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Low-voltage transformer district user phase identification method based on voltage curve similarity analysis

A technology of phase identification and low-voltage station area, applied in data processing applications, instruments, calculations, etc., can solve problems such as high cost and low efficiency of user phase identification, and achieve the effect of solving low accuracy.

Active Publication Date: 2018-09-21
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps gather more accurate usage patterns for users' electrical energy needs by analyzing their power curves over time. It allows us to automatically recognize when there’s an issue or potential hazard related to managing this demand accurately. By doing that we aim to improve our ability to manage household appliances efficiently while also addressing issues like poor indoor air quality caused by excessive lightning strikes during winter months.

Problems solved by technology

This patented describes an improved way to identify users who have heavily loaded or uneven electrical usage by identifying their own phases based only upon measured voltages from the current location. However, existing methods require human labor and materials resource intensive analysis.

Method used

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  • Low-voltage transformer district user phase identification method based on voltage curve similarity analysis
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  • Low-voltage transformer district user phase identification method based on voltage curve similarity analysis

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Embodiment Construction

[0039]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the drawings of the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention belong to the protection scope of the present invention.

[0040] In the distribution network, the voltage is often fluctuating due to the uncertainty of the load everywhere. The voltage fluctuation curves of loads with relatively close electrical distances are relatively similar (high correlation), while the similarity of voltage fluctuation curves of loads with relatively long electrical distances is relatively low (low correlation). The similari...

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Abstract

The invention relates to the field of topological structure identification of a low-voltage power distribution network and particularly relates to a low-voltage transformer district user phase identification method based on smart meter voltage curve similarity analysis. The method comprises a step of extracting a transformer district transformer and the smart meter voltage sequence data of a userfrom power consumption information collection system, a step of calculating a DTW distance between different user voltage sequences and calculating a local outlier factor of each user based on the DTWdistance and judging whether the connection relationship of the transformer district of the user is correct or not, and a step of calculating the DTW distance between each user of a correct transformer district transformer connection relationship and A, B and C phase voltage sequences of the transformer district transformer, wherein the user phase is a phase with a smallest DTW distance in the A,B and C phases. According to the method, the low-voltage transformer district user phase identification can be carried out in an online way, the manual on-site patrol is not needed, and the problemsof low recognition accuracy, low work efficiency and high cost of the low-voltage transformer district user phase identification are effectively solved.

Description

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Claims

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Application Information

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Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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