Information Technology of Decision-Making Support on the Energy Management of Hybrid Power Grid

Abstract

This paper is devoted to the development of information technology for decision making support when controlling the parameters of the hybrid power grid (HPG), considering the meteorological forecast and changes in the required level electricity generation and consumption in the HPG. The problem of decision making in the HPG management is formed under conditions of uncertainty and incompleteness of input information, therefore, it cannot be considered as an optimization problem, but should be considered as a multidimensional and multiscale problem. In this study, models for the collection and preliminary processing of information, models for determining the level of generation from renewable energy sources (RES), models for forecasting electricity consumption, a model for assessing the quality of electricity and a decision-making model are formed, which constitute the algorithmic and information support of information technology for decision support. Management decisions are made using additional current information on the effectiveness of the established regime, as well as forecast information obtained based on the proposed models.