Resumo

RUIZ, Hugo Andrés; TORO, Eliana Mirledy  e  GALLEGO, Ramón Alfonso. EFFICIENT IDENTIFICATION OF ERRORS IN STATE ESTIMATION THROUGH A SPECIALIZED GENETIC ALGORITHM. Rev.EIA.Esc.Ing.Antioq [online]. 2012, n.17, pp.9-19. ISSN 1794-1237.

In this paper a method to solve the state estimation problem in electric systems applying combinatorial optimization is presented. Its objective is the study of measures with difficult detection errors, which affect the performance and quality of the results when a classic state estimator is used. Due to the mathematical complexity, sensibility indicators are deduced from the theory of leverage points used in the Chu-Beasley optimization algorithm with the purpose of reducing the computational effort and enhance the quality of the results. The proposed method is validated in a 30-node IEEE system.

Palavras-chave : multiple interacting bad data; state estimation; Chu-Beasley genetic algorithm; leverage points.

        · resumo em Português | Espanhol     · texto em Espanhol     · Espanhol ( pdf )