Universiti Teknologi Malaysia Institutional Repository

Power system controlled islanding using modified discrete optimization techniques

Saharuddin, N. Z. and Abidin, I. Z. and Mokhlis, H. and Hassan, M. Y (2021) Power system controlled islanding using modified discrete optimization techniques. International Journal of Advanced Computer Science and Applications(IJACSA), 12 (7). pp. 487-492. ISSN 2158-107X


Official URL: http://dx.doi.org/10.14569/IJACSA.2021.0120756


Controlled islanding is implemented to save the power system from experiencing blackouts during severe sequence line tripping. The power system is partitioned into several stand-alone islands by removing the optimal transmission line during controlled islanding execution. Since selecting the optimal transmission lines to be removed (cutsets) is important in this action, a good technique is required in order to determine the optimal islanding solution (lines to be removed). Thus, this paper developed two techniques, namely Modified Discrete Evolutionary Programming (MDEP) and Modified Discrete Particle Swarm Optimization (MDPSO) to determine the optimal islanding solution for controlled islanding implementation. The best technique among these two which is based on their capability of producing the optimal islanding solution with minimal objective function (minimal power flow disruption) will be selected to implement the controlled islanding. The performance of these techniques is evaluated through case studies using the IEEE 118-bus test system. The results show that the MDEP technique produces the best optimal islanding solution compared to the MDPSO and other previously published techniques.

Item Type:Article
Uncontrolled Keywords:modified discrete evolutionary programming (MDEP) technique, modified discrete particle swarm optimization (MDPSO) technique, minimal power flow disruption
Subjects:T Technology > TE Highway engineering. Roads and pavements
Divisions:Electrical Engineering
ID Code:95316
Deposited By: Narimah Nawil
Deposited On:29 Apr 2022 22:03
Last Modified:29 Apr 2022 22:03

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