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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/E1D84832-B212-41B1-9DFB-F58C557609AC | ||
| Year | 2024 | ||
| Type of Item | Master Thesis | ||
| License |
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| Bibliographic Citation | Aikaterini-Agapi Karandinou, "Optimization of the Charging Cost and Ancillary Services of Clusters of Plug in Electric Vehicles", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.100761 | ||
| Appears in Collections |
Increasing the number of electric vehicles, a large increase in electricity demand is expected. Solutions like smart charging of electric vehicles (EVs) has many advantages to the electricity network, limiting the large investments in the distribution network, as well as many benefits to the owner of the EV, reducing the charging cost. In this work, 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 effectiveness of the proposed method is demonstrated by the results obtained by the indicative operation scenarios. Finally, it is noted that the application of the proposed charging method does not require advanced calculation, measurement and communication systems.
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