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Energy management within a non-autonomous microgrid through a tertiary controller

The present paper focuses on the energy management within an autonomous microgrid with generation and demand forecasting. The objective is to find the optimal dispatch of energy which maximizes the benefit. Such energy comes from renewable sources, storage devices or from the main power grid. A unified model of the microgrid, operated in non-autonomous mode, has been developed. The aim of this paper consists of optimizing the economic energy dispatch within the microgrid considering known predictions of electricity demand, solar radiation and wind speed for a period, T. The optimal power flows (OPF) is obtained using two different algorithms provided by the MATLAB® optimization toolbox: the interior point method (fmincon) and a direct search with interior point (patternsearch-IP). The case study considers the microgrid connected to the main power system with photovoltaic panels, wind turbines and batteries for energy storage; the power supplied by the grid is mostly due to the size of each renewable source, but it is possible to see the contribution of the microgrid in the cost graphics.