This analysis demonstrates improved frequency control in multi-area power systems using a TID controller and HGS, suggesting superior performance over conventional methods.
This paper presents the intend of a Tilt Integral Derivative (TID) controller for addressing the Load Frequency Control (LFC) issue in a multi-area restructured electric power system. The recommended TID controller configurations are refined by means of a narrative methodology known as the Hunger Games Search (HGS) algorithm. A multi-area electric power system including different producing units is worn to assess the efficacy of the anticipated TID controller based on HGS. The effectiveness of HGS's optimization has been confirmed to surpass that of other prominent optimization techniques, such as the Slime Mould and Artificial Gorilla Troop algorithms. The simulation outcome demonstrates that the anticipated TID controller using HGS markedly improves system frequency constancy underneath diverse load interruption scenarios.
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Kumar et al. (2025) studied this question.
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