Abstract
The electric vehicle technology intends to mitigate negative impacts of the energy challenge on the current transportation infrastructure. However, integrating a large number of such vehicles imposes a significant additional load to the grid and may overload it. This paper proposes a hierarchical event-driven multi-agent system framework for coordinated charging scheduling of electric vehicles. Household agents negotiate temporal travel patterns with substation agents to decide when electric vehicles should charge their batteries. A scalable load scheduling algorithm is proposed to schedule charging process of electric vehicles in real-time regardless of using any forecasting method. It aims to permit as many electric vehicles as possible to operate while keeping their aggregated charging energy consumption below continuous electricity-price-dependent thresholds over time. Simulations confirm that the framework benefits from charging flexibilities, reduces the charging cost, and shaves the grid's peak.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE Online Conference on Green Communications, OnlineGreenComm 2016 : (OnlineGreenComm) |
| Number of pages | 6 |
| Volume | 2016 |
| Publisher | IEEE |
| Publication date | 4 Jan 2017 |
| Pages | 64-69 |
| Article number | 7805408 |
| ISBN (Electronic) | 978-1-5090-2753-8 |
| DOIs | |
| Publication status | Published - 4 Jan 2017 |
| Event | IEEE Online Conference on Green Communications - Internettet Duration: 14 Nov 2016 → 17 Nov 2016 http://onlinegreencomm2016.ieee-onlinegreencomm.org/ |
Conference
| Conference | IEEE Online Conference on Green Communications |
|---|---|
| Location | Internettet |
| Period | 14/11/2016 → 17/11/2016 |
| Internet address |
Keywords
- Coordinated charging scheduling
- Demand response
- Electric vehicle
- Multi-agent systems
- Smart grid