Line loss judgment method and device, equipment, storage medium and program product

Abstract

The invention relates to a line loss judgment method and device, equipment, a storage medium and a program product. The method comprises the following steps: obtaining a theoretical line loss table of a power supply line in a plurality of historical time periods, obtaining a difference value between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period, and comparing the difference value with a preset threshold value; and judging whether the actual line loss of the current time period is normal or not according to the comparison result and the theoretical line loss and the line loss date of each historical time period. According to the method, the number of the metering devices in the current time period and the number of the metering devices in the plurality of historical time periods of the power supply line are compared, whether the actual line loss is normal or not is further judged according to the difference between the different numbers of the metering devices, and misjudgment of the line loss value caused by the loss of the metering devices and the difference of the numbers of the metering devices is fully considered; the method for judging the line loss is more accurate, and the method for obtaining the number of the metering devices is simple and high in operability.

Description

technical field [0001] The present application relates to the technical field of power systems, in particular to a line loss judgment method, device, equipment, storage medium and program product. Background technique [0002] Line loss management is the key work of electric power enterprises. At present, the line loss judgment standard of the line is that the line loss rate is between -2% and 5%, which is regarded as normal, otherwise it is abnormal. There may be inherent line loss rate of 0.1%, and the line already has problems such as electricity theft, metering device failure, and wrong file data, but the line loss rate obtained at this time is still 4%. Between 5% and 5%, it is considered normal, so that the abnormality persists for too long and brings great inconvenience and workload to subsequent processing. It may also be that the inherent line loss rate of the line is 3.5%, and the line is normal, but the line loss rate obtained at this time is 6%, which exceeds t...

AI Technical Summary

Problems solved by technology

There may be inherent line loss rate of 0.1%, and the line already has problems such as electricity theft, metering device failure, and wrong file data, but the line loss rate obtained at this time is still 4%. Between 5% and 5%, it is considered normal, so that the abnormality persists for too long and brings great inconvenience and workload to subsequent processing

It may also be that the inherent line loss rate of the line is 3.5%, and the line is normal, but the line loss rate obtained at this time is 6%, which exceeds the judgment condition and is regarded as abnormal

Therefore, when the existing line loss judgment is made according to the default value of the industry standard, there is a problem of inaccurate judgment

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