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• W2976814892 abstract "This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid." @default.
• W2976814892 created "2019-10-03" @default.
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• W2976814892 date "2019-09-01" @default.
• W2976814892 modified "2023-10-17" @default.
• W2976814892 title "Effect of the Integration of Disturbances Prediction in Energy Management Systems for Microgrids" @default.
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• W2976814892 doi "https://doi.org/10.1109/sest.2019.8849047" @default.
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