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M eeting charging demands of large electric vehicle fleets will raise electrical load significantly and may pose challenges for today's power system. Appropriate coordination of electric vehicle charging can reduce these threats. Acknowledging the interdependency between the transportation and the power system created by electric vehicles, we develop a charging coordination model based on German mobility data. We extend the prior work by explicitly accounting for both the temporal and the spatial dimension. We are thus able to analyze the loads from price-based EV fleet charging while at the same time accounting for distribution grid constraints. Furthermore, we propose a heuristic charging strategy based on limited trip and price information. Our results show that the sole use of time-based electricity prices for the coordination of electric vehicle charging produces high load spikes independent of the charging strategies and power levels. These peaks are induced by simultaneous charging activity and may cause stability problems within distribution grids in residential areas. To mitigate these load spikes, we introduce a spatial price component that reflects local capacity utilization. These local prices induce both a temporal and spatial shift of charging activity that mitigates the load spikes.

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Ambitious goals of electric vehicle (EV) penetration may conflict with the capabilities of today's power system. Especially simultaneous charging at home may lead to significant load spikes or grid stability issues. Prior research has identified the need for appropriate coordination approaches. This research focuses mostly on coordinating system loads ignoring local grid constraints. The suggested mechanisms either are centralized control approaches ignoring user preferences or based on the electrical energy cost. We propose to complement these approaches by using mechanisms from revenue management for perishable assets. First, we formalize charging coordination as a minimal revenue management problem and then derive an appropriate advance sale mechanism. By accounting for heterogeneous customer segments, this approach can achieve a socially efficient allocation of available charging capacity. Using a local neighborhood scenario, we evaluate the impact of such an approach.

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