基于物联网的风力发电机组整体监测系统设计

Long Zhao, Yuhao Zhou, I. Matsuo, S. Korkua, Weijen Lee
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引用次数: 5

摘要

风能作为最具发展前景的可再生能源之一,自20世纪90年代以来在世界范围内得到了大量的应用。与其他可再生能源相比,风力涡轮机尺寸的增大和恶劣的运行环境导致风力涡轮机的故障率更高。因此,风力发电机组的计划外维护和维修以及停机时间都大大增加了运行成本。此外,由于风电场的运行位置较远,需要长距离输电线路将风力发电电力传输到负荷中心。为了提高输电能力,很多情况下采用串联补偿线路。然而,串联补偿输电线路和风力涡轮机之间可能发生次同步控制交互作用(SSCI)。这可能会严重损坏风力涡轮机部件,并导致电网的稳定性问题。目前,各种风力发电机组状态监测系统已被开发和应用。许多研究也提出了不同的SSCI检测机制。本文提出了一种基于FPGA-CPU的整体监测系统,该系统不仅可以同时实时提供状态监测和SSCI监测功能,而且还可以记录必要的数据用于事后分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Design of a Holistic IoT-Based Monitoring System for a Wind Turbine
As one of the most promising renewable energy resources, a large amount of wind energy has been implemented all around the world since 1990s. Increasing the size of the wind turbines and the harsh operating environment lead to higher failure rates on the wind turbines compared with other renewable resources. As the result, not only unplanned maintenance and repairments but also downtime of the wind turbine increases the operation cost significantly. In addition, the long-distance transmission lines are required to transfer the wind generation power to the load centers due to the remote operation location of the wind farms. To improve the power transfer capability, series compensated lines are adopted in many cases. However, subsynchronous control interactions (SSCI) could happen between series compensated transmission lines and wind turbines. This may damage wind turbine components severely and cause stability issues in the power grids. Currently, various condition monitoring systems have been developed and applied for wind turbines. Different SSCI detection mechanisms are also proposed in many studies. This paper proposes an FPGA-CPU based holistic monitoring system which not only provides both condition and SSCI monitoring functions simultaneously in real-time but also records necessary data for post-event analysis.
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