GTO technique based hybrid power system controller design

• Published in: I-Manager's Journal on Electrical Engineering Vol. 18; no. 1; p. 42
• Main Authors: V. S. R. Pavan, Kumar Neeli, Nerella, Sameera
• Format: Journal Article
• Language: English
• Published: Nagercoil iManager Publications 01.09.2024
• Subjects: Alternative energy sources; Computer engineering; Control systems design; Controllers; Design; Diesel engines; Efficiency; Electricity; Energy consumption; Energy resources; Energy storage; Frequency variation; Fuel cells; Hybrid systems; Hydrogen; Optimization techniques; Particle swarm optimization; Photovoltaic cells; Proportional integral derivative; Radiation; Soft computing
• ISSN: 0973-8835; 2230-7176
• DOI: 10.26634/jee.18.1.21400

In this paper, a controller is designed for a hybrid power system using a soft computing technique. The power system consists of a PV system, fuel cell, aqua electrolyzers, diesel engine generator, and a battery energy storage system. The system's frequency is controlled by a proportional-integral (PI) controller and a proportional-integral-derivative (PID) controller. A powerful optimization technique, called the Gorilla Troops Optimizer (GTO), is used to optimize the controller gains of the proposed hybrid power system. The system responses with GTO optimization-based controllers are compared with those using the Particle Swarm Optimization technique. Finally, the frequency responses show that the GTO-based controller is more effective in mitigating frequency variations in the system.