TY - GEN
T1 - Power System Stabilizer Tuning Improvement for Single-Machine Infinite Bus using Equilibrium Optimizer Algorithm
AU - Prakasa, Mohamad Almas
AU - Robandi, Imam
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The Power system stabilizers (PSS) play a vital role in damping low-frequency oscillations to improve the dynamic stability of the power system. PSS parameters need to be tuned using a robust method to get better dynamic stability. In the current trend, the metaheuristic algorithm is widely used for solving power system problems including PSS tuning cases. This paper implemented a recent novel algorithm, the Equilibrium optimizer Algorithm (EOA), to find the optimal tuning PSS parameters by minimizing the performance indices, Integral Time Absolute Error (ITAE), as an objective function. A linearized Heffron-Phillips model is used to conduct the Single-Machine Infinite Bus (SMIB) system in Simulink/MATLAB. The EOA optimization result is consistent for 10 independent runs with 100 iterations. The EOA also has a good convergence curve since not stuck in local optima. The simulation results have shown the EOA-based PSS can significantly reduce overshoot and settling time both on speed deviation and power angle deviation.
AB - The Power system stabilizers (PSS) play a vital role in damping low-frequency oscillations to improve the dynamic stability of the power system. PSS parameters need to be tuned using a robust method to get better dynamic stability. In the current trend, the metaheuristic algorithm is widely used for solving power system problems including PSS tuning cases. This paper implemented a recent novel algorithm, the Equilibrium optimizer Algorithm (EOA), to find the optimal tuning PSS parameters by minimizing the performance indices, Integral Time Absolute Error (ITAE), as an objective function. A linearized Heffron-Phillips model is used to conduct the Single-Machine Infinite Bus (SMIB) system in Simulink/MATLAB. The EOA optimization result is consistent for 10 independent runs with 100 iterations. The EOA also has a good convergence curve since not stuck in local optima. The simulation results have shown the EOA-based PSS can significantly reduce overshoot and settling time both on speed deviation and power angle deviation.
KW - Dynamic Stability
KW - Equilibrium Optimizer Algorithm
KW - Heffron-Phillips SMIB
KW - Power System Stabilizer
UR - http://www.scopus.com/inward/record.url?scp=85137919787&partnerID=8YFLogxK
U2 - 10.1109/ISITIA56226.2022.9855203
DO - 10.1109/ISITIA56226.2022.9855203
M3 - Conference contribution
AN - SCOPUS:85137919787
T3 - 2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
SP - 320
EP - 325
BT - 2022 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Y2 - 20 July 2022 through 21 July 2022
ER -