TY  - THES
AB  - Power system stability and security are becoming recently a challenging issue due to the high penetration of renewable energies in power grids such as wind and solar regarding their unpredictable nature. Furthermore, the presence of electric vehicles (EVs) in the near future, mainly in the power distribution network is inevitable as the EVs worldwide popularity is growing. In this Doctoral thesis, a smart, fast and uncomplicated control method is proposed for the plugged-in EVs charging and discharging procedure applying smart grid capabilities. Essential grid operation constraints, including overload occurrence, system loss reduction and market energy prices tracking are considered. The proposed smart charging and regulation (SCRM) management method is evaluated in a standard distribution network in the MATLAB environment. Real data of users driving behaviours, utilized from performed studies is applied in the model to obtain realistic results. Different EV-penetration scenarios are derived in a day time horizon to show the effectiveness of this smart charging and discharging method. Furthermore, in this thesis also the Germany 2030 condition has been taken into account to perform a future plan for the EVs in Germany. The results demonstrate the positive impact of this methodology in saving operational costs and increasing system stability and operation efficiency.
AU  - Ameli, Ali
CY  - Paderborn
DA  - 2019
DO  - 10.17619/UNIPB/1-680
DP  - Universität Paderborn
LA  - eng
N1  - Tag der Verteidigung: 16.04.2019
N1  - Universität Paderborn, Dissertation, 2019
PB  - Veröffentlichungen der Universität
PY  - 2019
SP  - 1 Online-Ressource (205 Seiten)
T2  - Fakultät für Elektrotechnik, Informatik und Mathematik
TI  - Applying a smart management system for EVs in electrical power grids using smart grid capabilities
TT  - Anwendung eines intelligenten Managementsystems für Elektrofahrzeuge in Stromnetzen mit Smart-Grid-Funktionen
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:466:2-34377
Y2  - 2026-01-12T22:20:34
ER  -