Abstract
In future smart electric grids, the control of electric vehicles' charging processes will be a central aim of demand side management. While this control enables the avoidance of possible critical peak-load values, the optimal coordination with supply from fluctuating renewables offers promising possibilities for power grid operation. Within this work, an optimization approach will be proposed that uses evolutionary optimization for computing performant control-policies for all EVs within a complex system. These policies are able to satisfy the EV users' energy demand on the one hand, while guaranteeing secure operation of the power grid on the other hand. Considering a high amount of EVs allows further the optimal integration of e-mobility into large-scale distribution networks.
| Original language | English |
|---|---|
| Pages (from-to) | 59-67 |
| Number of pages | 9 |
| Journal | International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation |
| Volume | 1 |
| Publication status | Published - 2012 |
| Event | THE 14TH INTERNATIONAL CONFERENCE ON HARBOR, MARITIME & MULTIMODAL LOGISTICS MODELLING AND SIMULATION - Wien, Austria Duration: 19 Sept 2012 → 21 Sept 2012 |
Keywords
- Electric vehicle charging control
- Evolutionary optimization
- Probabilistic power flow
- Simulation optimization
