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Experimental Identification of the Optimal Current Vectors for a Permanent-Magnet Synchronous Machine in Wave Energy Converters

Author

Listed:
  • Simon Krüner

    (Graduate School of the Munich School of Engineering (MSE), Technical University of Munich (TUM) and SINN Power GmbH, Garching 85748, Germany)

  • Christoph M. Hackl

    (Department of Electrical Engineering and Information Technology, Munich University of Applied Sciences (MUAS) and MSE-Research Group “Control of Renewable Energy Systems”, Technical University of Munich (TUM), Munich 80335, Germany)

Abstract

This paper investigates efficiency enhancements in Permanent-Magnet Synchronous Machines (PMSMs) used as generators in wave energy converters. A method is presented, which allows experimental identification of the optimal current vectors leading to minimal losses and maximum efficiency. Iron and inverter losses are considered. The proposed identification method is generic and is applicable to any PMSM used as a generator. The obtained results are compared to the well-known Maximum Torque per Current (MTPC) strategy. Two MTPC strategies are investigated: (i) MTPC using linearised flux linkages; and (ii) MTPC using measured, nonlinear flux linkages. For both MTPC strategies, the influence of the Voltage Source Inverter (VSI) is taken into account. All measurements are performed on a simple and cheap industrial-like test bench. All three presented methods lead to increased efficiency. The best efficiency is obtained by the proposed maximum efficiency strategy, where iron and inverter losses are taken into account by proper measurement of the optimal current vectors.

Suggested Citation

  • Simon Krüner & Christoph M. Hackl, 2019. "Experimental Identification of the Optimal Current Vectors for a Permanent-Magnet Synchronous Machine in Wave Energy Converters," Energies, MDPI, vol. 12(5), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:862-:d:211075
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    Citations

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    Cited by:

    1. Xiaobin Qu & Yingxue Yao & Jianjun Du, 2021. "Conceptual Design and Hydrodynamic Performance of a Modular Hybrid Floating Foundation," Energies, MDPI, vol. 14(22), pages 1-17, November.
    2. Simon Krüner & Christoph M. Hackl, 2022. "Nonlinear Modelling and Control of a Power Smoothing System for a Novel Wave Energy Converter Prototype," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    3. Hongbo Qiu & Yong Zhang & Kaiqiang Hu & Cunxiang Yang & Ran Yi, 2019. "The Influence of Stator Winding Turns on the Steady-State Performances of Line-Start Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 12(12), pages 1-15, June.
    4. Željko Plantić & Tine Marčič & Miloš Beković & Gorazd Štumberger, 2019. "Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation," Energies, MDPI, vol. 12(18), pages 1-14, September.

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