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首页> 外文期刊>Arabian Journal for Science and Engineering >Modified Model Predictive Control of Back-to-Back T-type NPC Converter Interfacing Wind Turbine-Driven PMSG and Electric Grid
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Modified Model Predictive Control of Back-to-Back T-type NPC Converter Interfacing Wind Turbine-Driven PMSG and Electric Grid

机译：反向型T型NPC转换器接口风力涡轮机驱动PMSG和电网的改进模型预测控制

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摘要

In this paper, a modified model predictive control (MMPC) scheme is proposed for controlling a back-to-back (BTB) T-type neutral-point-clamped converter (TNPCC). The BTB TNPCC ties a permanent magnet synchronous generator (PMSG) to an electric grid. The PMSG is driven by a variable speed wind turbine. The aim of the proposed method is to mitigate the CMV not only on wind generator-side and but also on grid-side of BTB TNPCC and to reduce the computation effort. Classical MPC (CMPC) algorithms CMPC-I/CMPC-II and MMPC algorithms MMPC-I/MMPC-II are modeled, implemented and compared for two cases: zero CMV on GS/WGS of BTB TNPCC. The simulation results confirm that the MMPC scheme shows similar or slightly improved performance than that of CMPC scheme while accomplishing the following control goals: maximum power point tracking, reactive power control, DC-link voltage control, DC-link capacitors voltage balancing, and CMV mitigation. Moreover, the MMPC strategy shows additional advantages: It reduces a) the computational effort b) the peak CMV on the GS and keeps zero CMV on the WGS, or vice versa. Sensitivity tests are performed to analyze the performance of proposed algorithms in a complex scenario, where both GS and WGS inductance parameters are underestimated/overestimated concurrently. The MMPC strategy has been validated experimentally on an FPGA controller.
机译：本文提出了一种修改模型预测控制（MMPC）方案，用于控制回到后退（BTB）T型中性点钳位转换器（TNPCC）。 BTB TNPCC将永磁同步发电机（PMSG）连接到电网。 PMSG由变速风力涡轮机驱动。所提出的方法的目的是不仅在风力发电机侧减轻CMV，而且在BTB TNPCC的网格侧减轻了CMV，并降低了计算工作。古典MPC（CMPC）算法CMPC-I / CMPC-II和MMPC算法MMPC-I / MMPC-II模拟，实施和比较两种情况：BTB TNPCC的GS / WGS上的零CMV。仿真结果证实，MMPC方案的性能与CMPC方案相似或略微提高，同时完成以下控制目标：最大功率点跟踪，无功功率控制，直流连接电压控制，直流链路电容电压平衡和CMV减轻。此外，MMPC策略显示了额外的优点：它减少了a）计算工作B）GS上的峰CMV并保持零CMV在WG上，反之亦然。执行灵敏度测试以分析复杂场景中提出的算法的性能，其中GS和WGS电感参数同时低估/高估。 MMPC策略已在实验上在FPGA控制器上验证。

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