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/Subject (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.)
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Luis Gabriel Marín, Mark Sumner, Diego Muñoz-Carpintero, Daniel Köbrich, Seksak Pholboon, Doris Sáez and Alfredo Núñez
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.
Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control
2019-11-22T18:52:18+08:00
LaTeX with hyperref package
2019-12-16T10:17:57+01:00
2019-12-16T10:17:57+01:00
hierarchical control; robust control; predictive control; microgrid; uncertainty; prediction interval; energy management system
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