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Electricity larceny user judgment method based on electricity utilization collection big data

A technology of electricity collection and big data, applied in the direction of measuring electrical variables, instruments, measuring devices, etc.

Active Publication Date: 2021-04-30
BEIJING KEDONG ELECTRIC POWER CONTROL SYST
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] The present invention provides a method for judging electricity-stealing users based on electricity collection big data, which solves the problems disclosed in the background technology

Method used

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  • Electricity larceny user judgment method based on electricity utilization collection big data
  • Electricity larceny user judgment method based on electricity utilization collection big data
  • Electricity larceny user judgment method based on electricity utilization collection big data

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Embodiment Construction

[0050]The present invention will be further described below with reference to the accompanying drawings. The following examples are for more clearly explaining the technical solutions of the present invention without limiting the scope of the invention.

[0051]Such asfigure 1 As shown, a schematic user judgment method based on electricity acquisition, including the following steps:

[0052]Step 1, get the area / line from the transfer to the current total statistical line loss rate.

[0053]The field / line user type is generally distinguished by large-scale specialty users, small and medium-sized special users, three-phase general industrial and commercial users, single-phase general industrial and commercial users and resident users.

[0054]Specialized users include large-scale variable users and small-sized-type users, and large-scale variable users (Class A) refer to users with electricity consumption of 100kVA and above, the small and medium-sized special users (class B) refer to electri...

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Abstract

The invention discloses an electricity larceny user judgment method based on electricity utilization collection big data. The method comprises: acquiring all statistical line loss rates of a transformer area / line from commissioning to current; calculating a daily statistical line loss rate standard value of the transformer area / line according to the statistical line loss rate of the transformer area / line, and searching a high-loss occurrence time period; obtaining the daily power consumption change of the transformer area / line user in the high-loss occurrence time period, and searching the suspected electricity stealing time period of the user; segmenting the suspected electricity stealing time period, obtaining the electricity utilization characteristics of each segment, and judging whether each segment is valid or not according to the normal electricity utilization characteristics and the electricity utilization characteristics of each segment; and in response to the fact that the at least one segment is valid, determining that the user is an electricity stealing user. The method only depends on the daily electricity consumption data of the user, has low requirements on the quality of the acquired data, is simple in calculation during analysis and low in resource demand, and is a widely applicable electricity stealing user pre-judgment method.

Description

Technical field[0001]The present invention relates to a method of determining a stealing user judgment based on the electricity collection of large data, belonging to the field of stealing user judgment in the power industry.Background technique[0002]At present, power companies have achieved automatic collection of electricity users by using electricity information collection systems, and the collection frequency gradually develops from daily freezing data to every hour, one data per 15 minutes, collecting content on the basis of power data Expanding the voltage and other AC analog data, working data, and power quality output statistics. There are more and more data acquisition, resulting in electricity information collection system data growth in GB or even PB levels per month. In response to the long-standing stealing stealing, the user's electricity behavior is further standardized, ensuring power supply order, and power enterprises use the data of collecting accumulation, and ha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R11/24
CPCG01R11/24Y02D10/00
Inventor 覃华勤韩雨马先芹唐思萌许可赫兰鹏杨飞
Owner BEIJING KEDONG ELECTRIC POWER CONTROL SYST
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