Load Frequency Controller Design using GWO Algorithm

This work uses a novel metaheuristic technique in a power system to optimize the load frequency control (LFC) parameters while considering the proportional integral derivative controller (PID). This paper investigates the efficacy of the PID controller for LFC in a two-area system. The best parameter is found using the grey wolf optimization (GWO) algorithm to minimize the time domain objective function. The efficacy of the proposed algorithm is confirmed under various operating scenarios and system parameter fluctuations by comparing it with competitive methods. The MATLAB/SIMULINK application is used to obtain simulated controller performances.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aespc63931.2024.10872128
Citations
3
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.63
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article

Load Frequency Controller Design using GWO Algorithm

Manoj Kumar Kar, Chetan Sharma
3 citations
IoT-based Smart Home Systems
0.63
article

Load Frequency Controller Design using GWO Algorithm

Manoj Kumar Kar, Chetan Sharma
article en
3 citations

Abstract

This work uses a novel metaheuristic technique in a power system to optimize the load frequency control (LFC) parameters while considering the proportional integral derivative controller (PID). This paper investigates the efficacy of the PID controller for LFC in a two-area system. The best parameter is found using the grey wolf optimization (GWO) algorithm to minimize the time domain objective function. The efficacy of the proposed algorithm is confirmed under various operating scenarios and system parameter fluctuations by comparing it with competitive methods. The MATLAB/SIMULINK application is used to obtain simulated controller performances.

Openalex Percentile: Top 30%
IoT-based Smart Home Systems
0.63
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Load Frequency Controller Design using GWO Algorithm — Manoj Kumar Kar, Chetan Sharma · (2024) | TGRS Research Map | TGRS