Improved of Load Frequency Control in a Three-Area Non-Reheat System Using Hybrid Fuzzy-PI Controller and PIDF based on Mountain Gazelle Optimizer

abdulsalam arif aloukili, Tarek Mahmoud Nasser, Salama ali Abuzaid, Mohammed Ahmed Mehanna

Abstract


Abstract- This research suggest a new load frequency control (LFC) system for a three-area non-reheat system. The system that is suggested employs a hybrid fuzzy-PI controller and Mountain Gazelle Optimizer (MGO), with  Integral Time Absolute Error ITAE serving as the objective function. The proposed controller's performance is compared with different techniques including PID based on MGO, PID-based on transet search optimizer TSO, PID-based on Pelican Optimization Algorithm POA, fuzzy-TSO, and fuzzy-POA. The proposed hybrid fuzzy-PI controller with MGO performs better than the other controllers in terms of reduced settling time, maximum overshoot, maximum undershoot of frequancy deveation, and ITAE, according to the results. The effectiveness of the proposed controller is further verified in various scenarios, including sudden changes in loads and the incorporation of renewable energy sources (RESs), such as wind turbines and solar panels, along with energy storage systems. Overall, the findings show that the suggested controller is a successful method for enhancing frequency stability in a three-area non-reheat power system under a variety of operating scenarios. Matlab 2020 was used in this work.


Keywords


Load Frequency Control (LFC); Mountain Gazelle Optimizer; renewable energy sources (RESs); energy storage (ES); Integral Time Absolute Error (ITAE).

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DOI (PDF): https://doi.org/10.20508/ijrer.v13i4.14242.g8841

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