Agent-based charging scheduling of electric vehicles

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 ev...

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Bibliographic Details
Published in2016 IEEE Online Conference on Green Communications (OnlineGreenComm) pp. 64 - 69
Main Authors Azar, Armin Ghasem, Jacobsen, Rune Hylsberg
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Batteries
Coordinated charging scheduling
Demand response
Electric vehicle
Electric vehicles
Multi-agent systems
Real-time systems
Scheduling algorithms
Smart grid
Substations
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Summary: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.
DOI:10.1109/OnlineGreenCom.2016.7805408