Title :
Improvement of voltage sags indices by applying a reconfiguration technique based on genetic algorithms
Author :
Espinosa-Juarez, Elisa ; Lucio, J.
Author_Institution :
Electr. Eng. Fac., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
Abstract :
This paper presents an application of genetic algorithms to the improvement of voltage sags indices by reconfiguration of an electrical system. Considering known reference indices of voltage sags at system buses, the proposed methodology leads to a new configuration where the buses with previous indices of voltage sags outside the range of the reference values are reduced in order to minimize these values. In this paper, in order to streamline the solution process the Genetic Algorithm Matlab Toolbox® was used to solve the formulated optimization problem. The performance of the proposed methodology is assessed by means of case studies applied in the IEEE 24-bus Reliability Test System and in the IEEE 118-bus Test System.
Keywords :
genetic algorithms; power supply quality; power system reliability; IEEE 118-bus test system; IEEE 24-bus reliability test system; Matlab Toolbox; electrical system reconfiguration; formulated optimization problem; genetic algorithms; reference indices; reference values; system buses; voltage sags indices; Genetic algorithms; Power quality; Sociology; System buses; Threshold voltage; Topology; Voltage fluctuations; Voltage sags (dips); genetic algorithms; power quality; power system;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4673-2170-9
DOI :
10.1109/ICEEE.2012.6421139