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Title: | A model to mitigate forecast uncertainties in distribution systems using the temporal flexibility of EVAs | Authors: | Lu, X Chan, KW Xia, S Zhang, X Wang, G Li, F |
Issue Date: | May-2020 | Source: | IEEE transactions on power systems, May 2020, v. 35, no. 3, 8890715, p. 2212-2221 | Abstract: | Electric vehicles (EVs) provide new options for energy balancing of power systems. One possible way to use EVs in energy balancing is to let each distribution system mitigate its forecast uncertainties through the flexibility of EVs. In consideration of the difficulties to directly govern a large number of EVs, it is more reasonable for distribution systems to dispatch electric vehicle aggregators (EVAs). Without influencing driving activities of EVs in the next day, a model is established for distribution systems to make use of EVAs, whose contributions are delaying uncertainties through their temporal flexibility and thus creating opportunities for uncertainties from different hours to offset each other. In the established model, a scheme of uncertainty transferring is proposed to relieve interruption to EVAs and distributionally robust optimization is adopted to evaluate the operation plans' average performance with temporal and spatial uncertainty correlations considered. Comprehensive case studies are carried out based on charging demands of EVAs simulated from real traffic data to verify the effectiveness of the proposed model. | Keywords: | Day-ahead planning Distribution system Distributionally robust optimization Electric vehicle aggregator Temporal flexibility Uncertainty mitigation |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on power systems | ISSN: | 0885-8950 | EISSN: | 1558-0679 | DOI: | 10.1109/TPWRS.2019.2951108 | Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication X. Lu, K. W. Chan, S. Xia, X. Zhang, G. Wang and F. Li, "A Model to Mitigate Forecast Uncertainties in Distribution Systems Using the Temporal Flexibility of EVAs," in IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 2212-2221, May 2020 is available at https://doi.org/10.1109/TPWRS.2019.2951108 |
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Lu_Model_Mitigate_Forecast.pdf | Pre-Published version | 1.33 MB | Adobe PDF | View/Open |
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