Hierarchical energy management system for microgrid operation based on robust model predictive control

Hierarchical energy management system for microgrid operation based on robust model predictive control

Marín, Luis Gabriel (Universidad de los Andes; Cycle System S.A.S; Universidad de Chile)
Sumner, Mark (University of Nottingham)
Muñoz-Carpintero, Diego (Universidad de O’Higgins; Universidad de Santiago de Chile)
Köbrich, Daniel (Universidad de Chile)
Pholboon, Seksak (University of Nottingham)
Sáez, Doris (Universidad de Chile)
Nunez, Alfredo (TU Delft Railway Engineering)

2019-11-22

This paper presents a two-level hierarchical energy management system (EMS) for microgrid operation that is based on a robust model predictive control (MPC) strategy. This EMS focuses on minimizing the cost of the energy drawn from the main grid and increasing self-consumption of local renewable energy resources, and brings benefits to the users of the microgrid as well as the distribution network operator (DNO). The higher level of the EMS comprises a robust MPC controller which optimizes energy usage and defines a power reference that is tracked by the lower-level real-time controller. The proposed EMS addresses the uncertainty of the predictions of the generation and end-user consumption profiles with the use of the robust MPC controller, which considers the optimization over a control policy where the uncertainty of the power predictions can be compensated either by the battery or main grid power consumption. Simulation results using data from a real urban community showed that when compared with an equivalent (non-robust) deterministic EMS (i.e., an EMS based on the same MPC formulation, but without the uncertainty handling), the proposed EMS based on robust MPC achieved reduced energy costs and obtained a more uniform grid power consumption, safer battery operation, and reduced peak loads.

Energy management system
Hierarchical control
Microgrid
Prediction interval
Predictive control
Robust control
Uncertainty

http://resolver.tudelft.nl/uuid:68046612-f9eb-4917-9cf0-f809b382447d

https://doi.org/10.3390/en12234453

1996-1073

Energies, 12 (23)

Institutional Repository

journal article

© 2019 Luis Gabriel Marín, Mark Sumner, Diego Muñoz-Carpintero, Daniel Köbrich, Seksak Pholboon, Doris Sáez, Alfredo Nunez