Error analysis method and system of low-voltage transformer area use and acquisition system, equipment and storage medium

Abstract

The invention discloses an error analysis method and system for a low-voltage transformer area use and acquisition system, equipment and a storage medium. The method divides the whole transformer area into three levels of error evaluation areas, namely, a general meter area, a branch area and a meter box area, and the general meter area and the meter box area have the characteristics of few nodes, simple lines and negligible line loss. An error analysis result of each branch node in the general meter area and the meter box area is quickly and accurately calculated by adopting an electric quantity algorithm. The branch area is characterized in that the number of nodes is large, lines are complex, and line loss cannot be neglected, a load step feature value algorithm is adopted, matching is conducted through load step feature values of the branch nodes in the branch area and the total node, and then the relative error of the branch nodes in the branch area is calculated based on the matching result. According to the whole error analysis scheme, error calculation is carried out through step-by-step transmission from top to bottom, relative errors of all nodes of the whole transformer area can be rapidly and accurately constructed, and real-time online detection can be achieved.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps analyze errors at different stages within an electrical power network (EP) efficiently while reducing complexity. It uses various techniques such as partial tables or histograms for dividing up large areas called sections. These methods help identify specific parts where there may have problems during operation due to factors like voltage drop caused by wires connecting multiple devices together. Overall, this technique improves efficiency and reliability in EP systems.

Problems solved by technology

Technological Problem: Current methods used by electrical utilities are limited due to lack of accurate monitoring capabilities at certain areas or nodes within their network. Additionally, current systems require manual analysis from multiple sources which may lead to imprecise assessments overall making it difficult to accurately identify any issues with individual components during operation without significant costly human effort.

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