Please use this identifier to cite or link to this item: doi:10.22028/D291-36452
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Title: Battery management system in isolated microgrids considering forecast uncertainty
Author(s): Hijjo, Mohammed
Frey, Georg
Language: English
Title: The Ninth International Renewable Energy Congress : 2018 9th International Renewable Energy Congress (IREC) : March 20-22, 2018, Hammamet, Tunisia
Publisher/Platform: IEEE
Year of Publication: 2018
Place of publication: Piscataway
Place of the conference: Hammamet, Tunisia
Free key words: Generators
Microgrids
Batteries
Mathematical model
Fuels
Switches
Power generation
DDC notations: 500 Science
Publikation type: Conference Paper
Abstract: Microgrids are gaining a significant interest as a promising solution to handle several electricity-related issues worldwide. Isolated Microgrids as one of the most applied topologies in the emergency power supplying systems, essentially incorporate battery storage system (BSS), acting as a stabilizing agent by balancing the unmet power for the system. Moreover, BSS is playing a great role in the context of energy cost minimizing of the system. This work proposes an adaptive operation policy for BSS in an isolated microgrid incorporating conventional generation (e.g. Diesel Generator) and Renewable resources (e.g. PV solar array) in addition to BSS, based on the driven forecast. Yet, it handles the uncertain prediction of both renewable generation and load profile. More precisely, an offline optimal policy of charging and discharging of BSS is firstly derived assuming a perfect prediction and the algorithm then responds instantaneously to act upon the actual changes of the given forecast. The simulation results show a significant reduction of the total operation cost, even in the worst case scenario, when compared with the blind method which does not employ the prediction.
DOI of the first publication: 10.1109/IREC.2018.8362461
URL of the first publication: https://ieeexplore.ieee.org/document/8362461
Link to this record: urn:nbn:de:bsz:291--ds-364526
hdl:20.500.11880/33095
http://dx.doi.org/10.22028/D291-36452
ISBN: 978-1-5386-0998-9
978-1-5386-0999-6
Date of registration: 13-Jun-2022
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Georg Frey
Collections:Die Universitätsbibliographie

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