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Titel: Rolling Horizon Based Time-Triggered Distributed Control for AC/DC Home Area Power Network
VerfasserIn: Minhas, Daud Mustafa
Frey, Georg
Sprache: Englisch
Titel: IEEE transactions on industry applications
Bandnummer: 57
Heft: 4
Startseite: 4021
Endseite: 4032
Verlag/Plattform: IEEE
Erscheinungsjahr: 2021
Freie Schlagwörter: Batteries
Robust control
Jitter
Wireless communication
Voltage control
Load modeling
Job shop scheduling
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: An energy-efficient smart home generally integrates renewable energy sources (RESs) with intelligent energy devices (IEDs) to make itself cost-efficient. However, the stochastic nature of the RESs and IEDs makes the power network uncertain, and it degrades the economic efficiency of the smart home. Hence a co-simulation based intelligent home energy management system (HEMS) is proposed in this article. It interconnects the rolling horizon-based model predictive energy scheduling mechanism with robust control strategies. It manages the load following energy supply entities (ESEs) optimally and efficiently. A time-ahead scheduler integrates an optimal algorithm to estimate the cost-optimal (e.g., minimizing total energy cost) decision signals for various ESEs by incorporating component based losses and efficiencies. Besides, a real-time distributed robust control strategy is established executing a coordinated energy sharing mechanism by incorporating an auxiliary power source. Time-triggered low-jitter wireless communication architecture is adopted to transfer the optimal decision signals from the central scheduler to the distributed device level local controller. A scenario based comparison of various ac/dc models of a home area power network evaluates the strength of the prospective HEMS.
DOI der Erstveröffentlichung: 10.1109/TIA.2021.3074901
URL der Erstveröffentlichung: https://ieeexplore.ieee.org/document/9410391
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-363274
hdl:20.500.11880/33033
http://dx.doi.org/10.22028/D291-36327
ISSN: 0093-9994
1939-9367
Datum des Eintrags: 8-Jun-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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