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Predictive Direct Flux Control—A New Control Method of Voltage Source Inverters in Distributed Generation Applications

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  • Jiefeng Hu

    (Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

Voltage source inverters (VSIs) have been widely utilized in electric drives and distributed generations (DGs), where electromagnetic torque, currents and voltages are usually the control objectives. The inverter flux, defined as the integral of the inverter voltage, however, is seldom studied. Although a conventional flux control approach has been developed, it presents major drawbacks of large flux ripples, leading to distorted inverter output currents and large power ripples. This paper proposes a new control strategy of VSIs by controlling the inverter flux. To improve the system’s steady-state and transient performance, a predictive control scheme is adopted. The flux amplitude and flux angle can be well regulated by choosing the optimum inverter control action according to formulated selection criteria. Hence, the inverter flux can be controlled to have a specified magnitude and a specified position relative to the grid flux with less ripples. This results in a satisfactory line current performance with a fast transient response. The proposed predictive direct flux control (PDFC) method is tested in a 3 MW high-power grid-connected VSI system in the MATLAB/Simulink environment, and the results demonstrate its effectiveness.

Suggested Citation

  • Jiefeng Hu, 2017. "Predictive Direct Flux Control—A New Control Method of Voltage Source Inverters in Distributed Generation Applications," Energies, MDPI, vol. 10(4), pages 1-11, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:428-:d:93949
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    References listed on IDEAS

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    1. Gabriele D’Antona & Roberto Faranda & Hossein Hafezi & Marco Bugliesi, 2016. "Experiment on Bidirectional Single Phase Converter Applying Model Predictive Current Controller," Energies, MDPI, vol. 9(4), pages 1-14, March.
    2. Yanxue Yu & Haoyu Li & Zhenwei Li & Zhou Zhao, 2017. "Modeling and Analysis of Resonance in LCL-Type Grid-Connected Inverters under Different Control Schemes," Energies, MDPI, vol. 10(1), pages 1-17, January.
    3. Woo-Kyu Chae & Jong-Nam Won & Hak-Ju Lee & Jae-Eon Kim & Jaehong Kim, 2016. "Comparative Analysis of Voltage Control in Battery Power Converters for Inverter-Based AC Microgrids," Energies, MDPI, vol. 9(8), pages 1-18, July.
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    Cited by:

    1. Saheb Khanabdal & Mahdi Banejad & Frede Blaabjerg & Nasser Hosseinzadeh, 2021. "A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids," Energies, MDPI, vol. 14(16), pages 1-17, August.

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