification stage is also included to spread the solutions in the search space and increase convergence capability. Generation and demand uncertainty are also considered in the mathematical model by allowing variations within a given range. This formulation allows for an important decrease in the cost of the expansion plans when compared to the traditional models with fixed generation and demand. Expansion plans for the 6-bus Garver system and the IEEE-24 bus system are found with this methodology, obtaining zero load shedding under any future generation scenario.
dc.formattext/html
dc.languageen
dc.publisherUniversidad de Tarapacá.
dc.relation10.4067/S0718-33052014000200004
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceIngeniare. Revista chilena de ingeniería v.22 n.2 2014
dc.subjectTransmission planning
dc.subjectgeneration scenarios
dc.subjectuncertainty
dc.subjectoptimization
dc.subjectinterior point
dc.titleTransmission expansion planning considering multiple generation scenarios and demand uncertainty


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