Research and implementation of key technologies for electric distribution data analysis

Abstract

The application of electric distribution in various fields of society is very common and indispensable. It has become one of the most important indicators to measure a country's comprehensive national strength. The level of electric service has a very important impact on the production and quality of life of the whole society. With the continuous expansion of the scope of electric index analysis, the traditional electric index analysis tools can no longer meet the needs of massive electric big data analysis, and the rise of big data technology provides an effective solution. This paper first introduces the definition, measurement indicators and common theoretical analysis methods of electric distribution data analysis. Based on the introduction of electric data analysis technology, it analyzes the development trend of electric quality analysis in the big data environment. Then, according to the characteristics of electric data of distribution network, an electric quality big data storage scheme based on Mongo DB is proposed, a power big data processing flow is designed, and a electric big data computing framework based on apache spark is built. On the basis of completing the construction of electric big data of distribution network, this paper expounds the overall design idea, system framework design and system function module design of electric data analysis system and gives the design scheme of electric quality analysis system based on B/S four tier architecture.