正常和阵风条件下风力涡轮机控制方法的比较分析

IF 5.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

摘要

本文通过在低于和高于额定风速的正常风力条件下的全非线性风力涡轮机模型中实施比例积分(PI)、模型预测控制(MPC)和无穷大(H∞)控制器等知名控制算法,对这些算法进行了全面评估。仿真结果表明,所有控制器的性能都令人满意。本研究对 MPC 进行了扩展,增加了一个前馈(FF)环(FF-MPC),利用光探测和测距(LiDAR)传感器提供的风速信息(提前测量即将到来的风)来提高整体控制性能。FF-MPC 在正常和异常(即阵风)风力条件下进行了测试。测试结果与标准反馈 MPC(FB-MPC)的结果进行了比较。结果表明,在标准 FB 控制器中加入 FF 环路可以改善控制性能,从而提高风机的可靠性和使用寿命。此外,与 PI 和 H∞ 控制器相比,MPC 增加了 FF 环路,这是因为 MPC 在处理约束、非线性和多目标方面具有多功能性,而且其固有能力可纳入预览风力数据。所有控制器均使用高保真气弹模型(即 DNV 的 Bladed 模型)进行测试。在风力涡轮机控制器设计中,在应用到实际风力涡轮机之前,使用 Bladed 模型是很常见的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative analysis of control methods for a wind turbine in normal and gusty conditions

This paper provides a thorough evaluation of well-known control algorithms, including proportional–integral (PI), model predictive control (MPC), and H-infinity (H) controllers, by implementing them in a full nonlinear wind turbine model under normal wind conditions in below and above-rated wind speeds. The simulation results show that all the controllers perform satisfactorily. This study extends MPC to include a feedforward (FF) loop (FF-MPC) that uses the wind speed information provided by a light detection and ranging (LiDAR) sensor, which measures the upcoming wind (in advance), to improve the overall control performance. The FF-MPC was tested under both normal and anomalous (i.e. gusty) wind conditions. The results were compared with those of the standard feedback MPC (FB-MPC). The results show that the incorporation of the FF loop into the standard FB controller can improve the control performance, which can result in improved reliability and lifespan of the turbine. Furthermore, MPC was augmented with an FF loop over PI and H controllers owing to its versatility in handling constraints, nonlinearities, and multiple objectives, along with its inherent capability to incorporate preview wind data. All the controllers are tested using a high-fidelity aeroelastic model (i.e. Bladed by DNV). The use of a Bladed model is common in wind turbine controller design before the application to the real-life wind turbine, and Bladed also allows more realistic simulation when incorporating a LiDAR.

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来源期刊
Control Engineering Practice
Control Engineering Practice 工程技术-工程:电子与电气
CiteScore
9.20
自引率
12.20%
发文量
183
审稿时长
44 days
期刊介绍: Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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