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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/F18F34DD-FBC1-4E17-A4CB-05082859DDFA | ||
| Year | 2022 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | A. A. Karandinou, and F. D. Kanellos, "A method for the assessment of multi-objective optimal charging of plug-in electric vehicles at power system level," WSEAS Trans. Syst. Control, vol. 17, pp. 314-323, July 2022, doi: 10.37394/23203.2022.17.36. https://doi.org/10.37394/23203.2022.17.36 | ||
| Appears in Collections |
Nowadays, plug-in electric vehicles (PEVs) have gained popularity because of their operational and environmental advantages. As a result, power systems must deal with new operation challenges from their integration. In this article, a method for the assessment of the effects of multi-objective optimal charging of PEVs at power system level is proposed. The proposed multi-objective optimization method takes into consideration the forecasts of power system load, Renewable Energy Sources (RES) and electricity price. Moreover, it is enhanced by the detailed modeling of the daily EV activity taking into consideration the characteristics of the area they are having activity, the type of the activity, the charging preferences of the driver as well as the technical characteristics of the EV. Moreover, Vehicle to Grid (V2G) operation can be modeled by the proposed method. Real-world data were used and the method was applied to the power system of Crete. The results obtained from the study of indicative application scenarios are presented and finally prove the efficiency of the proposed method.
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