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DOE OSTI · 1823594

Estimating Spatial Distribution Impacts of Rooftops Solar PV on Dynamic Hosting Capacity Evaluation for a Real Distribution Feeder

Emmanuel, Michael·Zhang, Yingchen (ORCID:0000000255590971)
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Abstract

This paper models the sensitivity of dynamic hosting capacity analysis to the spatial distribution of distributed PV scenarios, random, close and far from substation deployments, at various penetration levels on a real distribution feeder, in a quasi-static time series (QSTS) power flow simulation using high resolution time-aware metrics. These spatial distribution scenarios were chosen to capture a wide range of potential operation impacts of these deployments using a set of thermaland voltage-based metrics such as instantaneous violations and moving averages for both thermal and voltage constraints. This study uses actual load and PV data up-scaled from 1-hour time step to 1-minute resolution to fully characterize the interaction between the daily changes in load and PV output, and their impacts on distribution system operations.

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distribution systemhosting capacitypower flowPOWER TRANSMISSION AND DISTRIBUTION,SOLAR ENERGYquasi-static time series

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Emmanuel, Michael, Zhang, Yingchen (ORCID:0000000255590971). 2021-08-26. Estimating Spatial Distribution Impacts of Rooftops Solar PV on Dynamic Hosting Capacity Evaluation for a Real Distribution Feeder. https://doi.org/10.1109/pvsc43889.2021.9518437

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