Context Data Analysis For Microgrid Control System

Kyselova A.

Over the past few decades the energy demand has been continuously increasing (both in industrialized and in emerging countries) and the control systems for renewable sources and electrical loads have become much more sophisticated. Through the last years we have seen increased interest in the area of Microgrid control system. Today they are highly distributed, can manage large amounts of energy related data and have to be able to react rapidly (but smartly) when conditions change. The paper describes these challenges and presents data management solutions as a module of context data analysis for Microgrid control system. These solutions include time series forecasting, managing subscriptions for prediction energy supply and demand and analytical query processing past and future context data.

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