dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:46:08Z
dc.date.accessioned2022-12-20T01:27:47Z
dc.date.available2022-04-28T19:46:08Z
dc.date.available2022-12-20T01:27:47Z
dc.date.created2022-04-28T19:46:08Z
dc.date.issued2021-09-15
dc.identifier2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021.
dc.identifierhttp://hdl.handle.net/11449/222696
dc.identifier10.1109/ISGTLatinAmerica52371.2021.9543072
dc.identifier2-s2.0-85117570794
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5402826
dc.description.abstractDistributed generation (DG) has been increasing the electricity generation capacity around the world, becoming an area of great interest. DG benefits the distribution system by reducing losses and improving the energy quality and reliability of the system, in addition to the greenhouse gases reduction. The problem of dimensioning and allocating DGs is important since their installation in nonoptimal places can result in increased system losses and operation costs. This article presents a method for optimal allocation and dimensioning of DGs to reduce total losses in the power distribution feeders. The solution technique uses the greedy randomized adaptive search procedure together (GRASP) with tabu search. Results under a real-world distribution system shows the efficiency of the proposed methodology.
dc.languageeng
dc.relation2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
dc.sourceScopus
dc.subjectDistributed Generation Allocation
dc.subjectDistribution Systems
dc.subjectGRASP and Tabu Search metaheuristic
dc.titleAllocation of distributed generation to minimize losses in the distribution power system
dc.typeActas de congresos


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