LAPSE:2023.19352
Published Article
LAPSE:2023.19352
The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System
Mokhtar Shouran, Fatih Anayi, Michael Packianather
March 9, 2023
Abstract
This paper proposes a design of Sliding Mode Control (SMC) for Load Frequency Control (LFC) in a two-area electrical power system. The mathematical model design of the SMC is derived based on the parameters of the investigated system. In order to achieve the optimal use of the proposed controller, an optimisation tool called the Bees Algorithm (BA) is suggested in this work to tune the parameters of the SMC. The dynamic performance of the power system with SMC employed for LFC is studied by applying a load disturbance of 0.2 pu in area one. To validate the supremacy of the proposed controller, the results are compared with those of recently published works based on Fuzzy Logic Control (FLC) tuned by Teaching−Learning-Based Optimisation (TLBO) algorithm and the traditional PID optimised by Lozi map-based Chaotic Optimisation Algorithm (LCOA). Furthermore, the robustness of SMC-based BA is examined against parametric uncertainties of the electrical power system by simultaneous changes in certain parameters of the testbed system with 40% of their nominal values. Simulation results prove the superiority and the robustness of the proposed SMC as an LFC system for the investigated power system.
Keywords
load frequency control (LFC), sliding mode control (SMC), the Bees Algorithm (BA), two area power system
Suggested Citation
Shouran M, Anayi F, Packianather M. The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System. (2023). LAPSE:2023.19352
Author Affiliations
Shouran M: Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK [ORCID]
Anayi F: Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Packianather M: High Value Manufacturing Group, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Journal Name
Energies
Volume
14
Issue
18
First Page
5701
Year
2021
Publication Date
2021-09-10
ISSN
1996-1073
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Original Submission
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PII: en14185701, Publication Type: Journal Article
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LAPSE:2023.19352
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https://doi.org/10.3390/en14185701
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