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Use of model predictive control for experimental microgrid optimization

handle: 11588/910683
In this paper we deal with the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. Microgrids are subsystems of the distribution grid comprising sufficient generating resources to operate in isolation from the main grid, in a deliberate and controlled way. The Model Predictive Control (MPC) approach is applied for achieving economic efficiency in microgrid operation management. The method is thus applied to an experimental microgrid located in Athens, Greece: experimental results show the feasibility and the effectiveness of the proposed approach.
- University Federico II of Naples Italy
- University of Sannio Italy
- Royal Institute of Technology Sweden
- University of Salford United Kingdom
- Center for Renewable Energy Sources and Saving Greece
Optimization, Electric power distribution, Electric power distribution; Microgrid operations; Mixed integer linear programming, Mixed Integer Linear Programming, Mixed integer linear programming, Microgrid operations, Model predictive control, Microgrids
Optimization, Electric power distribution, Electric power distribution; Microgrid operations; Mixed integer linear programming, Mixed Integer Linear Programming, Mixed integer linear programming, Microgrid operations, Model predictive control, Microgrids
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