Transformer area identification method and system based on signal-to-noise ratio, storage medium and STA node

Abstract

The invention provides a transformer area identification method and system based on a signal-to-noise ratio, a storage medium and an STA node. The transformer area identification method comprises thefollowing steps: acquiring an SNR value of each neighbor network based on a preset time interval; calculating a network score value of each neighbor network under each preset time interval based on the SNR value; for any two neighbor networks, carrying out weighted summation on the network score difference values of the two neighbor networks at each preset time interval within a preset duration away from the current time to obtain a network evaluation result of the two neighbor networks and determine the neighbor network with a relatively large network evaluation result; and determining the largest neighbor network in the network evaluation results in all neighbor networks as a transformer area to which an STA node belongs. According to the transformer area identification method and systembased on the signal-to-noise ratio, the storage medium and the STA node, stability calculation of the SNR value is achieved based on time statistics, the weight concept is introduced, it is ensured that the STA still has good discrimination at the tail ends of multiple neighbor networks, and the accuracy of transformer area identification is improved.

Description

technical field [0001] The invention relates to the technical field of power carrier communication, in particular to a method, system, storage medium and STA node for identifying a station area based on a signal-to-noise ratio. Background technique [0002] In the power system, the station area refers to the power supply range or area of ​​(one) transformer. In the business management of the low-voltage distribution network, the power management department often needs to check user files to ensure that the files are accurate and provide correct management data for marketing management, including user file ownership, network topology, and user equipment power consumption. Phase and working phase sequence and so on. Accurate establishment of household substation relationships in the station area is beneficial to line loss management in the station area and improves the economic operation level of the power grid; at the same time, it can eliminate the configuration of the whit...

AI Technical Summary

Problems solved by technology

If it is judged according to the real-time SNR statistical method, it will be found that the nodes belong to the non-station area within a certain period of time in a day, which cannot meet the needs of accurately determining the relationship between the station area and the household.

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