Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building

An Energy Management System (EMS) that uses a Model Predictive Control (MPC) to manage the flow of microgrids is described in this work. The EMS integrates both wind speed and solar radiation predictors by using time series perform primary grid forecasts. At each sampling data measurement, power photovoltaic system turbine are predicted. Then, MPC algorithm those predictions obtain optimal flows microgrid elements main network. In work, three time-series analyzed. As results will show, strategy becomes powerful energy management tool when it integrated with Double Exponential Smoothing (DES) predictor. This new scheme integrating DES method an presents good response real-time overcomes provided Optimal Power Flow method, which was previously proposed literature. For case studies, test located CIESOL bioclimatic building University Almeria (Spain) used.