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Unit Commitment of Photovoltaic-Battery Systems: An Advanced Approach Considering Uncertainties from Load, Electric Vehicles, and Photovoltaic

Langenmayr, Uwe und Wang, Weimin und Jochem, Patrick (2020) Unit Commitment of Photovoltaic-Battery Systems: An Advanced Approach Considering Uncertainties from Load, Electric Vehicles, and Photovoltaic. Applied Energy, 280. Elsevier. doi: 10.1016/j.apenergy.2020.115972. ISSN 0306-2619.

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Offizielle URL: https://www.sciencedirect.com/science/article/pii/S0306261920314227

Kurzfassung

Increasing use of renewable energy leads to change in load flows from predictable generation and inelastic demand to more volatile and price-elastic patterns, especially on the distribution level. New applications such as electric vehicles further increase the demand of electricity. Therefore, a reliable, local control of load flexibilities is a key competence of future system operators. This paper presents a central planner–decentral operator approach to schedule local electricity flows. The central planner conducts a two-stage optimization to derive the demand limit and a corresponding battery schedule, while the decentral operator simply applies the battery schedule and heuristically reacts to unforeseen deviations between the forecasted and actual loads and power generation. Privacy concerns of the decentral planner are avoided as no private information is shared with the central planner. A relaxation factor and a reserve capacity for the battery are derived from a Monte Carlo simulation to consider the underlying uncertainties of load, photovoltaic generation, and electric vehicle charging. Our results show that the load of the decentral operator can be limited reliably for six days of the considered week and a maximum reduction of 2.6 kW (52%) of peakload has been accomplished. Furthermore, the approach is suitable for systems with limited computational resources at the place of the decentral operator, which is the common case in this field.

elib-URL des Eintrags:https://elib.dlr.de/136751/
Dokumentart:Zeitschriftenbeitrag
Titel:Unit Commitment of Photovoltaic-Battery Systems: An Advanced Approach Considering Uncertainties from Load, Electric Vehicles, and Photovoltaic
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Langenmayr, Uweuwe.langenmayr (at) kit.eduNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wang, WeiminWeimin.Wang (at) uncc.eduNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Jochem, PatrickPatrick.Jochem (at) dlr.dehttps://orcid.org/0000-0002-7486-4958NICHT SPEZIFIZIERT
Datum:16 Oktober 2020
Erschienen in:Applied Energy
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:280
DOI:10.1016/j.apenergy.2020.115972
Verlag:Elsevier
ISSN:0306-2619
Status:veröffentlicht
Stichwörter:PV-battery systems Peak shaving Uncertainty Monte Carlo simulation Electric vehicle Optimization
HGF - Forschungsbereich:Energie
HGF - Programm:TIG Technologie, Innovation und Gesellschaft
HGF - Programmthema:Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SY - Energiesystemanalyse
DLR - Teilgebiet (Projekt, Vorhaben):E - Systemanalyse und Technikbewertung (alt)
Standort: Stuttgart
Institute & Einrichtungen:Institut für Technische Thermodynamik > Energiesystemanalyse
Hinterlegt von: Jochem, Patrick
Hinterlegt am:04 Dez 2020 14:26
Letzte Änderung:28 Mär 2023 23:57

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