SUBSYSTEM OF COLLECTION, STORAGE AND VISUALIZATION OF OPERATING DATA OF THE DECISION SUPPORT SYSTEM FOR MICROGRID MANAGEMENT

Abstract

The paper states that the introduction of various types of renewable energy sources into energy systems turns them into complex cyber technical systems and come to growing complexity of interaction processes in such technical energy systems increases the complexity of the management process. The complexity of management is especially increased when such an energy system is operated as a microgrid because in this case, and effective management is possible only if the decision-maker will have quality information support and be able to fully monitor all information flows. To ensure the efficient operation of the microgrid, it is necessary to collect and use in the analysis process data on the current state of the power system, on the parameters of the environment. The monitoring process must be performed in real-time.  The difficulty of data collection is that the data comes from different sources and at different time intervals. To ensure the data collection process, a functional and mathematical model is proposed, which describes the process of pre-processing a large amount of collected data, their verification, and storage. Data exchange and storage for the monitoring process are provided by the operational database, the logical scheme of which is also proposed in this paper. For the successful formation of the solution, a large amount of controlled data and the results of forecasting the production and consumption of electricity are proposed to be implemented as a subsystem of visualization. It is the combination of operational monitoring of the current state of the power system with the decisions of intelligent decision support services through the operational database that provides the decision-maker with a convenient visualized form of information about the current state of the system and the optimal configuration of resource planning and use services plan.