A low-voltage distribution network topology and line impedance identification method in Taiwan area

Abstract

A low-voltage distribution network topology and line impedance identification method in a station area belongs to the technical field of low-voltage distribution networks. In this method, an edge computing terminal and several electrical measuring devices are firstly added to the low-voltage distribution network in the station area; each time the topology of the low-voltage distribution network in the station area is identified, according to the power line carrier communication relationship between the measuring device and the edge computing terminal , to determine the ownership relationship of the measurement device station area and the phase difference of the communication access phase. After time synchronization between each measurement device and the edge computing terminal, the voltage and current waveforms are sampled and uploaded to the edge computing terminal. The edge computing terminal identifies the same Busbar measurement device and upper-level busbar measurement device; after multiple topology identifications, the final topology identification result is obtained and impedance calculation is performed. The invention has high accuracy and high speed for identifying the topology and line impedance of the low-voltage distribution network, fully utilizes the information collection ability of the intelligent equipment of the low-voltage distribution network, has low equipment cost, and has no influence on the power quality.

Description

technical field [0001] The invention belongs to the technical field of low-voltage distribution networks, and in particular relates to a low-voltage distribution network topology and a line impedance identification method in a station area. Background technique [0002] The topological relationship of the low-voltage distribution network in the station area is the basis for the development of intelligent business of the low-voltage distribution network in other station areas, which can help to solve various power grid services such as accurate determination of the power outage range and line loss statistics. With the construction of the smart grid, the switches, monitoring terminals and other equipment of the low-voltage distribution network in the Taiwan area are equipped with voltage and current collection and external communication capabilities. [0003] The low-voltage distribution network in the Taiwan area has the characteristics of wide distribution and complex topolo...

AI Technical Summary

Problems solved by technology

[0004] Obtaining the topology of the low-voltage distribution network in the station area manually is laborious and difficult to guarantee accuracy

[0005] By installing a power line carrier communication method at the meter, only the relationship between the user and the transformer, and the phase-splitting relationship of the user can be identified, and it is difficult to identify the branch relationship of the distribution box equipment in the low-voltage power distribution, the affiliation of the equipment, and the upstream and downstream relationship of the line

[0006] By injecting signals into low-voltage equipment, it can solve the branch relationship identification of low-voltage distribution network, but it has the disadvantages of high equipment cost and the impact of injected signals on power quality

[0007] Through the minute-level voltage and current effective value information of the operating equipment, the branch relationship of the low-voltage distribution network can be identified, but there are disadvantages of low accuracy and long time consumption

[0008] However, the existing low-voltage line impedance identification method is generally based on the existing topological information, but the topological relationship of the low-voltage station area is generally not available in the actual situation, so low-voltage line impedance identification cannot be carried out.

Moreover, the existing impedance identification method is mainly calculated based on the voltage, current effective value and power value collected by each node. Due to the lack of simultaneity in data collection, it is easy to cause a large error in the calculated line impedance due to some random interference factors.

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