DocumentCode :
2671086
Title :
Fault Location and Voltage Estimation in Transmission Systems by Evolutionary Algorithms
Author :
Guerra, W. ; Kagan, N.
Author_Institution :
Dept. of Electr. Eng., Univ. of Sao Paulo, Sao Carlos, Brazil
fYear :
2009
fDate :
8-12 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper aims at presenting the development and implementation of an approach to deal with fault location in transmission systems by Evolutionary Algorithms. The algorithm allows for the estimation of voltage sags and swells in non-monitored buses as well. An Evolutionary Strategy was applied to address the optimization problem, from the generation of a population of individuals that represent possible solutions to the problem to the evolutionary operators such as selection, mutation and crossover. Some variants of the basic approach were also considered in such a way to determine the fault location with better performance. A case study, based on the 30 bus IEEE study system, demonstrates the potential of the proposed methodology.
Keywords :
evolutionary computation; fault location; fault simulation; power supply quality; power transmission faults; 30 bus IEEE study system; evolutionary algorithms; fault location; nonmonitored bus; transmission system; voltage estimation; voltage sag estimation; Circuit faults; Evolutionary computation; Fault location; Genetic algorithms; Genetic mutations; Impedance; Power quality; Power system faults; Quality of service; Voltage; Evolutionary Algorithms; Evolutionary Strategies; Fault Location; Optimization; State Estimation; Voltage Sags and Swells; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
Type :
conf
DOI :
10.1109/ISAP.2009.5352871
Filename :
5352871
Link To Document :
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