UPM Institutional Repository

Farmland fertility optimization for designing of interconnected multi-machine power system stabilizer


Sabo, Aliyu and Abdul Wahab, Noor Izzri and Othman, Mohammad Lutfi and Mohd Jaffar, Mai Zurwatul Ahlam and Beiranvand, Hamzeh (2020) Farmland fertility optimization for designing of interconnected multi-machine power system stabilizer. Applications of Modelling and Simulation, 4. 183 - 201. ISSN 2600-8084


This study describes the process of interconnected multi-machine power system stabilizer (PSS) optimization using a new intelligent technique called farmland fertility algorithm (FFA) to increase the stability of IEEE three machine nine bus power system and offset the low-frequency oscillations (LFOs) during a symmetrical 100 ms three-phase fault at bus 9. The FFA-PSS controller performance is compared with two familiar classical techniques, i.e. Genetic Algorithm (GA-PSS) and Particle Swarm Optimization (PSO-PSS) to confirm the capability of the proposed technique to realize improved system stability enhancement. The Eigenvalue simulation results with FFA produce stable Eigenvalues that increase the damping ratio of the Electromechanical Modes (EMs) to more than 0.1 with smaller overshoots and time to settle which shows the effectiveness of the method for multi-machine stability improvement. Also, the phasor simulation results show that the transient responses of the system rise time, settling time, peak time and peak magnitude were all impressively improved by an acceptable amount for the interconnected system with the proposed FFA-PSS thus, was able to control the LFOs effectively and produces enhanced performance compared to the GA and PSO based PSS. Similarly, the result validates the effectiveness of the proposed FFA tuned PSS for LFO control which demonstrates robustness, efficiency, and convergence speed ability than the classical GA and PSO tuning methods.

Download File

[img] Text (Abstract)

Download (29kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Faculty of Science
Publisher: ARQII Publication
Keywords: Farmland fertility algorithm; Genetic algorithm; Low-frequency oscillation; Particle swarm optimization; Power system stabilizer
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 04 Oct 2021 21:44
Last Modified: 04 Oct 2021 21:44
URI: http://psasir.upm.edu.my/id/eprint/88998
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item