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

Luis O. Polanco Vásquez, Víctor M. Ramírez, Diego Langarica Córdova, Juana López Redondo, José Domingo Álvarez and José Luis Torres-Moreno
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Luis O. Polanco Vásquez: Unidad de Energía Renovable, Centro de Investigación Científica de Yucatán AC., Mérida 97205, Mexico
Víctor M. Ramírez: Unidad de Energía Renovable, Centro de Investigación Científica de Yucatán AC., Mérida 97205, Mexico
Diego Langarica Córdova: Ingeniería Electrónica, Facultad de Ciencias, UASLP, San Luis Potosí 78295, Mexico
Juana López Redondo: Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain
José Domingo Álvarez: Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain
José Luis Torres-Moreno: Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería-CIEMAT, 04120 Almería, Spain

Energies, 2021, vol. 14, issue 9, 1-16

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

Keywords: microgrid; EMS; MPC; control; simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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