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METHOD FOR IDENTIFYING POWER QUALITY DISTURBANCE TYPE BASED ON PQVIEW DATA SOURCE

机译:基于PQVIEW数据源的电能质量扰动类型识别方法

摘要

Provided is a method for identifying a power quality disturbance type based on a PQView data source. The method utilizes Site, Event, EventTrend, RMSVariation and Transient tables of a PQView database, and comprises the following steps: Step 1: acquiring all events within a certain time period from the PQView database, and determining whether each event has an rms type and whether the duration of each event is between 0.01 s and 1 min, and if not, performing Step 2; otherwise, acquiring a maximum per unit value and a minimum per unit value of a three-phase voltage, and respectively detecting the per unit values of each group, determining whether temporary voltage drop, short-time power outage and overvoltage failures occur, and describing a three-phase disturbance reason; Step 2: implementing a steady type analysis algorithm if an rms record exists and the duration of the rms record is greater than 60 s; and Step 3: writing each returned result to a PerturbAnalyse disturbance analysis table.
机译:提供了一种基于PQView数据源识别电能质量扰动类型的方法。该方法利用PQView数据库的Site,Event,EventTrend,RMSVariation和Transient表,并包括以下步骤:步骤1:从PQView数据库获取特定时间段内的所有事件,并确定每个事件是否具有均方根类型和每个事件的持续时间是否在0.01秒至1分钟之间,如果不是,则执行步骤2;否则,获取三相电压的最大单位值和最小单位值,分别检测各组的单位值,判断是否出现暂时性的电压降,短时停电和过电压故障,并进行描述。三相干扰原因;步骤2:如果存在均方根记录并且均方根记录的持续时间大于60 s,则执行稳定类型分析算法;步骤3:将每个返回的结果写入PerturbAnalyse干扰分析表。

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