Use of model predictive control for experimental microgrid optimization

Alessandra Parisio, Evangelos Rikos, George Tzamalis and Luigi Glielmo

Applied Energy, 2014, vol. 115, issue C, 37-46

Abstract: 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.

Keywords: Model predictive control; Microgrids; Optimization; Mixed Integer Linear Programming (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (65)

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DOI: 10.1016/j.apenergy.2013.10.027

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