Abstract
The distributed energy resource (DER) hosting capacity of distribution feeders is commonly analyzed with scenario-based methods considering assumed worst-case scenarios such as minimum and maximum load conditions. For distribution feeders with load-tap changers, line voltage regulators, or capacitor banks, it can be challenging to accurately identify the realistic worst-case conditions that limit the hosting capacity. In particular, considering only minimum and maximum load conditions may not correspond to the feeder worst-case scenarios and may lead to under or over estimating the hosting capacity. This paper proposes a scenario-selection method for hosting capacity analysis, which identifies the feeder key load conditions and the corresponding voltage regulation equipment states for accurate determination of hosting capacity.
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