AI-Based Design of Robust PSS Guided by D-Decomposition

This paper aims to design an effective Power System Stabilizer (PSS) to enhance the rotor angle stability of a Single Machine Infinite Bus bar system (SMIB) using a D-Decomposition approach. Also, the system robustness under uncertainties is investigated in this paper. An advanced optimization algor...

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Vydáno v:Power System Conference, MEPCON, International Middle-East s. 1 - 6
Hlavní autoři: Fathy, M., Keshta, H. E., Ali, Mahmoud N., Soliman, M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 17.12.2024
Témata:
Convergence
D-Decomposition
Hermite-Biehler theorem
Indexes
Metaheuristics
Oscillators
Performance analysis
Power system stability
PSS
Robustness
rotor angle stability synchronous machine
Rotors
SMIB
Stability criteria
Uncertainty
ISSN:2573-3044
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Shrnutí:This paper aims to design an effective Power System Stabilizer (PSS) to enhance the rotor angle stability of a Single Machine Infinite Bus bar system (SMIB) using a D-Decomposition approach. Also, the system robustness under uncertainties is investigated in this paper. An advanced optimization algorithm, called Manta-ray Foraging Optimization (MRFO), is proposed to compute the optimum parameters of lead-lag compensator based PSS considering the system nonlinearities. The proposed design based on MRFO algorithm is compared to the design optimized using another meta-heuristic algorithm to emphasize the superiority of the proposed algorithm using Integral Time Absolute Error (ITAE) as a performance index. Robustness test based on Hermite-Biehler theorem showed that system is stable subject to parametric uncertainties.
ISSN:2573-3044
DOI:10.1109/MEPCON63025.2024.10850265