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.

本文提出了使用细分有限集模型预测电流控制 (SFS-MPCC) 来改进水轮机发电系统 (HTGS) 的性能。最近，由于区域供热系统中的气蚀导致 DPCV 经常发生故障，差压控制阀 (DPCV) 被 HTGS 取代。HTGS 由水轮机、永磁同步发电机 (PMSG)、背靠背 (BTB) 转换器和三相电网组成。特别是BTB变流器由发电机侧逆变器、直流环节电容器和网侧逆变器组成。在发电机侧逆变器中，模型预测电流控制 (MPCC) 已被广泛使用，因为它具有许多优点，例如参数变化的鲁棒性、快速的动态响应以及不需要增益调整。传统的 MPCC 仅使用八个电压矢量；因此，它会产生很大的电流纹波，这与转矩纹波直接相关。因此，为了降低电流和转矩纹波，提出了使用细分电压矢量的 SFS-MPCC。由于细分的电压矢量过度增加了计算时间，因此提出了一种减少计算时间的附加算法。仿真和实验结果证明了所提出的 SFS-MPCC 的有效性。由于细分的电压矢量过度增加了计算时间，因此提出了一种减少计算时间的附加算法。仿真和实验结果证明了所提出的 SFS-MPCC 的有效性。由于细分的电压矢量过度增加了计算时间，因此提出了一种减少计算时间的附加算法。仿真和实验结果证明了所提出的 SFS-MPCC 的有效性。