Back to Search
Start Over
A Model Predictive Control-Based Decision-Making Strategy for Residential Microgrids.
- Source :
-
Eng . Mar2022, Vol. 3 Issue 1, p100-115. 16p. - Publication Year :
- 2022
-
Abstract
- This work presents the development of a decision-making strategy for fulfilling the power and heat demands of small residential neighborhoods. The decision on the optimal operation of a microgrid is based on the model predictive control (MPC) rolling horizon. In the design of the residential microgrid, the new approach different technologies, such as photovoltaic (PV) arrays, micro-combined heat and power (micro-CHP) units, conventional boilers and heat and electricity storage tanks are considered. Moreover, electricity transfer between the microgrid components and the national grid are possible. The MPC problem is formulated as a mixed integer linear programming (MILP) model. The proposed novel approach is applied to two case studies: one without electricity storage, and one integrated microgrid with electricity storage. The results show the benefits of considering the integrated microgrid, as well as the advantage of including electricity storage. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MICROGRIDS
*MIXED integer linear programming
*PREDICTION models
*NEIGHBORHOODS
Subjects
Details
- Language :
- English
- ISSN :
- 26734117
- Volume :
- 3
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Eng
- Publication Type :
- Academic Journal
- Accession number :
- 156002103
- Full Text :
- https://doi.org/10.3390/eng3010009