Title :
Implementation of Genetic Algorithms in ATP for Optimal Allocation and Sizing of Active Power Line Conditioners
Author :
Ramos, D. F Urrutia ; Cortes, J. ; Torres, H. ; Gallego, L.E. ; Delgadillo, A. ; Buitrago, L.
Author_Institution :
Res. Program of Acquisition & Anal. of Electromagn. Signals, Nat. Univ. of Colombia
Abstract :
In last years optimal allocation of active power line conditioner (APLC) at industrial facilities has become an important research subject. In this work the genetic algorithms (GA) are used to determine the allocation and sizing of APLCs. This methodology is implemented in ATP (alternative transients program), and particularly with its components called ATP models routines. The main topic of the paper is to illustrate the process used to achieve the implementation of GA with these components using ATP foreign functions. The structure of chromosome, the genetic operators and a novel concept of ATP models networks are described. The approach proposed is applied on an 11 bus test system, illustrating the minimization of voltage distortion at PCC (point coupling common) and the current harmonic injection of APLCs
Keywords :
genetic algorithms; power supply quality; power system harmonics; power transmission; ATP; active power line conditioners; alternative transients program; bus test system; current harmonic injection; genetic algorithms; optimal allocation; point coupling common; voltage distortion; Environmentally friendly manufacturing techniques; Genetic algorithms; Harmonic distortion; Industrial plants; Industrial pollution; Mathematical model; Power harmonic filters; Power quality; Power system modeling; Voltage; ATP foreign functions; ATP models; Active Power Line Conditioner; Computational Intelligence; Genetic Algorithms; Power Quality Solutions;
Conference_Titel :
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location :
Caracas
Print_ISBN :
1-4244-0287-5
Electronic_ISBN :
1-4244-0288-3
DOI :
10.1109/TDCLA.2006.311419