Transformer district tail end sensing system and method

Abstract

The invention discloses a transformer district tail end sensing system which comprises a meter box intelligent terminal which is used for monitoring a user end, determining a meter box power failure reason and identifying a user load type, and transmitting the power failure reason and the user load type to a master station, a transformer district intelligent terminal which is installed on one sideof a transformer outgoing line cabinet and is used for monitoring the meter box intelligent terminal and a transformer district, judging transformer district fault information and sending the fault information to the master station, and the master station which is used for receiving the power failure reason and the user load type sent by the meter box intelligent terminal and receiving the faultinformation sent by the transformer district intelligent terminal. According to the invention, two layers of intelligent terminal equipment are adopted to acquire fine-grained power utilization characteristic data, the functions of automatic identification of transformer district topology, transformer district fault positioning and responsibility definition, non-intrusive load identification of users and the like are realized through characteristic identification and a big data algorithm, and the management level of a low-voltage transformer district and a user experience are comprehensively improved.

Description

technical field [0001] The invention relates to the field of smart grid and smart electricity utilization, in particular to a station terminal sensing system and method. Background technique [0002] With the development of smart grids, the growth rate of residents' electricity consumption is accelerating, and there are now problems such as a large number of residential electricity users, complex electricity consumption behaviors, difficult fault location, and low level of grid monitoring, including the following aspects: [0003] (1) The level of active perception of faults in residential station areas is low, and the troubleshooting time is long. The technical level of power outage fault handling in residential areas is still in the passive repair stage, and there are still problems such as inaccurate positioning and low level of accident responsibility identification; (2) The state perception level of the power grid in the station area is low, and the coverage of power qu...

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Problems solved by technology

The technical level of power outage fault handling in residential areas is still in the passive repair stage, and there are still problems such as inaccurate positioning and low level of accident responsibility identification; (2) The state perception level of the power grid in the station area is low, and the coverage of power quality monitoring equipment is limited. Poor real-time performance, insufficient ability to collect and analyze power quality data at the end of the grid (incoming lines of residential users), common problems such as unbalanced three-phase, high load rate, low voltage, excessive reactive power, etc., and lack of intelligent data analysis ; (3) Residential users have a low level of perception of power consumption status, and the existing technology has not deeply explored the value of fine-grained power consumption behavior data, and has not realized the identification of user power consumption load

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