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Titel: Real-time power balancing in photovoltaic-integrated smart micro-grid
VerfasserIn: Minhas, Daud Mustafa
Khalid, Raja Rehan
Frey, Georg
Sprache: Englisch
Titel: Proceedings IECON 2017 - 43nd Annual Conference of the IEEE Industrial Electronics Society : China National Convention Center, Bejing, China, 29 October-01 November, 2017
Startseite: 7469
Endseite: 7474
Verlag/Plattform: IEEE
Erscheinungsjahr: 2017
Erscheinungsort: Piscataway
Konferenzort: Beijing, China
Freie Schlagwörter: Real-time systems
Batteries
Uncertainty
Supply and demand
Optimization
Load modeling
Mathematical model
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: The conceptual framework of future power grid incorporates self-automated power flow components. It incorporates high penetration of intermittent renewable energy and variable users' load demands. To establish an efficient real-time power flow mechanism, a realization of the exact amount of energy generation and consumption is inevitable. Hence, we propose a novel framework of a smart micro-grid (SMG), that keeps balance among generation and consumption. It empowers day-ahead supply and demand prediction mechanism along with real-time intelligent energy management (IEM) system. Practically, day-ahead predictions are attained with certain level of errors. These errors are due to the difference in predicted and measured data, also known as uncertainties. Lyapunov optimization under various IEM strategies using flexible loads and battery storage is considered to exploit these uncertainties. The proposed scheme comprises of subsequent steps: 1) the day-ahead predicting solar power and user load demands; 2) the day-ahead procurement of grid power to balance the overall load demands; 3) differentiating real-time uncertainties into user's unused excess power and unserved load demands; 4) real-time balancing of supply and demands by scheduling flexible loads and battery storage, considering the cost effective SMG operations. Our IEM system effectively demonstrates the results of the proposed framework by balancing the user demand arrivals with various energy supplies.
DOI der Erstveröffentlichung: 10.1109/IECON.2017.8217308
URL der Erstveröffentlichung: https://ieeexplore.ieee.org/document/8217308
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-366247
hdl:20.500.11880/33268
http://dx.doi.org/10.22028/D291-36624
ISBN: 978-1-5386-1127-2
978-1-5386-1128-9
Datum des Eintrags: 5-Jul-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Georg Frey
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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