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doi:10.22028/D291-36327
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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