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Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

Author

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  • Muhammad Ammirrul Atiqi Mohd Zainuri

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Mohd Amran Mohd Radzi

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Azura Che Soh

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Norman Mariun

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

  • Nasrudin Abd Rahim

    (University of Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 59990, Malaysia)

  • Shahrooz Hajighorbani

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
    Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

Abstract

This paper presents improvement of a harmonics extraction algorithm, known as the fundamental active current (FAC) adaptive linear element (ADALINE) neural network with the integration of photovoltaic (PV) to shunt active power filters (SAPFs) as active current source. Active PV injection in SAPFs should reduce dependency on grid supply current to supply the system. In addition, with a better and faster harmonics extraction algorithm, the SAPF should perform well, especially under dynamic PV and load conditions. The role of the actual injection current from SAPF after connecting PVs will be evaluated, and the better effect of using FAC ADALINE will be confirmed. The proposed SAPF was simulated and evaluated in MATLAB/Simulink first. Then, an experimental laboratory prototype was also developed to be tested with a PV simulator (CHROMA 62100H-600S), and the algorithm was implemented using a TMS320F28335 Digital Signal Processor (DSP). From simulation and experimental results, significant improvements in terms of total harmonic distortion (THD), time response and reduction of source power from grid have successfully been verified and achieved.

Suggested Citation

  • Muhammad Ammirrul Atiqi Mohd Zainuri & Mohd Amran Mohd Radzi & Azura Che Soh & Norman Mariun & Nasrudin Abd Rahim & Shahrooz Hajighorbani, 2016. "Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters," Energies, MDPI, vol. 9(6), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:397-:d:70941
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    References listed on IDEAS

    as
    1. Wu Cao & Kangli Liu & Yongchao Ji & Yigang Wang & Jianfeng Zhao, 2015. "Design of a Four-Branch LCL -Type Grid-Connecting Interface for a Three-Phase, Four-Leg Active Power Filter," Energies, MDPI, vol. 8(3), pages 1-22, February.
    2. Niancheng Zhou & Jiajia Wang & Qianggang Wang & Nengqiao Wei & Xiaoxuan Lou, 2014. "Capacity Calculation of Shunt Active Power Filters for Electric Vehicle Charging Stations Based on Harmonic Parameter Estimation and Analytical Modeling," Energies, MDPI, vol. 7(8), pages 1-19, August.
    3. Ioannis Bouloumpasis & Panagis Vovos & Konstantinos Georgakas & Nicholas A. Vovos, 2015. "Current Harmonics Compensation in Microgrids Exploiting the Power Electronics Interfaces of Renewable Energy Sources," Energies, MDPI, vol. 8(4), pages 1-17, March.
    4. Alberto Dolara & Sonia Leva, 2012. "Power Quality and Harmonic Analysis of End User Devices," Energies, MDPI, vol. 5(12), pages 1-14, December.
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    Cited by:

    1. Dawid Buła & Dariusz Grabowski & Andrzej Lange & Marcin Maciążek & Marian Pasko, 2020. "Long- and Short-Term Comparative Analysis of Renewable Energy Sources," Energies, MDPI, vol. 13(14), pages 1-18, July.
    2. Yap Hoon & Mohd Amran Mohd Radzi & Mohd Khair Hassan & Nashiren Farzilah Mailah, 2017. "Control Algorithms of Shunt Active Power Filter for Harmonics Mitigation: A Review," Energies, MDPI, vol. 10(12), pages 1-29, December.
    3. Soumya Ranjan Das & Prakash Kumar Ray & Arun Kumar Sahoo & Somula Ramasubbareddy & Thanikanti Sudhakar Babu & Nallapaneni Manoj Kumar & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2021. "A Comprehensive Survey on Different Control Strategies and Applications of Active Power Filters for Power Quality Improvement," Energies, MDPI, vol. 14(15), pages 1-32, July.
    4. Yap Hoon & Mohd Amran Mohd Radzi & Mohd Khair Hassan & Nashiren Farzilah Mailah, 2017. "A Self-Tuning Filter-Based Adaptive Linear Neuron Approach for Operation of Three-Level Inverter-Based Shunt Active Power Filters under Non-Ideal Source Voltage Conditions," Energies, MDPI, vol. 10(5), pages 1-28, May.
    5. Jianben Liu & Yuan Ni & Jun Zhao, 2024. "An Improved Control Method of DC Voltage for Series Hybrid Active Power Filter," Energies, MDPI, vol. 17(14), pages 1-17, July.

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