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Reserve Balancing in a Microgrid System for Safety Analysis
Author(s) -
Clemens Kiebler,
Ionela Prodan,
Felix Petzke,
Stefan Streif
Publication year - 2020
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2020.12.804
Subject(s) - microgrid , electric power system , wind power , variable renewable energy , fault (geology) , renewable energy , model predictive control , computer science , control theory (sociology) , reliability engineering , variable (mathematics) , time horizon , work (physics) , power (physics) , engineering , mathematical optimization , control (management) , mathematics , electrical engineering , mathematical analysis , quantum mechanics , geology , mechanical engineering , physics , artificial intelligence , seismology
This work presents a robust MPC (Model Predictive Control) approach for reserve balancing in DC microgrid systems under uncertainties like wind power and energy price variations and different types of fault events. The robust MPC algorithm considers a variable-length prediction horizon which accounts for forecasts in energy price and renewable power over one day. Furthermore, a storage system is used to increase the utility of the demands and minimize the energy costs. The algorithm is tested for multiple fault types which affect the system (line and loss of power faults).

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