Fuzzy predictive model of solar panel for decision support system in the management of hybrid grid

Abstract

This paper describes the features of decision-making process about working modes of hybrid energy grid and indicates tasks, which has to solve the appropriate information system. In order to managing the hybrid electricity grid, it is necessary to have current data and forecast indicators of the functioning of its constituent elements. The fuzzy predictive model of power by solar panel is developed in this research. This model a certain way takes into account the uncertainty associated with both constructive, commutation influences and the impact of predicted insolation and temperature. In the developed model it is possible to use the results of direct measurements of insolation and temperature and the results of their operational forecasting.