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A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations

Author

Listed:
  • Hiramani Shukla

    (Electrical Engineering Department, Maulana Azad National Institute of Technology Bhopal, Bhopal 462003, India)

  • Srete Nikolovski

    (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)

  • More Raju

    (Electrical Engineering Department, Maulana Azad National Institute of Technology Bhopal, Bhopal 462003, India)

  • Ankur Singh Rana

    (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India)

  • Pawan Kumar

    (Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala 147004, India)

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.

Suggested Citation

  • Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations," Energies, MDPI, vol. 15(21), pages 1-32, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8225-:d:962700
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    References listed on IDEAS

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    1. Deepak Kumar Gupta & Amitkumar V. Jha & Bhargav Appasani & Avireni Srinivasulu & Nicu Bizon & Phatiphat Thounthong, 2021. "Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems," Energies, MDPI, vol. 14(6), pages 1-16, March.
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    4. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    5. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems," Energies, MDPI, vol. 15(4), pages 1-20, February.
    6. CH. Naga Sai Kalyan & B. Srikanth Goud & Ch. Rami Reddy & Mohit Bajaj & Naveen Kumar Sharma & Hassan Haes Alhelou & Pierluigi Siano & Salah Kamel, 2022. "Comparative Performance Assessment of Different Energy Storage Devices in Combined LFC and AVR Analysis of Multi-Area Power System," Energies, MDPI, vol. 15(2), pages 1-22, January.
    7. Kaleem Ullah & Abdul Basit & Zahid Ullah & Fahad R. Albogamy & Ghulam Hafeez, 2022. "Automatic Generation Control in Modern Power Systems with Wind Power and Electric Vehicles," Energies, MDPI, vol. 15(5), pages 1-24, February.
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    Cited by:

    1. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "SMES-GCSC Coordination for Frequency and Voltage Regulation in a Multi-Area and Multi-Source Power System with Penetration of Electric Vehicles and Renewable Energy Sources," Energies, MDPI, vol. 16(1), pages 1-27, December.
    2. Abdulsamed Tabak, 2023. "Novel TI λ DND 2 N 2 Controller Application with Equilibrium Optimizer for Automatic Voltage Regulator," Sustainability, MDPI, vol. 15(15), pages 1-16, July.
    3. Shreya Vishnoi & Srete Nikolovski & More Raju & Mukesh Kumar Kirar & Ankur Singh Rana & Pawan Kumar, 2023. "Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines," Energies, MDPI, vol. 16(6), pages 1-25, March.

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