Title :
Analysis of Distributed Generation Impact on the Optimal Location of Voltage Sag Monitors by Applying Genetic Algorithms
Author :
Espinosa-Juárez, Elisa ; Lucio, Jorge ; Hernández, Araceli
Author_Institution :
Electr. Eng. Fac., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
Abstract :
In this paper, the impact of distributed generation on the optimal location of measurement equipment to detect voltage sags in a power system is analyzed. An analytical method is used to formulate the optimization problem, which guarantees the coverage of the whole system. The application of genetic algorithms is proposed to solve the problem of optimal location of measurement equipment to detect voltage sags in a power system. The methodology is implemented by using genetic algorithms routines from the Matlabreg Genetic Algorithm and Direct Search Toolboxtrade. Several case studies are showed in IEEE-24 bus Reliability Test System (RTS) and in the IEEE 57-bus Test System.
Keywords :
distributed power generation; genetic algorithms; power supply quality; power system measurement; distributed generation system; genetic algorithm; measurement equipment; optimization; power system; voltage sag monitoring; Algorithm design and analysis; Distributed control; Genetic algorithms; Power measurement; Power quality; Power system analysis computing; Power system measurements; Power system reliability; System testing; Voltage fluctuations; Power Quality; genetic algorithms; optimal location; voltage sags (dips);
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
Conference_Location :
Cuernavaca, Morelos
Print_ISBN :
978-0-7695-3799-3
DOI :
10.1109/CERMA.2009.75