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Reliable dispatch of renewable generation via charging of time-varying PEV populations
Publikationstyp
Journal Article
Date Issued
2018-09-30
Sprache
English
Author(s)
Appino, Riccardo Remo
Muñoz-Ortiz, Miguel
Mikut, Ralf
Hagenmeyer, Veit
Volume
34
Issue
2
Start Page
1558
End Page
1568
Article Number
8478401
Citation
IEEE Transactions on Power Systems 34 (2): 8478401 (2018-09-30)
Publisher DOI
Scopus ID
Publisher
IEEE
The inherent storage of plug-in electric vehicles is likely to foster the integration of intermittent generation from renewable energy sources into existing power systems. To the end of achieving dispatchability of a system composed of plug-in electric vehicles and intermittent generation, we propose a three-stage scheme. The main difficulties in dispatching such a system are the uncertainties inherent to intermittent generation and the time-varying aggregation of vehicles. We propose to address the former by means of probabilistic forecasts, while we approach the latter with separate stage-specific models. Specifically, we first compute a dispatch schedule, using probabilistic forecasts together with an aggregated dynamic model of the system. The power output of the single devices are set subsequently using deterministic forecasts and device-specific models. We draw upon a simulation study based on real data of generation and vehicle traffic to validate our findings.
Subjects
Dispatch schedule
plug-in electric vehicle
probabilistic forecasting
renewable energy
stochastic programming
time-varying aggregation of energy storage
DDC Class
530: Physics