TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Ireshika, Muhandiram Arachchige Subodha Tharangi
A1  - Preißinger, Markus
A1  - Kepplinger, Peter
T1  - Autonomous demand side management of electric vehicles in a distribution grid
T2  - 2019 7th International Youth Conference on Energy (IYCE 2019). Bled, Slovenia, 3–6 July 2019
N2  - The electricity demand due to the increasing number of EVs presents new challenges for the operation of the electricity network, especially for the distribution grids. The existing grid infrastructure may not be sufficient to meet the new demands imposed by the integration of EVs. Thus, EV charging may possibly lead to reliability and stability issues, especially during the peak demand periods. Demand side management (DSM) is a potential and promising approach for mitigation of the resulting impacts. In this work, we developed an autonomous DSM strategy for optimal charging of EVs to minimize the charging cost and we conducted a simulation study to evaluate the impacts to the grid operation. The proposed approach only requires a one way communicated incentive. Real profiles from an Austrian study on mobility behavior are used to simulate the usage of the EVs. Furthermore, real smart meter data are used to simulate the household base load profiles and a real low voltage grid topology is considered in the load flow simulation. Day-ahead electricity stock market prices are used as the incentive to drive the optimization. The results for the optimum charging strategy is determined and compared to uncontrolled EV charging. The results for the optimum charging strategy show a potential cost saving of about 30.8% compared to uncontrolled EV charging. Although autonomous DSM of EVs achieves a shift of load as pursued, distribution grid operation may be substantially affected by it. We show that in the case of real time price driven operation, voltage drops and elevated peak to average powers result from the coincident charging of vehicles during favourable time slots.
KW  - Electric vehicles
KW  - Peak demand
KW  - Demand side management
KW  - Unidirectional communication
KW  - Optimum charging strategy
Y1  - 2019
SN  - 978-1-7281-3924-1
SB  - 978-1-7281-3924-1
U6  - https://doi.org/10.1109/IYCE45807.2019.8991564
DO  - https://doi.org/10.1109/IYCE45807.2019.8991564
SP  - 73
EP  - 78
PB  - IEEE
CY  - Piscataway, NJ
ER  -