University of Twente Student Theses
Making Smart Charging More Intelligent : Dynamic Optimization of EV Charging Strategies Based on Imbalance Settlement Prices
Beermann, B. (2024) Making Smart Charging More Intelligent : Dynamic Optimization of EV Charging Strategies Based on Imbalance Settlement Prices.
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| Abstract: | This research develops a strategy to optimize electric vehicle charging speeds using imbalance settlement prices, enhancing charge point operators' profitability. With increased integration of renewable energy sources, electricity market volatility creates challenges for grid stability and CPO operations. The study proposes a strategy to adjust charging speeds in real-time, using a dynamic strike price mechanism to optimize timing based on the rebound effect and remaining steering periods. Cost management is addressed through expected cost calculations, mitigating losses from unfinished sessions and deferred loads. The strategy integrates Day-Ahead and Intraday Market participation to align charging schedules with lower energy costs while allowing real-time adjustments. The most advanced model increased rewards by at least 32% over the current situation by improving the timing of steering actions and optimizing energy procurement, effectively turning balancing costs into income and enhancing grid stability. |
| Item Type: | Essay (Master) |
| Clients: | TotalEnergies, The Hague, The Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 30 exact sciences in general, 31 mathematics, 50 technical science in general, 55 traffic technology, transport technology |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/104630 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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