Automatic Generation Control for a Two-Area Multi-Source Power System with Renewable Energy Using the Komodo Mlipir Algorithm

Abstract

This paper represents the use of the Komodo Mlipir Algorithm (KMA) optimization method for automatic generation control (AGC) of a two-area multi-source power system with renewable energy sources (thermal, gas, hydro, and wind). Its aim is to enhance the system's dynamic responses. The FO-PID controller is utilized to acquire KMA-optimized controller parameter values using the integral of time weighted absolute Error (ITAE) objective function to demonstrate the proposed approach. In accordance with the system dynamic response, the FO-PID controller surpasses the regular PID and 2DOF-PID controllers. The FO-PID controller's robustness is also tested in both domains with a step load. Finally, the simulation results reveal that KMA outperforms alternative population-based optimization strategies. Thus, KMA can be one of the options as a controller tuning algorithm for AGC system modeling.

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