(2) Erdal Eker (Muş Alparslan University, Turkey)
(3) Davut Izci (1) Department of Computer Engineering, Batman University, Turkey. 2) Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan)
(4) Aseel Smerat (1) Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. 2) Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India)
(5) * Laith Abualigah (Al al Bayt University, Jordan)
*corresponding author
AbstractThis study presents an enhanced reptile search algorithm (ImRSA) optimized tilt-integral-derivative (TID) controller for load frequency control (LFC) in a two-area power system consisting of photovoltaic (PV) and thermal power units. The ImRSA integrates Lévy flight and logarithmic spiral search mechanisms to improve the balance between exploration and exploitation, resulting in more efficient optimization performance. The proposed controller is tested against the original reptile search algorithm (RSA) and other state-of-the-art optimization methods, such as modified grey wolf optimization with cuckoo search, black widow optimization, and gorilla troops optimization. Simulation results show that the ImRSA-optimized TID controller outperforms these approaches in terms of undershoot, overshoot, settling time, and the integral of time-weighted absolute error metric. Additionally, the ImRSA demonstrates robustness in managing frequency deviations caused by solar radiation fluctuations in PV systems. The results highlight the superior efficiency and reliability of the proposed method, especially for renewable energy integration in modern power systems. KeywordsLoad Frequency Control; Reptile Search Algorithm; Logarithmic Spiral Search; Lévy Flight Search; Tilt-Integral-Derivative Controller; Renewable Energy; Optimization Techniques
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DOIhttps://doi.org/10.31763/ijrcs.v4i4.1644 |
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