Multiobjective Metaheuristics Optimization in Reactive Power Compensation

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.