MANZANO CRESPO, JOSÉ MARÍA, SALVADOR ORTIZ, JOSÉ RAMÓN, ROMAINE, JAMES BRIAN, ALVARADO BARRIOS, LÁZARO

No

Renew. Energy

Article

Científica

✓

✓

8.7

1.815

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131404799&doi=10.1016%2fj.renene.2022.05.103&partnerID=40&md5=1c5fa04ae3559733721c6be6ad8dcaaa

01/07/2022

000810187900011

2-s2.0-85131404799

10.1016/j.renene.2022.05.103

In this work, the operation of microgrids is studied, using real data for demand and renewable energy sources. A mixed integer nonlinear program to operate the microgrid is proposed, following a model predictive control methodology, which allows to enhance the economic performance by means of a predictive strategy. A comparison with other techniques without predictive feature nor forecast mismatches is made, showing that our method outperforms them by adapting the current control decision to future costly issues. The case study shows savings of more than 10%, analysing the qualitative aspects of the proposed strategy. (c) 2022 Elsevier Ltd. All rights reserved.

Microgrid; Economic dispatch; Predictive control; Real data; Forecast mismatch

• LÁZARO ALVARADO BARRIOS
• JOSÉ RAMÓN SALVADOR ORTIZ
• JOSÉ MARÍA MANZANO CRESPO