LAPSE:2023.8520
Published Article

LAPSE:2023.8520
A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations
February 24, 2023
Abstract
An interconnected power system requires specific restrictions to be maintained for frequency, tie-line power, and the terminal voltage of synchronized generators to avoid instability. Therefore, frequency stability and voltage regulation issues are covered individually and jointly in the current research work. Initially in test system 1, automatic generation control (AGC) investigations are done on two interconnected systems with thermal plants and electric vehicles in one area and distributed generation and electric vehicles in other area. The automatic voltage regulator (AVR) problem alone is chosen for investigation in test system 2. The third test system addresses the combined AGC and AVR issues. The performance of the fractional-order tilt-integral-derivative (TID) controller is compared with that of a widely used proportional integral derivative (PID) controller in all three test systems studies. The findings demonstrate better performance of the TID controller than PID in terms of providing superior dynamic metrics, such as low peak overshoots, undershoots, and settling time, as well as decreased oscillations amplitudes. Additionally, TID performs better than PID despite randomized load disturbance, system non-linearities, and time delays in AGC and the combined AGC and AVR problem. The PSO-tuned TID controller is insensitive to variation in load damping factor and time constants of the AVR system. Finally, the results are validated by an OPAL-RT 4510 real-time digital simulator.
An interconnected power system requires specific restrictions to be maintained for frequency, tie-line power, and the terminal voltage of synchronized generators to avoid instability. Therefore, frequency stability and voltage regulation issues are covered individually and jointly in the current research work. Initially in test system 1, automatic generation control (AGC) investigations are done on two interconnected systems with thermal plants and electric vehicles in one area and distributed generation and electric vehicles in other area. The automatic voltage regulator (AVR) problem alone is chosen for investigation in test system 2. The third test system addresses the combined AGC and AVR issues. The performance of the fractional-order tilt-integral-derivative (TID) controller is compared with that of a widely used proportional integral derivative (PID) controller in all three test systems studies. The findings demonstrate better performance of the TID controller than PID in terms of providing superior dynamic metrics, such as low peak overshoots, undershoots, and settling time, as well as decreased oscillations amplitudes. Additionally, TID performs better than PID despite randomized load disturbance, system non-linearities, and time delays in AGC and the combined AGC and AVR problem. The PSO-tuned TID controller is insensitive to variation in load damping factor and time constants of the AVR system. Finally, the results are validated by an OPAL-RT 4510 real-time digital simulator.
Record ID
Keywords
automatic generation control, automatic voltage regulator, electric vehicles, Particle Swarm Optimization, tilt-integral derivative, time delay
Subject
Suggested Citation
Shukla H, Nikolovski S, Raju M, Rana AS, Kumar P. A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations. (2023). LAPSE:2023.8520
Author Affiliations
Shukla H: Electrical Engineering Department, Maulana Azad National Institute of Technology Bhopal, Bhopal 462003, India [ORCID]
Nikolovski S: Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, J. J. Strossmayer University of Osijek, K. Trpimira 2B, HR-31000 Osijek, Croatia [ORCID]
Raju M: Electrical Engineering Department, Maulana Azad National Institute of Technology Bhopal, Bhopal 462003, India
Rana AS: Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India
Kumar P: Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147004, India [ORCID]
Nikolovski S: Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, J. J. Strossmayer University of Osijek, K. Trpimira 2B, HR-31000 Osijek, Croatia [ORCID]
Raju M: Electrical Engineering Department, Maulana Azad National Institute of Technology Bhopal, Bhopal 462003, India
Rana AS: Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India
Kumar P: Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147004, India [ORCID]
Journal Name
Energies
Volume
15
Issue
21
First Page
8225
Year
2022
Publication Date
2022-11-03
ISSN
1996-1073
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Original Submission
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PII: en15218225, Publication Type: Journal Article
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LAPSE:2023.8520
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https://doi.org/10.3390/en15218225
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Feb 24, 2023
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