Interactive methods efficiency analysis of multicriteria optimization of electric energy systems static operating modes

Abstract

Genetic algorithm (GA) is widely used in the electric energy systems. GA can serve to find solution of optimization problem with the reasonable time and resources. GA is defined with parameters and selection criteria. The dispatcher receives the results of the optimization with using GA for the subsequent analysis and using in electric energy system. In recent years the mathematicians achieved the acceleration of algorithm work using interactive methods. The possibility of using interactive methods for the electric energy systems is the task of this work. In this paper, we study complication of GA, compare use of interactive methods and GA, analyze advantages and shortcomings of interactive methods. Results show that we can successfully use the weighed Tchebyshev's metrics and PBI for problems of optimization electric energy systems static operating modes.