Application of data analytics for information retrieval from a typical DSO's database

This paper introduces the reasons for big data analytics in distribution network studies and potential benefits it could give. Summary of the most common data mining methods used in power system studies is also given, followed by a comparative analysis. A use case is shown at the end in order to present some examples of extraction of useful information from raw data stored in a real distribution utility's database. This was done by using some of the basic data mining methods applied to different types of attributes describing distribution system feeders in 11 kV and 6.6 kV network. The initial results showed that the usefulness of information depends on the level of data aggregation, as well as the choice of data analytics method.