海上风力发电机支撑结构动力学分析与控制

Neeraj Aggarwal, R. Manikandan, N. Saha
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引用次数: 7

摘要

海上风力发电是一项很有前途的技术,对未来的能源需求很重要。海上风能是一种潜在的可再生能源,能够满足我们的需求。研究仍在进行中,以解决与这项技术相关的几个挑战,其中之一是风力涡轮机的支撑结构的不良反应。海上风电机组处于恶劣环境中,承受风、浪、流、地震等环境荷载。支承结构在荷载作用下表现出非线性响应。由于波浪的不规则性,响应往往是混乱的,这反过来又降低了涡轮机的整体稳定性。该研究考虑了一台5MW的NREL风力涡轮机。涡轮假定安装在水深320米的浮动平台上。为了保证结构响应处于安全运行状态,控制结构响应至关重要。本文的重点是开发鲁棒控制技术,以调节海上风力发电机支撑结构的振动和同步。为了实现这一目标,提出了两种方法:滑模控制器和基于改变振荡能量的控制机构。通过对海上风力机支撑结构在混沌状态下的控制响应进行控制器设计,说明了算法的性能。将控制器的性能与基于李雅普诺夫稳定性理论的一般后倾控制方法进行了比较。数值结果和仿真结果验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic analysis and control of support structures for offshore wind turbines
Offshore wind power is a promising technology and is important from the future energy demand. Energy from the offshore wind can be a potential source of renewable energy which is capable of meeting our needs. Research is still underway for addressing the several challenges associated with this technology and one of them is the unwanted response of support structures for wind turbines. Offshore wind turbines are located in severe environment and experience environmental loads like wind, wave, current and seismic excitations. The support structures when subjected to the loads exhibit the nonlinear response. Owing to the irregular waves, the response will often be chaotic which in turn reduces the overall stability of the turbine. A 5MW NREL wind turbine is considered for the study. The turbine is assumed to be installed on a floating platform with water depths of 320 m. To keep the response in safe operating regime, the controlled response of offshore structure is essential. The focus of this paper is to develop robust control techniques so as to regulate the vibration and synchronization of support structures for an offshore wind turbine. To achieve the same, two methods the sliding mode controller and a control mechanism based on altering the oscillation energy are being proposed. The performance of the algorithms is illustrated in this paper by designing the controllers for controlled response of the structures supporting offshore wind turbines in the chaotic regime. The performances of controllers are compared with general back steeping control methodology based on Lyapunov stability theory. Numerical results and simulations are shown to validate the proposed methodology and to demonstrate its effectiveness.
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