Distribution network equipment running state analysis method and device based on big data

Abstract

The invention discloses a distribution network equipment running state analysis method based on big data, which comprises the following steps: collecting distribution load data and synchronizing to Hive data warehouse; Based on the big data technology, the quality of the load data of distribution transformer collected by electricity information is checked. From Hive data warehouse, according to the load balancing strategy, load the data of transportation inspection equipment account, marketing equipment account and power consumption information into the working nodes of the big data platform.According to the heavy overload, low voltage and three-phase unbalance calculation model, the working nodes analyze the running state of distribution network equipment. According to the results of index analysis completed by each work node, the overall operation status analysis of distribution network is completed. A device for implementing the method is also provided, comprising a data acquisition, synchronization, repair, loading and analysis module. The invention controls the macroscopic operation state of the distribution network in real time by calculating the operation indexes of the distribution transformer, such as heavy overload, low voltage, three-phase unbalance, and the like, and improves the power supply reliability and the power supply service quality of the power network.

Description

technical field [0001] The invention belongs to the field of index analysis of distribution network, and in particular relates to a method and device for analyzing the operating state of distribution network equipment based on big data. 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 col...

AI Technical Summary

Problems solved by technology

However, with the gradual accumulation of distribution transformer operation data, traditional analysis methods are becoming increasingly weak. Therefore, an analysis method that can control the overall situation from the source of data and is more conducive to carrying out rectification work and specifying rectification measures is needed.