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TCST
2016

Robust Energy Management System Based on Interval Fuzzy Models

7 years 11 months ago
Robust Energy Management System Based on Interval Fuzzy Models
—Energy management systems (EMSs) are used for operators to optimize, monitor, and control the performance of a power system. In microgrids, the EMS automatically coordinates the energy sources aiming to supply the demand. The coordination is carried out considering the operating costs, the available energy, and the generation and transmission capabilities of the grid. With this purpose, the available energy of the sources is predicted, and the operating costs are minimized. Thereby, an optimal operation of the microgrid is achieved. Often, the optimization procedure is executed throughout a receding horizon (model predictive control approach). Such approach provides some robustness to the microgrid operation. But, the high variability of the nonconventional energy sources makes the prediction task very complex. As a consequence, the reliable operation of the microgrid is compromised. In this paper, a scenario-based robust EMS is proposed. The scenarios are generated by means of fuzz...
Felipe Valencia, Doris Sáez, Jorge Collado,
Added 10 Apr 2016
Updated 10 Apr 2016
Type Journal
Year 2016
Where TCST
Authors Felipe Valencia, Doris Sáez, Jorge Collado, Fernanda Avila, Alejandro Marquez, Jairo Jose Espinosa
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