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Harmonics Minimisation in Non-Linear Grid System Using an Intelligent Hysteresis Current Controller Operated from a Solar Powered ZETA Converter

Author

Listed:
  • Lakshmana Perumal Pattathurani

    (Faculty of Electrical Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India)

  • Subhransu S. Dash

    (Department of Electrical Engineering, Government College of Engineering, Keonjhar 758002, Odisha, India)

  • Rajat K. Dwibedi

    (Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Chennai 603104, Tamil Nadu, India)

  • Mani Devesh Raj

    (Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam 603110, Tamil Nadu, India)

  • Raju Kannadasan

    (Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Kanchipuram 602117, Tamil Nadu, India)

  • Max F. Savio

    (Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai 602105, Tamil Nadu, India)

  • Mohammed H. Alsharif

    (Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea)

  • James Hyungkwan Kim

    (Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA)

Abstract

Due to the non-linear load characteristics in the domestic three-phase grid system, the quality of power transmission is a challenge for researchers. In this paper, the harmonics injected in a three-phase grid system due to the non-linear loads and a solution for harmonics minimisation using the hysteresis current controller (HCC) is presented. The proposed work consists of switched dc loads such as personal computers, SMPS, etc., connected to the three-phase grid system through the rectifier unit. These loads connected with other AC loads inject harmonics in the power lines. The total harmonic distortion (THD) at the power line is therefore increased. A ZETA embedded three-phase inverter using an artificial neural network-based HCC (ANN-HCC) is used to minimise the voltage and the current THDs. To ease the power consumption, a solar photovoltaic system (SPV) is used to power the ZETA embedded three-phase inverter. The output of the SPV is regulated using the ZETA dc/dc converter. However, the hysteresis bands ( U upper and U lower ) are selected using the ANN with respect to the actual value compared with the calculated current error. The vector shifts to the next based on the previous vector applied, and thereby the process repeats following the same pattern. The back propagation (BP)-based neural network is trained using the currents’ non-linear and differential functions to generate the current error. The neural structure ends when the value hits the hysteresis band. Simultaneously, the PWM control waveform is tracked by the neural network output. The proposed system is mathematically modelled using MATLAB/Simulink. An experimental setup of a similar prototype model is designed. The voltage and the current harmonics are measured using a Yokogawa CW240 power quality meter and the results are discussed.

Suggested Citation

  • Lakshmana Perumal Pattathurani & Subhransu S. Dash & Rajat K. Dwibedi & Mani Devesh Raj & Raju Kannadasan & Max F. Savio & Mohammed H. Alsharif & James Hyungkwan Kim, 2022. "Harmonics Minimisation in Non-Linear Grid System Using an Intelligent Hysteresis Current Controller Operated from a Solar Powered ZETA Converter," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7028-:d:834325
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    References listed on IDEAS

    as
    1. Chandrasekaran Venkatesan & Raju Kannadasan & Mohammed H. Alsharif & Mun-Kyeom Kim & Jamel Nebhen, 2021. "A Novel Multiobjective Hybrid Technique for Siting and Sizing of Distributed Generation and Capacitor Banks in Radial Distribution Systems," Sustainability, MDPI, vol. 13(6), pages 1-34, March.
    2. Mani Rajalakshmi & Sankaralingam Chandramohan & Raju Kannadasan & Mohammed H. Alsharif & Mun-Kyeom Kim & Jamel Nebhen, 2021. "Design and Validation of BAT Algorithm-Based Photovoltaic System Using Simplified High Gain Quasi Boost Inverter," Energies, MDPI, vol. 14(4), pages 1-24, February.
    3. Chandrasekaran Venkatesan & Raju Kannadasan & Dhanasekar Ravikumar & Vijayaraja Loganathan & Mohammed H. Alsharif & Daeyong Choi & Junhee Hong & Zong Woo Geem, 2021. "Re-Allocation of Distributed Generations Using Available Renewable Potential Based Multi-Criterion-Multi-Objective Hybrid Technique," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    4. Sumaya Jahan & Shuvra Prokash Biswas & Md. Kamal Hosain & Md. Rabiul Islam & Safa Haq & Abbas Z. Kouzani & M A Parvez Mahmud, 2021. "An Advanced Control Technique for Power Quality Improvement of Grid-Tied Multilevel Inverter," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
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