Transformer area line loss rate evaluation and abnormality judgment method based on intelligent electric meter
A smart meter and abnormal judgment technology, which is applied in the direction of measuring electric power, measuring electric power through current/voltage, measuring electric power, etc., can solve the problems of calculation of line loss rate and difficulty in abnormal judgment in the station area, and achieves the promotion of refined management and reduction of The effect of station area loss and data quality improvement
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Embodiment 1
[0051] This embodiment provides a smart meter-based method for evaluating the line loss rate of the station area and judging the abnormality, including, using the smart meter in the data acquisition module to collect the power consumption parameter data in the station area; for the uncollected power consumption data , use the line loss estimation module to calculate the estimated value of the power consumption parameter; the data processing module obtains the calculation value of the daily electricity sales, daily loss value, daily line loss rate, and daily power supply in the station area based on the power consumption data and the estimated value of the power consumption parameter ; Use the distribution transformer detection terminal in the data acquisition module to calculate the statistical values of daily electricity sales, daily loss value, daily line loss rate, and daily power supply in the area, and compare them with the calculated values to make abnormal judgments; ...
Embodiment 2
[0086] This embodiment provides a smart meter-based flow loss rate evaluation and abnormality judgment method in a station area. The logic process is as follows figure 1 As shown, it includes the following steps:
[0087] Step 1. According to the wire type, input the ratio X / R value of the wire reactance and resistance in the station area;
[0088] Step 2. The data collector collects the voltage U of the smart meter user 2nt (a total of N users, T is the total number of times collected in one day), current I 2nt , power factor and TTU (distribution transformer monitoring terminal) voltage U 1t , current I 1t , power factor Acquisition is carried out in periods of 15 minutes, half an hour, and 1 hour. Collect the user's daily electricity sales E through smart meters 2n , the daily power supply E of the station area is collected through TTU 1 . Process the collected data, find abnormal data alarms, and eliminate abnormal data. After that, the time series analysis met...
Embodiment 3
[0095] In this embodiment, the method and system in Embodiment 1 are used to select 10 station areas with abnormal statistical line loss rates for pilot projects, and the method is passed through the data collection and processing module, the uncollected data estimation module, and the line loss calculation module. , line loss statistics module, line loss anomaly analysis module, system interface, and alarm module are integrated in the centralized collector and low-voltage centralized reading system to calculate the line loss rate in the station area. Before the implementation, the line loss rate of 10 station areas was between 15-40%, with large fluctuations, and the statistical line loss rate was abnormal; after the implementation, the calculated line loss rate of the 10 station areas was below 8%. Rate comparison and exception handling, the statistical line loss rate is reduced to 5% - 10%, effectively guiding the line loss management in the station area.
[0096] Table 1: ...
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