模型预测控制在风力发电中的应用综述

W. Lio, J. Rossiter, B. Jones
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引用次数: 43

摘要

本文概述了模型预测控制技术在风力发电中的最新发展、优点及其未来发展潜力。对于现代大型风力涡轮机,控制的主要目标是在保持疲劳负荷最小的同时最大限度地提高发电量。有了这样的多目标、多变量系统和执行器约束,流行的PI控制器可能变得无效或难以调整,而MPC为设计包含执行器约束知识的多变量控制器提供了一种系统的方法。本文综述了风力发电机组的控制问题,重点介绍了模型预测控制在风力发电机组中的应用。
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A review on applications of model predictive control to wind turbines
This paper aims to give an overview of the recent development and benefits of model predictive control in wind turbines and its future potential. For a modern large wind turbine, the main objective of control is to maximise the power production while maintaining the fatigue loads to be minimal. With such multiple objectives, a multivariable system and actuators constraints the popular PI controller may become ineffective or hard to tune whereas MPC provides a systematic approach for designing a multivariable controller incorporating the knowledge of actuator constraints. This paper reviews the wind turbine control problem and in particular gives a survey of the use of model predictive control on wind turbines.
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