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

Langenmayr, Uwe and Wang, Weimin and 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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Official URL: https://www.sciencedirect.com/science/article/pii/S0306261920314227

Abstract

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.

Item URL in elib:https://elib.dlr.de/136751/
Document Type:Article
Title:Unit Commitment of Photovoltaic-Battery Systems: An Advanced Approach Considering Uncertainties from Load, Electric Vehicles, and Photovoltaic
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Langenmayr, Uweuwe.langenmayr (at) kit.eduUNSPECIFIED
Wang, WeiminWeimin.Wang (at) uncc.eduUNSPECIFIED
Jochem, PatrickPatrick.Jochem (at) dlr.deUNSPECIFIED
Date:16 October 2020
Journal or Publication Title:Applied Energy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:280
DOI :10.1016/j.apenergy.2020.115972
Publisher:Elsevier
ISSN:0306-2619
Status:Published
Keywords:PV-battery systems Peak shaving Uncertainty Monte Carlo simulation Electric vehicle Optimization
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Jochem, Patrick
Deposited On:04 Dec 2020 14:26
Last Modified:04 Dec 2020 14:26

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