Transformer district line loss rate pre-estimation method

Abstract

The invention relates to a transformer district line loss rate pre-estimation method, and the method comprises following steps: 1, original sample data collecting, analyzing and processing: all transformer district data of a power supply company is collected and pre-processed; 2, a K-means clustering method is adopted to classify all transformer district data of the power supply company according to transformer district features, and the transformer districts in the administrative region of the power supply company is divided into K' class groups with different features; 3, basic data and a predicted value of each class of typical transformer district are associated, and a mathematical prediction model is established through a way of linear regression; 4, to-be-predicted data is inputted to the model, and an output reasonable required prediction feature data predicted value is obtained, so that a reasonable required prediction feature data predicted value of each class of transformer district is obtained. According to the invention, the method provides effective auxiliary for power supply work through the output reasonable required prediction feature data predicted value.

Description

technical field [0001] The invention relates to the field of power system informatization and automation, in particular to electric energy data processing and statistical analysis research. Background technique [0002] With the continuous improvement of power system informatization and automation level and the development of computer technology, power grid data, as an intuitive display that comprehensively reflects the planning, design, production operation, and management level of power supply companies, is the focus of daily management work of power supply companies. important content. Reasonable analysis, processing and utilization of massive power grid data can bring considerable economic and social benefits. [0003] Taking the application of the data prediction model to the line loss as an example, the line loss management in the station area analyzes and predicts the unreasonable line loss by comparing the difference between the theoretical line loss and the actual ...

AI Technical Summary

Problems solved by technology

[0004] 1) Adopting a one-size-fits-all approach, manually setting a reasonable line loss rate in the station area, lacks scientific basis, and is far from the goal of lean management

[0005] 2) The calculation of theoretical line loss in the station area is mainly based on the calculation method of power flow, but due to the complexity of the lower branch lines in the low-voltage station area, various components, and incomplete equipment account data, the calculation of theoretical line loss will be very complicated

[0006] 3) The number of stations under the jurisdiction of the power supply company is huge, and they are quite different from each other, so they cannot be managed in a unified way

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