Impact of Work Schedule Flexibility on EV Hosting Capacity: Insights from Analyzing Field Data

A new study from researchers Marco Iorio, Mohammad Golgol, and Anamitra Pal tackles a critical grid challenge: the strain from uncoordinated electric vehicle (EV) charging. Published on arXiv, the paper introduces novel weekly work schedule-aware optimization models—both robust and chance-constrained formulations—to determine a distribution transformer's EV hosting capacity. By analyzing real field data from a residential feeder in Arizona, the research quantifies how the flexibility of hybrid or remote work schedules, when combined with rooftop photovoltaic (PV) solar generation, can be harnessed to manage charging loads.

The core insight is that the traditional evening peak from commuters plugging in simultaneously pushes transformers beyond safe limits. However, the study demonstrates that an intelligent charging coordination system, aware of who is working from home on which days, can shift this demand. This approach effectively uses the 'battery' of parked EVs and aligns charging with solar production peaks, often during midday. The result is a significant increase in how many EVs a local grid segment can support without requiring expensive infrastructure reinforcements, offering utilities a data-driven strategy for the energy transition.