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Using phasor data records and sequence of events to automate the classification of disturbances of power generating units

机译：使用相量数据记录和事件序列来自动分类发电机组的干扰

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摘要

Nowadays, it is a common practice in power generation utilities to monitor the generation units using digital fault recorders (DFRs). As the disturbance records are in general, analyzed and stored at the central office or control center, it has become difficult for engineers to analyze all this data. This paper presents a preprocessing methodology that automatically analyzes and classifies each record into known categories, focusing the engineer's attention to the most relevant occurrences. The scheme uses phasor records from DFR and the sequence of events (SOE) to achieve this. The data is pre-processed and then submitted to a set of expert systems in order to conclude the cause of the occurrence. Hundreds of real disturbance records and their corresponding SOE were used to evaluate the proposed scheme. The results show that about 95% of the records do not need further analysis and can be automatically stored without human intervention. The scheme is important in order to reduce the time spent with the disturbance analysis.
机译：如今，使用数字故障记录器（DFR）监视发电设备已成为发电企业的一种普遍做法。由于通常对干扰记录进行分析并存储在中心办公室或控制中心，因此工程师很难分析所有这些数据。本文介绍了一种预处理方法，该方法可以自动将每条记录进行分析并将其分类为已知类别，从而使工程师将注意力集中在最相关的事件上。该方案使用DFR中的相量记录和事件序列（SOE）来实现此目的。数据经过预处理，然后提交给一组专家系统，以推断出发生原因。数百个实际扰动记录及其相应的SOE用于评估该方案。结果表明，大约95％的记录不需要进一步分析，并且可以自动存储而无需人工干预。该方案对于减少干扰分析所花费的时间很重要。

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