Decision Support System for Efficient Energy Management of Hybrid Power Grid

This paper is devoted to the description of the decision support system (DSS) for efficient control of the hybrid power grid mode parameters, taking into account the forecast of changes in the parameters of generation and consumption of electricity in hybrid microgrid with different types of renewable energy sources (RES). Especially decision-making processes in management are complicated by the need to consider the results of forecasting the level of generation and the level of electricity consumption. The effectiveness of management decisions is determined by ensuring a balance between generation and consumption of electricity and depends, in particular, on the quality of information support of the decision maker. A proposed DSS is designed as web-based software, an element of the power management system and a software add-on to the automated control system of the hybrid power grid (HPG). The analysis of the test results of the effectiveness of DSS has shown positive results wich are reduction in electricity consumption from the centralized grid.