Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control

Luis Gabriel Marín, Mark Sumner, Diego Muñoz-Carpintero, Daniel Köbrich, Seksak Pholboon, Doris Sáez and Alfredo Núñez
Additional contact information
Luis Gabriel Marín: Department of Electrical Engineering, University of Chile, Santiago 8370451, Chile
Mark Sumner: Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Diego Muñoz-Carpintero: Department of Electrical Engineering, University of Chile, Santiago 8370451, Chile
Daniel Köbrich: Department of Electrical Engineering, University of Chile, Santiago 8370451, Chile
Seksak Pholboon: Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Doris Sáez: Department of Electrical Engineering, University of Chile, Santiago 8370451, Chile
Alfredo Núñez: Section of Railway Engineering, Department of Engineering Structures, Delft University of Technology, 2628CN Delft, The Netherlands

Energies, 2019, vol. 12, issue 23, 1-19

Abstract: 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.

Keywords: hierarchical control; robust control; predictive control; microgrid; uncertainty; prediction interval; energy management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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