Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model
Author
dc.contributor.author
Valencia, Felipe
Author
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Collado, Jorge
Author
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Sáez García, Doris
Author
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Marín, Luis G.
Admission date
dc.date.accessioned
2016-10-07T15:31:43Z
Available date
dc.date.available
2016-10-07T15:31:43Z
Publication date
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2016
Cita de ítem
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IEEE Transactions on Smart Grid, vol. 7, no. 3, may 2016
es_ES
Identifier
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10.1109/TSG.2015.2463079
Identifier
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https://repositorio.uchile.cl/handle/2250/140690
Abstract
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Microgrids have emerged as an alternative to alleviate increasing energy demands. However, because microgrids are primarily based on nonconventional energy sources (NCES), there is high uncertainty involved in their operation. The aim of this paper is to formulate a robust energy management system (EMS) for a microgrid that uses model predictive control theory as the mathematical framework. The robust EMS (REMS) is formulated using a fuzzy prediction interval model as the prediction model. This model allows us to represent both nonlinear dynamic behavior and uncertainty in the available energy from NCES. In particular, the uncertainty in wind-based energy sources can be represented. In this way, upper and lower boundaries for the trajectories of the available energy are obtained. These boundaries are used to derive a robust formulation of the EMS. The microgrid installed in Huatacondo was used as a test bench. The results indicated that, in comparison with a nonrobust approach, the proposed formulation adequately integrated the uncertainty into the EMS, increasing the robustness of the microgrid by using the diesel generator as spinning reserve. However, the operating costs were also slightly increased due to the additional reserves. This achievement indicates that the proposed REMS is an appropriate alternative for improving the robustness, against the wind power variations, in the operation of microgrids.
es_ES
Patrocinador
dc.description.sponsorship
Fund for Research Centers in Priority Areas Project Solar Energy Research Center Chile
15110019
National Fund for Science and Technology
1140775
Complex Engineering Systems Institute
ICM: P-05-004-F
CONICYT: FBO16