Optimization-Driven PID Parameter Tuning for Load Frequency Control in a Two-Area Power System

The paper provides an analysis comparing three optimization algorithms, namely Elephant Herding Optimization (EHO), Artificial Bee Colony (ABC) and Genetic Algorithm (GA). The study endeavors to scrutinize the efficacy and proficiency of these algorithms in addressing optimization dilemmas. The paper begins with an introduction to optimization algorithms, followed by a review on EHO, ABC and GA. The experimental setup and evaluation metrics are then described, the experimental results are showcased and thoroughly examined. The paper concludes by discussing the implications of the findings.