Author
Listed:
- Sandström, Maria
- Huang, Pei
- Bales, Chris
- Dotzauer, Erik
Abstract
Electric vehicles (EVs) and solar photovoltaic (PV) systems pose challenges to existing power grids, which were often not designed to accommodate such large loads or local generation. With growing adoption of these technologies, hosting capacity (HC) studies are essential for understanding their impact and supporting future planning. However, combined HC assessments of EVs and PVs remain limited compared to studies treating the technologies separately, particularly when accounting for spatial uncertainties, temporal correlations, varying implementation levels, and different charging strategies. This study addresses this gap by applying a broadly applicable method for calculating the HC of EVs and PV systems in a Swedish residential grid. A combined time-series and stochastic approach was used across multiple scenarios, supported by geographic information system-based (GIS-based) PV potential analysis. The analysis is based on real-world data and performed as a case study, providing new insights into joint EV-PV integration. Results show that spot price-based charging resulted in the most frequent violations. Evenly distributed charging was the most grid-friendly strategy in winter, while PV generation caused significant violations in summer regardless of charging strategy. Under the even charging strategy, the average number of unique buses with voltage violations during summer was 11–63 times higher than during winter. This is because the strategy uses low power, limiting the impact of EV charging, while high uncontrolled PV production in summer becomes the main driver of voltage problems. The findings highlight the need for strategic charging strategies and additional measures to manage the grid impact of high PV implementation.
Suggested Citation
Sandström, Maria & Huang, Pei & Bales, Chris & Dotzauer, Erik, 2026.
"Combined hosting capacity analysis for electric vehicles and rooftop photovoltaic systems – impacts on a Swedish residential power grid,"
Energy, Elsevier, vol. 351(C).
Handle:
RePEc:eee:energy:v:351:y:2026:i:c:s0360544226009084
DOI: 10.1016/j.energy.2026.140805
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