Abstract
In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.
| Original language | English |
|---|---|
| Pages (from-to) | 793-800 |
| Number of pages | 8 |
| Journal | Procedia Computer Science |
| Volume | 109 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal Duration: 16 May 2017 → 19 May 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 17 Partnerships for the Goals
Keywords
- Electric vehicles
- Peer-to-peer
- Optimization
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