Fuzzy Models for Managing a Micro Grid PV System

In this paper, models of two fuzzy inference systems for supporting the process of managing micro grid PV systems are presented. The first model is for managing a PV/battery micro grid connected system and uses fuzzy mapping of three input variables: power produced by PV panels, power in battery and consumed power. The output of the FIS, obtained after applying the fuzzy rules, is a decision for choosing which power source is to be used. The second model consists of one additional energy source (diesel generator/fuel cell) and thus the input variables are four. The simulation tests are conducted in MatLab. This research is part of a project for optimizing the energy consumption of a building with the use of independent alternative renewable energy sources. The input test data for the optimization are the amount of used energy for lighting, heating, computers power supply and other needs of one particular building (the building of Burgas Free University) and the corresponding price of each of the used energy sources.