Abstract
To meet the substantial demand for electried transportation, a high level of penetration of electric vehicles (EVs) will be expected to incur considerable impacts on the reliability of electricity grid. Hence, there requires an intelligent scheduling mechanism for EV charging for maintaining the electricity grid within the operating limits and absorbing intermient renewable energy. is note discusses the challenges in designing practical charging algorithms considering common discrete charging rates with minimum power requirements in various charging modes over alternating current (AC) power networks. We present the basic ideas of applying convex relaxation and proper rounding techniques to tackle the combinatorial optimization problem of EV charging.
| Original language | British English |
|---|---|
| Title of host publication | e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems |
| Pages | 183-186 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450357678 |
| DOIs | |
| State | Published - 12 Jun 2018 |
| Event | 9th ACM International Conference on Future Energy Systems, e-Energy 2018 - Karlsruhe, Germany Duration: 12 Jun 2018 → 15 Jun 2018 |
Publication series
| Name | e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems |
|---|
Conference
| Conference | 9th ACM International Conference on Future Energy Systems, e-Energy 2018 |
|---|---|
| Country/Territory | Germany |
| City | Karlsruhe |
| Period | 12/06/18 → 15/06/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- AC power networks
- Discrete charging options
- Electric vehicle charging
- Scheduling optimization
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