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Digital Adaptive Hysteresis Current Control for Multi-Functional Inverters

Author

Listed:
  • Triet Nguyen-Van

    (Internet of Energy Laboratory, Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan)

  • Rikiya Abe

    (Internet of Energy Laboratory, Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan)

  • Kenji Tanaka

    (Internet of Energy Laboratory, Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan)

Abstract

This paper proposes a digital adaptive hysteresis current control method for multi-functional inverters in a power-flow control device called digital grid router. Each inverter can be controlled in master, grid-connected, or stand-alone modes, which can be specified by the controller. While the popular linear sine-triangle pulse width modulation (SPWM) control technique requires complicated proportional-integral (PI) regulators with an unavoidable time delay, hysteresis current control has a simple structure, fast responses, and robustness due to its independent system of parameters. Since the hysteresis current control method controls the output current stay around the reference current directly, in the multi-functional inverter, the reference output is not given by a current directly. Thus, the reference current used to implement the hysteresis current control in this study is calculated from the given reference voltage or power in each control mode. The controller uses high-speed sampled data at MHz level and is implemented by using a field-programmable gate array (FPGA). Experimental results show good performances of the proposed controller in controlling power exchanges in the digital grid router.

Suggested Citation

  • Triet Nguyen-Van & Rikiya Abe & Kenji Tanaka, 2018. "Digital Adaptive Hysteresis Current Control for Multi-Functional Inverters," Energies, MDPI, vol. 11(9), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2422-:d:169501
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    References listed on IDEAS

    as
    1. Byung-Moon Han, 2016. "A Half-Bridge Voltage Balancer with New Controller for Bipolar DC Distribution Systems," Energies, MDPI, vol. 9(3), pages 1-17, March.
    2. Triet Nguyen-Van & Rikiya Abe & Kenji Tanaka, 2018. "MPPT and SPPT Control for PV-Connected Inverters Using Digital Adaptive Hysteresis Current Control," Energies, MDPI, vol. 11(8), pages 1-16, August.
    3. Triet Nguyen-Van & Rikiya Abe & Kenji Tanaka, 2017. "A Digital Hysteresis Current Control for Half-Bridge Inverters with Constrained Switching Frequency," Energies, MDPI, vol. 10(10), pages 1-13, October.
    4. Takagi, Shinji, 1989. "The Japanese equity market:Past and present," Journal of Banking & Finance, Elsevier, vol. 13(4-5), pages 537-570, September.
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    Citations

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    Cited by:

    1. Xizheng Guo & Jiaqi Yuan & Yiguo Tang & Xiaojie You, 2018. "Hardware in the Loop Real-time Simulation for the Associated Discrete Circuit Modeling Optimization Method of Power Converters," Energies, MDPI, vol. 11(11), pages 1-14, November.
    2. Krzysztof Kołek & Andrzej Firlit, 2021. "A New Optimal Current Controller for a Three-Phase Shunt Active Power Filter Based on Karush–Kuhn–Tucker Conditions," Energies, MDPI, vol. 14(19), pages 1-17, October.
    3. Yingpei Liu & Yan Li & Haiping Liang & Jia He & Hanyang Cui, 2019. "Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles," Energies, MDPI, vol. 12(2), pages 1-16, January.
    4. Kamran Zeb & Muhammad Saqib Nazir & Iftikhar Ahmad & Waqar Uddin & Hee-Je Kim, 2021. "Control of Transformerless Inverter-Based Two-Stage Grid-Connected Photovoltaic System Using Adaptive-PI and Adaptive Sliding Mode Controllers," Energies, MDPI, vol. 14(9), pages 1-15, April.
    5. Triet Nguyen-Van, 2021. "A Power Control Method for Hybrid Electrical Accommodation Systems," Energies, MDPI, vol. 14(20), pages 1-12, October.
    6. Reo Kontani & Kenji Tanaka & Yuji Yamada, 2021. "Feasibility Conditions for Demonstrative Peer-to-Peer Energy Market," Energies, MDPI, vol. 14(21), pages 1-18, November.
    7. Jose Miguel Espi & Jaime Castello, 2019. "A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers," Energies, MDPI, vol. 12(6), pages 1-16, March.
    8. Yuki Matsuda & Yuto Yamazaki & Hiromu Oki & Yasuhiro Takeda & Daishi Sagawa & Kenji Tanaka, 2021. "Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control," Energies, MDPI, vol. 14(22), pages 1-12, November.

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