Grey Wolf Optimization based 2DOF-PID Controller for Load Frequency Control

This work introduces a novel Grey Wolf Optimization (GWO) tuned two-degree-of-freedom proportional-integral-derivative (2DOF-PID) controller for load frequency control (LFC). LFC involves a set of control mechanisms that adjust the output of power generation units in response to changes in load and generation. Several modern techniques are applied to implement a stabilizing controller. An analysis of the dynamic performance of LFC using optimization method and the LFC problem in a power system with two power generating units has been established. In order to suppress oscillation, a 2DOF-PID control method is proposed in this study. The best controller parameters are found by applying recently developed algorithms. The controller performances are analysed by using the MATLAB/SIMULINK tool.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/giest62955.2024.10959859
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Grey Wolf Optimization based 2DOF-PID Controller for Load Frequency Control

Jogeswara Sabat, Manoj Kumar Kar, Chetan Sharma, S. Kanungo
Frequency Control in Power Systems
article

Grey Wolf Optimization based 2DOF-PID Controller for Load Frequency Control

Jogeswara Sabat, Manoj Kumar Kar, Chetan Sharma, S. Kanungo
article en

Abstract

This work introduces a novel Grey Wolf Optimization (GWO) tuned two-degree-of-freedom proportional-integral-derivative (2DOF-PID) controller for load frequency control (LFC). LFC involves a set of control mechanisms that adjust the output of power generation units in response to changes in load and generation. Several modern techniques are applied to implement a stabilizing controller. An analysis of the dynamic performance of LFC using optimization method and the LFC problem in a power system with two power generating units has been established. In order to suppress oscillation, a 2DOF-PID control method is proposed in this study. The best controller parameters are found by applying recently developed algorithms. The controller performances are analysed by using the MATLAB/SIMULINK tool.

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Frequency Control in Power Systems
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