Título Stochastic Unit Commitment in Microgrids based on Model Predictive Control
Autores ALVARADO BARRIOS, LÁZARO, Boza Valerino, Juan , RODRÍGUEZ DEL NOZAL, ÁLVARO, ESCAÑO GONZÁLEZ, JUAN MANUEL, Martinez-Ramos, Jose L. , Gonzalez-Longatt, Francisco , IEEE
Publicación externa No
Alcance Capítulo de un Libro
Naturaleza Científica
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056510174&doi=10.1109%2fSEST.2018.8495736&partnerID=40&md5=9df095d6ccd14f22c2e1d3baceb556a1
Fecha de publicacion 01/01/2018
ISI 000450802300051
Scopus Id 2-s2.0-85056510174
DOI 10.1109/SEST.2018.8495736
Abstract This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well as storage devices such as Battery Energy Storage (BES), considering its constraints and the requirements of the reserve generation. For this purpose, a Model-based Predictive Control (MPC), which uses dynamic models of prediction of renewable power and demand in real time, is developed, allowing feedback at each step of time, which corrects the uncertainty of the models. A comparison with a classic UC formulation has been made. The results reach a lower cost solution.
Palabras clave Stochastic Unit Commitment; Model Predictive Control; Microgrid
Miembros de la Universidad Loyola

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