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Multiobjective Metaheuristics Optimization in Reactive Power Compensation

Mostrar el registro sencillo del ítem González Palau, Ileana A. Marrero Ramírez, Secundino Legrá Lobaina, Arístides Alejandro Mendiola Ellis, Daniel 2018-12-11T19:31:09Z 2018-12-11T19:31:09Z 2018
dc.identifier.issn 2224-350X
dc.description.abstract An efficient operation requires delimitation or optimization methods for the improvement of technical - economic indicators to achieve energy efficiency in industrial networks. This article proposes a multiobjective metaheuristic optimization using the metric of Tchebycheff in the objective function for the reactive power compensation, based on the modification of the variable integration method. An evolutionary algorithm is used to generate the initial population to achieve efficient solutions. To improve the solutions, refining algorithms are employed using random search conditions with flexible stopping criteria. The general algorithm was tested with satisfactory results in theoretical and real case studies. es_ES
dc.language.iso es es_ES
dc.relation.ispartofseries Volume 13;
dc.subject Compensación reactiva de potencia es_ES
dc.subject Algoritmos evolutivos es_ES
dc.subject Algoritmos genéticos es_ES
dc.subject Optimización multi-objetivo es_ES
dc.subject Armónico es_ES
dc.subject Distancia Tchebycheff es_ES
dc.title Multiobjective Metaheuristics Optimization in Reactive Power Compensation es_ES
dc.type Artículo es_ES

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