Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization

Neelamsetti Kirn Kumar, Rahul Sanmugam Gopi, Ramya Kuppusamy, Srete Nikolovski, Yuvaraja Teekaraman, Indragandhi Vairavasundaram and Siripireddy Venkateswarulu
Additional contact information
Neelamsetti Kirn Kumar: Department of Electrical and Electronics Engineering, M S RAMAIAH Institute of Technology, Bangalore, Karnataka 560054, India
Rahul Sanmugam Gopi: Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India
Ramya Kuppusamy: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore 562106, India
Srete Nikolovski: Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, 31000 Osijek, Croatia
Yuvaraja Teekaraman: Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK
Indragandhi Vairavasundaram: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Siripireddy Venkateswarulu: Department of Electrical and Electronics Engineering, Mother Theresa Institute of Engineering and Technology, Palamaner, Andhra Pradesh 517408, India

Energies, 2022, vol. 15, issue 6, 1-20

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.

Keywords: artificial bee colony algorithm; diesel generator; fuzzy logic control; isolated power system; load frequency control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/6/2199/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/6/2199/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:6:p:2199-:d:773370

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().