Enhanced RSA Optimized TID Controller for Frequency Stabilization in a Two-Area Power System
International Journal of Robotics and Control Systems, vol.4, no.4, pp.1886-1902, 2024 (Scopus)
- Publication Type: Article / Article
- Volume: 4 Issue: 4
- Publication Date: 2024
- Doi Number: 10.31763/ijrcs.v4i4.1644
- Journal Name: International Journal of Robotics and Control Systems
- Journal Indexes: Scopus
- Page Numbers: pp.1886-1902
- Keywords: Load Frequency Control, Logarithmic Spiral Search, Lévy Flight Search, Optimization Techniques, Renewable Energy, Reptile Search Algorithm, Tilt-Integral-Derivative Controller
- Open Archive Collection: AVESIS Open Access Collection
- Bursa Uludag University Affiliated: Yes
Abstract
This 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.