Improving Voltage Stability in Transmission Network using Facts Devices and Artificial Intelligence

The constant power failure in our transmission network that has crippled business activities for those that solely depend on power for their daily routine businesses is caused by voltage instability. This is squarely overcome by introducing improving voltage stability in transmission network using facts devices and artificial intelligence. To achieve this perfectly well, it was done in this manner, characterizing voltage stability in transmission network, running a load flow analysis of the characterized 330kV transmission network to identify the faulty buses that causes voltage instability, training ANN in the fault buses for stabilization, designing a SIMULINK model for facts devices, developing an algorithm that will implement the process, designing a SIMULINK model for improving voltage stability in transmission network using facts devices and artificial intelligence and validating and justifying percentage improvement in voltage stability of the transmission network with and without using facts devices and artificial intelligence. The results obtained were, the conventional voltage of faulty bus 25 that caused intermittent power supply in the transmission network was 0.947P.U.V. meanwhile, when FACTS DEVICES and artificial intelligence were inculcated in the system, it instantaneously improved the voltage to1.042P.U.V thereby improving consistent power transmitted and the conventional voltage of faulty bus 30 was 0.919 P.U.V. on the other hand, when FACTS DEVICES and artificial intelligence was imbibed in the system, it automatically stabilized the voltage of the faulty bus30 to1.011P.U.V. Finally, with these results obtained, it definitely shown that percentage in improvement of voltage stability in transmission network when FACTS DEVICES and artificial intelligence were integrated in the system was 10.01%.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-04
DOI
https://doi.org/10.5281/zenodo.14800539
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
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article

Improving Voltage Stability in Transmission Network using Facts Devices and Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Power Systems Fault Detection
article

Improving Voltage Stability in Transmission Network using Facts Devices and Artificial Intelligence

article en

Abstract

The constant power failure in our transmission network that has crippled business activities for those that solely depend on power for their daily routine businesses is caused by voltage instability. This is squarely overcome by introducing improving voltage stability in transmission network using facts devices and artificial intelligence. To achieve this perfectly well, it was done in this manner, characterizing voltage stability in transmission network, running a load flow analysis of the characterized 330kV transmission network to identify the faulty buses that causes voltage instability, training ANN in the fault buses for stabilization, designing a SIMULINK model for facts devices, developing an algorithm that will implement the process, designing a SIMULINK model for improving voltage stability in transmission network using facts devices and artificial intelligence and validating and justifying percentage improvement in voltage stability of the transmission network with and without using facts devices and artificial intelligence. The results obtained were, the conventional voltage of faulty bus 25 that caused intermittent power supply in the transmission network was 0.947P.U.V. meanwhile, when FACTS DEVICES and artificial intelligence were inculcated in the system, it instantaneously improved the voltage to1.042P.U.V thereby improving consistent power transmitted and the conventional voltage of faulty bus 30 was 0.919 P.U.V. on the other hand, when FACTS DEVICES and artificial intelligence was imbibed in the system, it automatically stabilized the voltage of the faulty bus30 to1.011P.U.V. Finally, with these results obtained, it definitely shown that percentage in improvement of voltage stability in transmission network when FACTS DEVICES and artificial intelligence were integrated in the system was 10.01%.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Power Systems Fault Detection
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Improving Voltage Stability in Transmission Network using Facts Devices and Artificial Intelligence · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS