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Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System

Author

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  • Nalini Karchi

    (Department of Electrical and Electronics Engineering, Gogte Institute of Technology, Belagavi 590006, India
    Department of Electrical and Electronics Engineering, KLE Dr. M.S. Sheshgiri College of Engineering & Technology, Belagavi 590008, India)

  • Deepak Kulkarni

    (Department of Electrical and Electronics Engineering, Gogte Institute of Technology, Belagavi 590006, India)

  • Rocío Pérez de Prado

    (Telecommunication Engineering Department, University of Jaén, 23700 Jaén, Spain)

  • Parameshachari Bidare Divakarachari

    (Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India)

  • Sujata N. Patil

    (Department of Electronics & Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering & Technology, Belagavi 590008, India)

  • Veena Desai

    (Department of Electronics and Communication Engineering, Gogte Institute of Technology, Belagavi 590006, India)

Abstract

The objective of the proposed work is to develop a Maximum Power Point Tracking (MPPT) controller and inverter controller by applying the adaptive least mean square (LMS) algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is given by its simplicity and reduced required computational time. The adaptive LMS algorithm is applied to modify the Perturb and Observe (P&O), MPPT controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The adaptive LMS maximum power point tracking controller gives better optimal solutions with less steady error 0.7% (6 watts) and 0% peak overshot in power with the tradeoff being more settling time at 0.33 s. The development of the inverter control law is performed using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and, later, to compare them with the actual grid currents. The result of this comparison is used to generate the switching gate pulses for the inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in grid and load current (3.25% and 7%) and voltage (0%) is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is performed by selecting step incremental values and sampling time.

Suggested Citation

  • Nalini Karchi & Deepak Kulkarni & Rocío Pérez de Prado & Parameshachari Bidare Divakarachari & Sujata N. Patil & Veena Desai, 2022. "Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System," Energies, MDPI, vol. 15(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8909-:d:983843
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    References listed on IDEAS

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    1. Chu Donatus Iweh & Samuel Gyamfi & Emmanuel Tanyi & Eric Effah-Donyina, 2021. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits," Energies, MDPI, vol. 14(17), pages 1-34, August.
    2. Julie Viloria-Porto & Carlos Robles-Algarín & Diego Restrepo-Leal, 2018. "A Novel Approach for an MPPT Controller Based on the ADALINE Network Trained with the RTRL Algorithm," Energies, MDPI, vol. 11(12), pages 1-17, December.
    3. Houda Brahmi & Rachid Dhifaoui & Chun Wei, 2021. "A Study of a DC/AC Conversion Structure for Photovoltaic System Connected to the Grid with Active and Reactive Power Control," Complexity, Hindawi, vol. 2021, pages 1-11, July.
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