Development and Design of an Optimal Fuzzy Logic 2DOF-PID Controller for a Two-Area Power System Using Bee Algorithm

Effective management of space and connectivity is essential in large-scale power pro-duction systems to generate adequate energy to satisfy market demand. The electric power system is segmented into smaller control zones to more effectively meet the needs of diverse populations, with each zone possessing its independent system. The study aims to design an automated control system for energy production across two interconnected domains: a reheat thermal power plant and a hydropower facility. The system employs fuzzy logic technologies alongside a 2DOF-PID controller to improve control efficacy. The bee swarm optimization approach was employed to facilitate the design and advancements of the fuzzy logic 2DOF-PID controller (FL2DPID). This technique primarily focused on modifying gain and control rules. The fuzzy logic 2DOF-PID controller (FL2DPID) exhibited enhanced performance compared to previous controllers, including fuzzy logic PID, 2DOF-PID and PID controllers. The model achieved a minimal error value of 0.1308, indicating a significant improvement. The data indicate that the new controller is operational, showing a significant improvement in overall performance and the stability of the electrical system.