The rapid increase of electric vehicles (EVs) penetration represents an important challenge for the distribution system operator (DSO). The main issues arise not only from an optimal grid expansion planning point of view but also for managing the system in the near future. The paper focuses on a short-term period EV penetration scenario and proposes a mechanism of EV charging sessions rescheduling in order to mitigate grid congestions. The collaboration between three actors, namely the DSO, the fleet manager and the end user, allows the DSO to identify rescheduling programs in order to face overload events, that represent the most important issue for the grid caused by the widespread penetration of EVs. The IEEE 33-bus test system is used to check the potential of the proposed mechanism. Load flow simulations show that more than 50% of congestions are avoided by means of this approach. The promising results constitute a base case for a future work in which the optimal rescheduling program would be investigated.
Electric vehicle charging rescheduling to mitigate local congestions in the distribution system / Carere, F.; Gatta, F. M.; Geri, A.; Maccioni, M.; Bragatto, T.; Cresta, M.; Paulucci, M.; Santori, F.. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE Madrid PowerTech, PowerTech 2021 tenutosi a esp) [10.1109/PowerTech46648.2021.9494882].
Electric vehicle charging rescheduling to mitigate local congestions in the distribution system
Carere F.;Gatta F. M.;Geri A.;MacCioni M.;Bragatto T.;
2021
Abstract
The rapid increase of electric vehicles (EVs) penetration represents an important challenge for the distribution system operator (DSO). The main issues arise not only from an optimal grid expansion planning point of view but also for managing the system in the near future. The paper focuses on a short-term period EV penetration scenario and proposes a mechanism of EV charging sessions rescheduling in order to mitigate grid congestions. The collaboration between three actors, namely the DSO, the fleet manager and the end user, allows the DSO to identify rescheduling programs in order to face overload events, that represent the most important issue for the grid caused by the widespread penetration of EVs. The IEEE 33-bus test system is used to check the potential of the proposed mechanism. Load flow simulations show that more than 50% of congestions are avoided by means of this approach. The promising results constitute a base case for a future work in which the optimal rescheduling program would be investigated.File | Dimensione | Formato | |
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Carere_Electric Vehicle_2021.pdf
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