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Performance improvement of hydraulic turbine generation system using subdivided finite set model predictive current control

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Abstract

This paper proposes performance improvement of hydraulic turbine generation system (HTGS) using a subdivided finite set model predictive current control (SFS-MPCC). Recently, the differential pressure control valve (DPCV) is replaced by HTGS because of the frequent breakdown in DPCV caused by cavitation in the district heating systems. The HTGS consists of the hydraulic turbine, permanent magnet synchronous generator (PMSG), back-to-back (BTB) converter, and three-phase grid. Especially, BTB converter is composed of a generator-side inverter, DC-link capacitor, and grid-side inverter. In the generator-side inverter, a model predictive current control (MPCC) has been widely used because of its many advantages, such as robustness from parameter variation, fast dynamic response, and unnecessariness of gain tuning. The conventional MPCC uses only eight voltage vectors; thus, it makes a large current ripple, which is directly related to torque ripple. Therefore, to reduce the current and torque ripple, SFS-MPCC, which uses subdivided voltage vectors is proposed. An additional algorithm to reduce the calculation time is proposed because the subdivided voltage vectors increase the calculation time excessively. The effectiveness of the proposed SFS-MPCC is demonstrated by simulation and experimental results.

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Acknowledgements

This research was supported by Korea Electric Power Corporation (Grant number: R21XO01-11) and Korea Electric Power Research Institute (KEPRI) grant funded by the KEPCO(R19DA09, Development of power control technologies on DER to increase DER hosting capacity in distribution system).

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Authors and Affiliations

  1. Charging System Engineering Design Team, Hyundai Motor Company, Hwaseong, Republic of Korea

    Young Jae Lee

  2. Department of Electrical Energy Engineering, Keimyung University, Daegu, Republic of Korea

    Yeongsu Bak

  3. Department of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea

    Kyo-Beum Lee

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  1. Young Jae Lee
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Correspondence to Kyo-Beum Lee.

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Lee, Y.J., Bak, Y. & Lee, KB. Performance improvement of hydraulic turbine generation system using subdivided finite set model predictive current control. J. Power Electron. 22, 1386–1397 (2022). https://doi.org/10.1007/s43236-022-00462-6

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  • DOI: https://doi.org/10.1007/s43236-022-00462-6

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