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doi:10.22028/D291-30130
Titel: | Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN) |
VerfasserIn: | Minhas, Daud Mustafa Frey, Georg |
Sprache: | Englisch |
Titel: | IEEE Access |
Bandnummer: | 8 |
Startseite: | 2052 |
Endseite: | 2072 |
Verlag/Plattform: | IEEE |
Erscheinungsjahr: | 2019 |
DDC-Sachgruppe: | 600 Technik |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Internet of energy based smart power grids demonstrate high in-feed from renewable energy resources (RESs) and lofty out-feed to energy consumers. Uncertainties evolved by incorporating RESs and time-varying energy consumption present immense challenges to the optimal control of smart power networks. To deal with these challenges, it is important to make the system deterministic by making time-ahead prediction and scheduling of power supply and demand. The present work confers a model of a co-scheduling framework, organizing cost-efficient activation of energy supply entities (ESEs) and load demands in a home area power network (HAPN). It integrates roof-top photovoltaic (PV) panels, diesel energy generator (DE), energy storage devices (ESDs), and smart load demands (SLDs) along with grid-supplied power. The scheduling model is based on mixed-integer linear programming (MILP) framework, incorporates a “min-max” optimization algorithm that reduces the daily energy bills, maintains high comfort level for the energy consumers, and increases the self-sufficiency of the home. The proposed strategy exploits the flexibility in dynamic energy price signals and SLDs of various classes, providing day-ahead cost-optimal scheduling decisions for incorporated energy entities. A linearized component-based model is developed, considering inefficiencies, taking various power phase modes of the SLDs along with the cost of operation, maintenance, and degradation of the equipment. A case study based on numerical analysis determines the particular features of the proposed HAPN model. Simulation results demonstrate the real prospect of our implemented strategy, utilizing a cost-effective optimal blend of distinct energy entities in a smart home. |
DOI der Erstveröffentlichung: | 10.1109/ACCESS.2019.2962660 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-301307 hdl:20.500.11880/28582 http://dx.doi.org/10.22028/D291-30130 |
ISSN: | 2169-3536 |
Datum des Eintrags: | 16-Jan-2020 |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Systems Engineering |
Professur: | NT - Prof. Dr. Georg Frey |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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Minhas_Frey_Access2020.pdf | 35,61 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons