Honey Badger Algorithm Based Tuning of PID Conroller for Load Frequency Control in Two-Area Power System Including Electric Vehicle Battery

This paper presents a load frequency control using meta-heuristic method to find the gains of PID controllers. In this study, a novel meta-heuristic method, Honey Badger Algorithm is proposed to find the optimal Kp, Ki and Kd parameters of PID controller. The proposed algorithm is tested on two-area power system. However, electric vehicle battery, which is one of the electrical energy storage devices, has been added to the two-area power system. The settling time of the frequency has been investigated as a result of the load disturbance. Finally, a comparison was made between the traditional methods, Genetic Algorithm and Ziegler-Nichols method, and Honey Badger Algorithm. Upon comparison of the results, it is revealed that the proposed algorithm shows fast-damping steady-state deviations frequency with presence of step load disturbance.