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基于BDFWG降阶模型的最大风能捕获 被引量:1

Maximum wind energy capture control with order reduction model of brushless doubly-fed wind generator
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摘要 无刷双馈风力发电系统是一个多时间尺度高维数系统,根据无刷双馈电机的多时间尺度特征,可以得到无刷双馈风力发电系统三种不同的数学模型,即原模型、五阶模型和一阶模型,并且降阶模型与原模型具有一致稳定性。本文根据最大风能捕获原理,利用无刷双馈风力发电系统一阶模型,推导出一种实用型最大风能捕获控制算法。该算法建立在无刷双馈电机降阶模型基础上,与以往控制算法相比,明晰易懂、计算量小、便于操作,是一种实用型的控制算法。 Brushless doubly fed wind generator is system of multi-time scale nature and high dimensionality. In this paper, the nature of multi-time scale of brushless doubly-fed wind generator is discussed, relevant singular perturbed model with three-time scale, fifth-order model and first-order model are built. Based on the theory of maximum wind energy tracking, one kind of utility control algorithm of maximum wind energy tracking is deduced by means of first-order model of brushless doubly-fed wind generator. Comparing with previous control algorithm, this control algorithm is easier for learning and operation, is one kind of utility control algorithm.
出处 《微计算机信息》 2009年第13期268-270,共3页 Control & Automation
基金 申请人:吴捷 项目名称:分散式风力-太阳能发电系统的混合控制研究 颁发部门:国家自然科学基金项目(60534040)
关键词 无刷双馈风力发电机 多时间尺度 降阶 最大风能捕获 brushless doubly-fed wind generator multi-time scale system order reduction maximum wind energy tracking
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