Hierarchical load identification system and method suitable for low-voltage transformer area

Abstract

The invention discloses a hierarchical load identification system and method suitable for a low-voltage transformer area, and belongs to the technical field of advanced measurement. The system comprises a meter box sensing layer and a transformer area sensing layer, wherein the meter box sensing layer comprises an intelligent Internet of Things electric energy meter and a secondary acquisition terminal; the intelligent Internet of Things electric energy meter is connected with a low-voltage user, collects power consumption data of the low-voltage user, performs fine-grained load identification on the power consumption data, and obtains state information of the low-voltage user; the secondary acquisition terminal receives the state information acquired by the intelligent Internet of Things electric energy meter and uploads the state information to a transformer area sensing layer; the transformer area sensing layer comprises a first-level acquisition terminal; and the first-level acquisition terminal receives the state information, performs data fusion and edge computing on the state information, acquires identification data, and performs load identification by using the identification data. According to the invention, full-state sensing of the low-voltage transformer area is realized through deployment of two layers of sensing terminals.

Description

technical field [0001] The present invention relates to the field of advanced measurement technology, and more specifically, relates to a load identification system and method suitable for the stratification of low-voltage platforms. Background technique [0002] With the continuous implementation of the ubiquitous power Internet of Things concept in power grid construction and the deepening of smart grid in the field of low-voltage distribution network, the intelligent sensing equipment in low-voltage station area is facing more and more new demands, while the existing low-voltage station area has long-term There is confusion in the connection files of line change households, which greatly limits the realization of functions such as line loss and power failure location. The level of active fault perception is low, and fault location is not accurate. It is impossible to identify indoor and outdoor power failure accidents and the repair time is long. The abnormal location of l...

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Problems solved by technology

[0002] With the continuous implementation of the ubiquitous power Internet of Things concept in power grid construction and the deepening of smart grid in the field of low-voltage distribution network, the intelligent sensing equipment in low-voltage station area is facing more and more new demands, while the existing low-voltage station area has long-term There is confusion in the connection files of line change households, which greatly limits the realization of functions such as line loss and power outage location. The level of fault active perception is low, fault location is inaccurate, indoor and outdoor power outages cannot be identified and the repair time is long, and the location of line loss abnormalities is automated. A series of outstanding problems such as low level and low level of user electricity consumption behavior collection

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