Research on Storage and Processing Method for Renewable Energy Big Data

Abstract

With the development of renewable energy, the amount of renewable energy data is growing rapidly. Renewable energy data is either large in volume or low in value density. Traditional data processing methods cannot meet the rapid query for state monitoring, evaluation and prediction. The need for power system analysis using renewable energy big data is thus urgent. This paper studies the storage and processing methods of big data in power systems with high proportion of renewable energy. Based on the analysis of renewable energy data characteristics and distributed data storage methods, this paper presents a general processing and storage framework for renewable energy big data.