Version 1
: Received: 14 April 2023 / Approved: 14 April 2023 / Online: 14 April 2023 (10:38:58 CEST)
How to cite:
Andic, C.; Ozumcan, S.; Varan, M.; Ozturk, A. A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. Preprints2023, 2023040368. https://doi.org/10.20944/preprints202304.0368.v1
Andic, C.; Ozumcan, S.; Varan, M.; Ozturk, A. A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. Preprints 2023, 2023040368. https://doi.org/10.20944/preprints202304.0368.v1
Andic, C.; Ozumcan, S.; Varan, M.; Ozturk, A. A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. Preprints2023, 2023040368. https://doi.org/10.20944/preprints202304.0368.v1
APA Style
Andic, C., Ozumcan, S., Varan, M., & Ozturk, A. (2023). A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. Preprints. https://doi.org/10.20944/preprints202304.0368.v1
Chicago/Turabian Style
Andic, C., Metin Varan and Ali Ozturk. 2023 "A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units" Preprints. https://doi.org/10.20944/preprints202304.0368.v1
Abstract
Load Frequency Control (LFC) is essential to ensure the stability and performance of power systems. In this study, a novel optimization algorithm, the Sea Horse Optimizer (SHO) algorithm, was proposed for optimizing controller parameters in LFC problems of power system. The proposed SHO algorithm was tested on a two-area power system with photovoltaic system and reheat thermal units, under three different scenarios: a 10% load change in both area, large load disturbances, and varying solar radiation. The proposed algorithm optimizes the gain parameters of PI/PID controllers using performance metrics such as Integral of Absolute value of the Error (IAE), Integral of Square Error (ISE), Integral of Time multiplied by Square Error (ITSE), and Integral of Time multiplied by Absolute Error (ITAE). The study compared the performance of the SHO-optimized controller with other reported optimization algorithms such as Genetic Algorithm (GA), Firefly Algorithm (FA), Whale Optimization
Algorithm (WOA), and Modified Whale Optimization Algorithm (MWOA). The study also evaluated the accuracy and effectiveness of the controllers using performance metrics such as Settling Time, Overshoot (M+), and Undershoot (M-). The results show that the SHO-tuned controller significantly reduces overshoot, undershoot, and settling time of the system oscillations compared to other algorithms. The study provides valuable insights into the optimization of LFC controllers and presents a significant contribution to the literature with its novel algorithm. The proposed SHO algorithm can be considered an effective alternative solution method for LFC in power systems.
Keywords
load frequency control; two-area power system; PV system; Sea Horse Optimizer
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
