Load flow analysis of 132kV transmission system using artificial bee colony algorithm

The objectives of this work is to develop aphase angle of load buses, the real and reactive powerflows in the transmission line. Also, to apply the toolstandard swarm intelligence model based on the ArtificialBee Colony (ABC) to determine the voltage magnitude,developed above in load flow studies of a power systemnetwork to investigate the effect of variants of the ABCon the performance of the load flow of a power system survey of the power station in the Ikeja West 132kv 35bus network with poor lines performance to enhance transmission station. The result and inference of this steady state. Network data will be obtained from field bothers on the 132kV Nigerian power system network in network with respect to the standard model. The research work is significant for the modification and control of the the efficiency and load ability of the network for future purposes using artificial bee colony algorithm.

Publication Details

Journal
Figshare
Published
2024-12-29
DOI
https://doi.org/10.6084/m9.figshare.25537543
Primary Topic
Optimal Power Flow Distribution
Type
article
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0.00
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article

Load flow analysis of 132kV transmission system using artificial bee colony algorithm

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Optimal Power Flow Distribution
article

Load flow analysis of 132kV transmission system using artificial bee colony algorithm

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Abstract

The objectives of this work is to develop aphase angle of load buses, the real and reactive powerflows in the transmission line. Also, to apply the toolstandard swarm intelligence model based on the ArtificialBee Colony (ABC) to determine the voltage magnitude,developed above in load flow studies of a power systemnetwork to investigate the effect of variants of the ABCon the performance of the load flow of a power system survey of the power station in the Ikeja West 132kv 35bus network with poor lines performance to enhance transmission station. The result and inference of this steady state. Network data will be obtained from field bothers on the 132kV Nigerian power system network in network with respect to the standard model. The research work is significant for the modification and control of the the efficiency and load ability of the network for future purposes using artificial bee colony algorithm.

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Openalex Percentile: Top 69%
Optimal Power Flow Distribution
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