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An investigation of operating behavior characteristics of a wind power system using a fuzzy clustering method

机译:基于模糊聚类的风电系统运行特性研究

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A wind power system has diverse operating characteristics as its operations depend on many factors such as wind power, machinery ageing and breakdowns, etc. Knowledge of the operating behavior of the wind power system is helpful for monitoring its status and for isolating harmful elements when malfunctions occur, To investigate the operating status and behavior of the system, the fuzzy clustering method is introduced to classify the system's operating points. Relative distance indices of the cluster centers are defined to describe the operating behavior. With those, the location and operating behavior of the operating point are identified in relation to the cluster centers. (C) 2017 Elsevier Ltd. All rights reserved.
机译:风力发电系统具有多种运行特性,因为其运行取决于许多因素,例如风力,机械老化和故障等。了解风力发电系统的运行行为有助于监测其状态并在故障发生时隔离有害元素为了研究系统的运行状态和行为,引入了模糊聚类方法对系统的运行点进行分类。定义聚类中心的相对距离指数以描述操作行为。通过这些,可以相对于群集中心确定操作点的位置和操作行为。 (C)2017 Elsevier Ltd.保留所有权利。

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