Integration of intermittent renewable power supply using grid-connected vehicles: A 2030 case study for California and Germany
David Dallinger,
Gerda Schubert and
Martin Wietschel
No S4/2012, Working Papers "Sustainability and Innovation" from Fraunhofer Institute for Systems and Innovation Research (ISI)
Abstract:
This paper describes a method to characterize the fluctuating electricity generation of renewable energy sources (RES) in a power system and compares the different parameters for California and Germany. Based on this method describing the fluctuation and residual load, the potential contribution of grid-connected vehicles to balancing generation from renewable energy sources is analyzed for a 2030 scenario using the agent-based simulation model PowerACE. The analysis reveals that integrating fluctuating RES is possible with less effort in California because of a higher correlation between RES generation and the load curve here. In addition, RES capacity factors are higher for California and therefore the ratio of installed capacity to peak load is lower. Germany, on the other hand, faces extreme residual load changes between periods with and without supply from RES. In both power system scenarios, grid-connected vehicles play an important role in reducing residual load fluctuation if smart charging is used. Uncontrolled charging or static time-of-use tariffs do not significantly improve the grid integration of RES.
Date: 2012
New Economics Papers: this item is included in nep-cmp and nep-ene
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/57926/1/715337629.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:fisisi:s42012
Access Statistics for this paper
More papers in Working Papers "Sustainability and Innovation" from Fraunhofer Institute for Systems and Innovation Research (ISI) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().