Abstract
This chapter analyzes the medium-term operation of a power system in several future scenarios that differ in the level of penetration of electric vehicles (EVs) and how renewable energy sources (RES) can be safely integrated in the former. The analysis is performed for different vehicle charging strategies (namely dumb, multi-tariff, and smart). The analysis is based on results produced by an operation model of the electric power system where the charging of EVs is being considered. Vehicles are regarded as additional loads whose features depend on the mobility pattern. The operation model employed is a combination of an optimization-based planning problem used to determine the optimal day-ahead system operation and a Monte Carlo simulation to consider the stochastic events that may happen after the planning step. The Spanish electric system deemed to exist in 2020 is used as the base-case study for conducting the numerical analyses. Relationships among the share of EVs (relative to the overall number of vehicles), the amount of RES generation integrated, and relevant system performance indicators, such as operation cost, reliability measures, and RES curtailment, are derived in the case study section.
Keywords
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- 1.
The mobility requirements are established by the vehicle owners, which decide when they need to travel in their vehicles.
- 2.
It is computed as the ratio of the difference between renewable generation output curtailment with and without EVs to the number of EVs.
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Acknowledgments
This research has been partially funded by the Spanish CENIT-VERDE (http://cenitverde.es/) and European MERGE (http://www.ev-merge.eu/) projects.
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Ramos, A., Dietrich, K., Banez-Chicharro, F., Olmos, L., Latorre, J.M. (2014). Analysis of the Impact of Increasing Shares of Electric Vehicles on the Integration of RES Generation. In: Sanz-Bobi, M. (eds) Use, Operation and Maintenance of Renewable Energy Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-03224-5_11
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DOI: https://doi.org/10.1007/978-3-319-03224-5_11
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