Andiç, CenkÖzümcan, SercanÖztürk, AliTürkay, Belgin2023-07-262023-07-262022978-1-6654-6925-8https://doi.org/10.1109/GPECOM55404.2022.9815701https://hdl.handle.net/20.500.12684/129174th IEEE Global Power, Energy and Communication Conference (IEEE GPECOM) -- JUN 14-17, 2022 -- Cappadocia, TURKEYThis 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.en10.1109/GPECOM55404.2022.9815701info:eu-repo/semantics/closedAccessEv Battery; Load Frequency Control; Honey Badger Algorithm; Two-Area Power SystemHoney Badger Algorithm Based Tuning of PID Conroller for Load Frequency Control in Two-Area Power System Including Electric Vehicle BatteryConference Object3073102-s2.0-85134880314WOS:000854056400053N/A