LAPSE:2023.14732
Published Article
LAPSE:2023.14732
Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization
March 1, 2023
Abstract
This study presents the implementation of Artificial Bee Colony (ABC) optimization in an island hybrid power system model using fuzzy logic-based load frequency control. The Island Hybrid Power System considered in this study consisted of various generation units and an energy storage system. The optimized control parameters of PID using ABC were used in an intelligent fuzzy logic controller. The profiles (power & Frequency) of isolated hybrid power system were improved using a Super Conducting Magnetic Energy Storage (SMES) System. Individual controllers were used for wind turbine and diesel generators to control the power output for balancing the demand (frequency change control). Comparative analysis of power and frequency with the help of various classical and intelligent control configurations is presented. The outcome of the study shows that a minimum deviation in frequency and power is obtained through the proposed Intelligent Fuzzy Control approach for the considered isolated power system model.
This study presents the implementation of Artificial Bee Colony (ABC) optimization in an island hybrid power system model using fuzzy logic-based load frequency control. The Island Hybrid Power System considered in this study consisted of various generation units and an energy storage system. The optimized control parameters of PID using ABC were used in an intelligent fuzzy logic controller. The profiles (power & Frequency) of isolated hybrid power system were improved using a Super Conducting Magnetic Energy Storage (SMES) System. Individual controllers were used for wind turbine and diesel generators to control the power output for balancing the demand (frequency change control). Comparative analysis of power and frequency with the help of various classical and intelligent control configurations is presented. The outcome of the study shows that a minimum deviation in frequency and power is obtained through the proposed Intelligent Fuzzy Control approach for the considered isolated power system model.
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Keywords
artificial bee colony algorithm, diesel generator, fuzzy logic control, isolated power system, load frequency control
Subject
Suggested Citation
Kumar NK, Gopi RS, Kuppusamy R, Nikolovski S, Teekaraman Y, Vairavasundaram I, Venkateswarulu S. Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization. (2023). LAPSE:2023.14732
Author Affiliations
Kumar NK: Department of Electrical and Electronics Engineering, M S RAMAIAH Institute of Technology, Bangalore, Karnataka 560054, India [ORCID]
Gopi RS: Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India [ORCID]
Kuppusamy R: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore 562106, India
Nikolovski S: Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, 31000 Osijek, Croatia [ORCID]
Teekaraman Y: Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK [ORCID]
Vairavasundaram I: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Venkateswarulu S: Department of Electrical and Electronics Engineering, Mother Theresa Institute of Engineering and Technology, Palamaner, Andhra Pradesh 517408, India [ORCID]
Gopi RS: Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India [ORCID]
Kuppusamy R: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore 562106, India
Nikolovski S: Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, 31000 Osijek, Croatia [ORCID]
Teekaraman Y: Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK [ORCID]
Vairavasundaram I: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Venkateswarulu S: Department of Electrical and Electronics Engineering, Mother Theresa Institute of Engineering and Technology, Palamaner, Andhra Pradesh 517408, India [ORCID]
Journal Name
Energies
Volume
15
Issue
6
First Page
2199
Year
2022
Publication Date
2022-03-17
ISSN
1996-1073
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PII: en15062199, Publication Type: Journal Article
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LAPSE:2023.14732
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https://doi.org/10.3390/en15062199
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