| Title |
Stochastic Unit Commitment in Microgrids based on Model Predictive Control |
| Authors |
ALVARADO BARRIOS, LÁZARO, Boza Valerino, Juan , RODRÍGUEZ DEL NOZAL, ÁLVARO, ESCAÑO GONZÁLEZ, JUAN MANUEL, Martinez-Ramos, Jose L. , Gonzalez-Longatt, Francisco , IEEE |
| External publication |
No |
| Scope |
Capítulo de un Libro |
| Nature |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056510174&doi=10.1109%2fSEST.2018.8495736&partnerID=40&md5=9df095d6ccd14f22c2e1d3baceb556a1 |
| Publication date |
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. |
| Keywords |
Stochastic Unit Commitment; Model Predictive Control; Microgrid |
| Universidad Loyola members |
|
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