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Comparison of Various Controller Tuning for Frequency Stability in Hybrid Microgrid System

Mahesh Singh*, Ashna Sonwane**

*-** Department of Electrical Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattishgarh, India.

Periodicity:July - September'2023
DOI : https://doi.org/10.26634/jee.17.1.20232

Abstract

The growing integration of renewable energy sources in hybrid microgrid systems necessitates effective frequency stability controllers. This paper presents a thorough comparison of Cuckoo Search Optimization (CSO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Proportional-Integral-Derivative (PID) controllers in a realistic 20 kW hybrid microgrid environment. Through meticulous simulations, tuning parameters for each method are fine-tuned for optimal performance. The study quantitatively evaluates critical metrics, including lagging time, overshoot, settling time, and steady-state error, providing insights into the strengths and weaknesses of each approach. The paper introduces a percentage improvement analysis, showcasing advancements made by each method. The outcomes serve as a benchmark for practical implementation, aiding in the selection of the most suitable controller tuning method for achieving enhanced frequency stability in hybrid microgrid systems.

Keywords

Hybrid Microgrid System, Frequency Stability, Controller Tuning, Cuckoo Search Optimization (CSO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Proportional-Integral-Derivative (PID).

How to Cite this Article?

Singh, M., and Sonwane, A. (2023). Comparison of Various Controller Tuning for Frequency Stability in Hybrid Microgrid System. i-manager’s Journal on Electrical Engineering, 17(1), 34-44. https://doi.org/10.26634/jee.17.1.20232

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Comparison of Various Controller Tuning for Frequency Stability in Hybrid Microgrid System

Abstract

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