GTO Technique Based Hybrid Power System Controller Design

V. S. R. Pavan Kumar Neeli*, Nerella Sameera**
*-** Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.
Periodicity:July - September'2024

Abstract

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.

Keywords

Distributed Generation (DG) System, Frequency Deviations, Gorilla Troops Optimizer (GTO), Particle Swarm Optimization (PSO), PI/PID Controllers.

How to Cite this Article?

Neeli, V. S. R. P. K., and Sameera, N. (2024). GTO Technique Based Hybrid Power System Controller Design. i-manager’s Journal on Electrical Engineering, 18(1), 42-49.

References

[9]. Satish, R., & Rao, G. R. (2014). Design of controllers to control frequency for distributed generation. International Journal of Electrical and Computer Engineering, 8(2), 317-324.
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