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Multi-degree-of-freedom high-efficiency wind power generation system and its optimal regulation based on short-term wind forecasting
Energy Conversion and Management ( IF 9.9 ) Pub Date : 2021-10-08 , DOI: 10.1016/j.enconman.2021.114829
Weichao Dong 1, 2 , Hexu Sun 1, 2 , Jianxin Tan 3 , Zheng Li 1 , Jingxuan Zhang 4 , Huifang Yang 5
Affiliation  

The efficient and stable operation of wind generators is important for the realization of large-scale power generation. In this study, a multi-degree-of-freedom (multi-DoF) wind power generation system (WPGS) based on short-term wind forecasting is proposed, which is suitable for off-grid types of operation. First, the change in wind direction and speed over 24 h was obtained through short-term wind forecasting considering the relationship between wind speed and direction based on the Gaussian mixture model (GMM). Meanwhile, a novel control strategy, long short-term memory network-based model predictive control, was proposed to guide the real-time wind aligning operation of a wind generator based on wind forecasting results. Finally, a multi-DoF permanent-magnet synchronous wind generator was deflected around the rotor shaft to align it toward the wind direction, thereby substituting the yaw system in the traditional wind generator. The proposed system was evaluated by comparing it with other existing models, and its performance was found to be superior to the existing models in all aspects. This is the first study to generate a complete set of high-efficiency WPGSs, which is composed of wind forecasting results, a control system, and a new type of wind generator. The proposed system improves the passive and hysteretic operation modes of traditional wind turbines and significantly increases the efficiency of wind generators and is expected to serve as a reference for future research in this area.



中文翻译:

基于短期风速预测的多自由度高效风力发电系统及其优化调节

风力发电机的高效稳定运行对于实现大规模发电具有重要意义。在这项研究中,提出了一种基于短期风力预测的多自由度(multi-DoF)风力发电系统(WPGS),适用于离网类型的运行。首先,基于高斯混合模型(GMM)考虑风速和风向之间的关系,通过短期风预测获得24小时内风向和风速的变化。同时,提出了一种新的控制策略,即基于长短期记忆网络的模型预测控制,以根据风力预测结果指导风力发电机的实时调风运行。最后,多自由度永磁同步风力发电机绕转子轴偏转,使其与风向对齐,从而取代了传统风力发电机中的偏航系统。通过与其他现有模型的比较来评估所提出的系统,发现其性能在各个方面都优于现有模型。这是第一个生成一套完整的高效WPGSs的研究,它由风力预测结果、控制系统和新型风力发电机组成。该系统改进了传统风力发电机的被动和滞后运行模式,显着提高了风力发电机的效率,有望为该领域的未来研究提供参考。从而替代传统风力发电机中的偏航系统。通过与其他现有模型的比较来评估所提出的系统,发现其性能在各个方面都优于现有模型。这是第一个生成一套完整的高效WPGSs的研究,它由风力预测结果、控制系统和新型风力发电机组成。该系统改进了传统风力发电机的被动和滞后运行模式,显着提高了风力发电机的效率,有望为该领域的未来研究提供参考。从而替代传统风力发电机中的偏航系统。通过与其他现有模型的比较来评估所提出的系统,发现其性能在各个方面都优于现有模型。这是第一个生成一套完整的高效WPGSs的研究,它由风力预测结果、控制系统和新型风力发电机组成。该系统改进了传统风力发电机的被动和滞后运行模式,显着提高了风力发电机的效率,有望为该领域的未来研究提供参考。这是第一个生成一套完整的高效WPGSs的研究,它由风力预测结果、控制系统和新型风力发电机组成。该系统改进了传统风力发电机的被动和滞后运行模式,显着提高了风力发电机的效率,有望为该领域的未来研究提供参考。这是第一个生成一套完整的高效WPGSs的研究,它由风力预测结果、控制系统和新型风力发电机组成。该系统改进了传统风力发电机的被动和滞后运行模式,显着提高了风力发电机的效率,有望为该领域的未来研究提供参考。

更新日期:2021-10-08
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