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Transient Stability Assessment of Nigerian 330kv Power Grid Using Modified Euler Technique
Subject area: Science,Engineering and Technology · Area of research: Electrical Engineering
Abstract
The study examined transient stability assessment of Nigeria 330kv power grid within Benin regional control centre. The dissertation investigated the impact of the three-phase fault created along Delta ? Benin transmission line. The critical clearing angle and time of circuit breaker were also determined using Artificial Neural Network (ANN) techniques. The network was modeled in Electrical transient analyzer program (ETAP 12.6) software and the swing equation was solved using modified Euler Method. The data obtained from simulation were used to train the artificial neural network in MATLAB using back propagation algorithm. Results show that the generating stations that were mostly affected during the fault were sapele generating station, Delta generating station and Ihovbor generating station with their corresponding bus voltages of 182.2kv, 170.5kv and 173.1kv respectively. Similarly, the load centres that were also affected by the fault were Aladja and Asaba transmission stations with their corresponding bus voltages of 171.9kv and 195.1kv respectively. The critical clearing angle is 77.220 degree both for modified Euler and artificial neural network and the critical clearing time of the circuit breaker is 0.200secconds for modified Euler method and 0.220seconds for artificial neural network. Based on this findings, it is concluded that transient stability study is important for proper planning and improvement of Nigeria national grid by Transmission Company Nigeria (TCN).
Keywords
Eular Technique, power grid, transient stability.
References
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How to cite this paper
@article{1703037,
author = {Nlerum, S. K., Braide, S.L, Amadi, H.N},
title = {Transient Stability Assessment of Nigerian 330kv Power Grid Using Modified Euler Technique},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {6},
pages = {101-109},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703037.pdf},
abstract = {The study examined transient stability assessment of Nigeria 330kv power grid within Benin regional control centre. The dissertation investigated the impact of the three-phase fault created along Delta ? Benin transmission line. The critical clearing angle and time of circuit breaker were also determined using Artificial Neural Network (ANN) techniques. The network was modeled in Electrical transient analyzer program (ETAP 12.6) software and the swing equation was solved using modified Euler Method. The data obtained from simulation were used to train the artificial neural network in MATLAB using back propagation algorithm. Results show that the generating stations that were mostly affected during the fault were sapele generating station, Delta generating station and Ihovbor generating station with their corresponding bus voltages of 182.2kv, 170.5kv and 173.1kv respectively. Similarly, the load centres that were also affected by the fault were Aladja and Asaba transmission stations with their corresponding bus voltages of 171.9kv and 195.1kv respectively. The critical clearing angle is 77.220 degree both for modified Euler and artificial neural network and the critical clearing time of the circuit breaker is 0.200secconds for modified Euler method and 0.220seconds for artificial neural network. Based on this findings, it is concluded that transient stability study is important for proper planning and improvement of Nigeria national grid by Transmission Company Nigeria (TCN).},
keywords = {Eular Technique, power grid, transient stability.},
month = {December},
}