Application of Facts Technology to Power System Protection in the Nigerian 330kv Network Using Genetic Algorithm

Main Article Content

J. M ALOH
U. C OGBUEFI
V. C MADUEME

Abstract

This paper focused on Fault current limitation in the Nigerian 330kV Power Network. The strategy adopted is the use of a genetic algorithm to optimize the proportional integral (PI) control parameters of the Unified Power Flow Controllers (UPFC). Also, the SIMULINK model of the Nigerian 330kV system was developed. Then, the result from the simulation carried out proved the versatility of UPFC on fault current limitation in the power system when the PI parameter is optimized using genetic algorithm. This indicates that the UPFC achieved an effective average of 59.23% fault current limitation. The result is shown to have high impact for protection of critical assets within the power system such as circuit breakers. At a fault impedance of 0.0001Ω, the UPFC provided a 45.81% protection margin for the type of high voltage circuit breakers used in the 330kV system.

Article Details

How to Cite
[1]
J. M ALOH, U. C OGBUEFI, and V. C MADUEME, “Application of Facts Technology to Power System Protection in the Nigerian 330kv Network Using Genetic Algorithm”, Int. J. Comput. Eng. Res. Trends, vol. 4, no. 11, pp. 500–513, Nov. 2017.
Section
Research Articles

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