Indirect Adaptive Polynomial Wavelet-Based Neuro-Fuzzy Controller for STATCOM-Equipped Power Systems

Indirect Adaptive Polynomial Wavelet-Based Neuro-Fuzzy Controller for STATCOM-Equipped Power Systems

<p dir="ltr">Modern power systems face growing stability challenges due to rising network complexity and dynamic operating conditions. Traditional control mechanisms often struggle to effectively mitigate Low-Frequency Oscillations (LFOs), underscoring the need for more advanced and...

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Bibliographic Details
Main Author: Farman Ullah Jan (22278835) (author)
Other Authors: Rabiah Badar (5090327) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Akie Uehara (22278838) (author), Tomonobu Senjyu (12757166) (author), Adnan Akhunzada (20151648) (author)
Published: 2025
Subjects:
Engineering
Control engineering, mechatronics and robotics
Electrical engineering
Information and computing sciences
Artificial intelligence
Machine learning
Power systems
Power system stability
Low-frequency oscillation damping
Static syn?chronous compensator (STATCOM)
Indirect adaptive control
Neuro-fuzzy control
Polynomial wavelet neural network (PWNN)
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