Computationally-efficient direct model predictive control of three-level neutral-point clamped back-to-back converters for wind turbinesystems with permanent-magnet synchronous generators

用于永磁同步发电机风力涡轮机系统的三电平中性点钳位背靠背变流器的计算高效直接模型预测控制

• 批准号: 267888886
• 负责人: Professor Dr.-Ing. Ralph Kennel
• 金额: --
• 依托单位: Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik (EAL)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/267888886?language=en
• 关键词: Computationally; efficient; direct; model; predictive

During the research project, computationally-efficient direct model predictive control (CE-DMPC) schemes for current/torque and power control of three-level neutral-point (diode) clamped (3L-NPC) back-to-back converters for wind turbine systems with permanent-magnet synchronous generators (PMSG) shall be developed, implemented, optimized and validated on a hardware-in-the-loop system (emulating the whole wind turbine system). The developed algorithms shall be implemented, tested and compared with convential DMPC on a FPGA/processor-based real-time system to measure and evaluate the computational effort. Finally, the CE-DMPC schemes shall be combined with (existing) virtual flux estimation methods to overcome the need of voltage sensors on the grid side.

在研究项目中，将在一个硬件在环系统（模拟整个风力发电系统）上开发、实施、优化和验证用于具有永磁同步发电机（PMSG）的风力发电系统的三电平中性点（二极管）箝位（3L-NPC）背靠背变流器的电流/转矩和功率控制的计算效率高的直接模型预测控制（CE-DMPC）方案。所开发的算法将在基于FPGA/处理器的实时系统上实现、测试并与传统的DMPC进行比较，以测量和评估计算工作量。最后，CE-DMPC方案应与（现有的）虚拟磁链估计方法相结合，以克服对电网侧电压传感器的需求。

项目成果

Computationally Efficient DMPC for Three-Level NPC Back-to-Back Converters in Wind Turbine Systems With PMSG

• DOI: 10.1109/tpel.2016.2637081
• 发表时间: 2017-10
• 期刊: IEEE Transactions on Power Electronics
• 影响因子: 6.7
• 作者: Zhenbin Zhang;C. Hackl;R. Kennel

Multiple-Vector Model Predictive Power Control for Grid-Tied Wind Turbine System With Enhanced Steady-State Control Performance

• DOI: 10.1109/tie.2017.2682000
• 发表时间: 2017-08
• 期刊: IEEE Transactions on Industrial Electronics
• 影响因子: 7.7
• 作者: Zhenbin Zhang;Hui Fang;F. Gao;José R. Rodríguez;R. Kennel

Fully FPGA based performance-enhanced DMPC for grid-tied AFEs with multiple predictions

• DOI: 10.1109/iecon.2015.7392277
• 发表时间: 2015-11
• 期刊: IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
• 作者: Zhenbin Zhang;Zhe Chen;Fengxiang Wang;Chun Wu;R. Kennel

Nonlinear Direct Control for Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems: Experimental Assessment With FPGA

三电平 NPC 背靠背变流器 PMSG 风力发电机系统的非线性直接控制：使用 FPGA 进行实验评估

• DOI: 10.1109/tii.2017.2678500
• 发表时间: 2017-03
• 期刊: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
• 影响因子: 12.3
• 作者: Z. Zhang;汪凤翔;J. Wang;J. Rodriguez;R. Kennel
• 通讯作者: R. Kennel

A Computationally Efficient Quasi-Centralized DMPC for Back-to-Back Converter PMSG Wind Turbine Systems Without DC-Link Tracking Errors

用于无直流链路跟踪误差的背靠背变流器 PMSG 风力涡轮机系统的计算高效的准集中式 DMPC

• DOI: 10.1109/tie.2016.2573768
• 发表时间: 2016-05
• 期刊: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
• 影响因子: 7.7
• 作者: J.-Z. Zhang;汪凤翔;T. Sun;J. Rodriguez;R. Kennel
• 通讯作者: R. Kennel