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
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