Distribution network index analysis method and system based on big data

Abstract

The invention discloses a distribution network index analysis method and a distribution network index analysis system based on big data. The method comprises the following steps of: collecting and sending the operation data of a public transformer to an electric power information acquisition system, and then storing the operation data of the public transformer in a distributed memory; calculatingthe access information of the metamorphic unit and the number of the metamorphic units based on the parallel computing framework of the distributed memory and the metamorphic operation data. The modelof each analysis index is established, and the values of each analysis index are calculated by using the parallel computing framework of distributed memory and the access information of public transformer and the number of public transformers in each unit. According to the calculated value of each analysis index, the distribution network index analysis is completed. The invention utilizes HBase to store the operation data of the public transformer, and relies on the efficient analysis of the actual effect of the distributed memory parallel calculation framework to the data, through the macroscopic control of the public transformer collection rate, the access time rate and the integrity rate, the defects of the electric network operation collection data can be found in time.

Description

technical field [0001] The invention belongs to the field of distribution network index analysis, and in particular relates to a big data-based distribution network index analysis method and system. Background technique [0002] The distribution network is at the end of the entire power grid, and it is the window of the power enterprise to the society. The operation and management of the distribution network is directly related to thousands of households, and its social responsibility and influence are huge. With the continuous development of society, higher and higher requirements are put forward for the lean management of distribution network. The distribution network has the characteristics of many points, long lines, and wide areas. With the development of power consumption information systems and the increasingly advanced collection devices, most public distribution transformers in the distribution network have the conditions to collect current, voltage, and power. Effe...

AI Technical Summary

Problems solved by technology

However, with the gradual accumulation of public change operation data, traditional analysis methods are becoming increasingly weak. Therefore, an analysis method that