Electric energy data estimation method

Abstract

The invention relates to an electric energy data estimation method which comprises the following steps of: (1) original sample data collection and analysis: collecting and preprocessing all court data of a power supply company; (2) classifying all the court data of the power supply company according to court characteristics by using a K-means clustering method, and dividing the courts in the administrative region of the power supply company into K' types with different characteristics; (3) associating each type of typical court basic data with a predicted value, and establishing a mathematical prediction model by using a linear regression method; and (4) inputting the data to be predicted into a model to obtain and output a reasonable required predicted characteristic data predicted value so as to obtain the reasonable required predicted characteristic data predicted value of each type of court. The electric energy data estimation method provides effective assistance for power supply operation by outputting reasonable required predicted characteristic data predicted value.

Description

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

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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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