Multi-objective transmission expansion planning considering uncertainty in wind power and demand

dc.creatorCorrea-Florez, Carlos Adrian
dc.creatorSánchez Salcedo, Alejandro
dc.creatorPanesso, Andrés Felipe
dc.date2017-01-04T08:00:00Z
dc.date.accessioned2022-10-13T13:36:31Z
dc.date.available2022-10-13T13:36:31Z
dc.identifierhttps://ciencia.lasalle.edu.co/scopus_unisalle/311
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4157755
dc.descriptionThis paper presents a multi-objective methodology for the Transmission Expansion Planning (TEP) problem when uncertainty in demand and large wind generation is considered. The proposed scheme is based on Reduced Scenario Methodology (RSM) to represent the uncertainty set. An enhanced NSGA-II multi-objective algorithm is used to minimize expansion costs and wind power curtailment, so that a set of Pareto optimal expansion plans are obtained. The performance of the expansion plans is evaluated and compared with previous work to demonstrate the robustness of the proposed approach. Test are carried out on Garver and the IEEE 24-bus RTS systems.
dc.source2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016
dc.subjectMulti-objective optimization
dc.subjectRobust expansion plans
dc.subjectTransmission planning
dc.subjectUncertainty
dc.subjectWind generation
dc.titleMulti-objective transmission expansion planning considering uncertainty in wind power and demand
dc.typeConference Proceeding


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