PV Hosting Capacity Estimation: Experiences with Scalable Framework; Preprint

Wang, Wenbo (ORCID:0000000184464395); Thom, Daniel; Sedzro, Kwami Senam; Abraham, Sherin Ann; Yao, Yiyun (ORCID:000000033847815X); Gu, Jianli; Ghosh, Shibani

DOE OSTI · 1874460

PV Hosting Capacity Estimation: Experiences with Scalable Framework; Preprint

Wang, Wenbo (ORCID:0000000184464395)·Thom, Daniel·Sedzro, Kwami Senam·Abraham, Sherin Ann·Yao, Yiyun (ORCID:000000033847815X)·Gu, Jianli·Ghosh, Shibani

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Abstract

Hosting capacity is an indication of the amount of photovoltaics (PV) can be hosted in a distribution system. This paper presents a framework for estimating distributed PV hosting capacity at scale. We first analyze the key challenges of performing relevant large scale simulation including computational and modeling challenges. Then, we develop two python-based software tools in order to conduct repeatable distribution analyses: Distribution Integration Solution Cost Options (DISCO) for configuring and analyzing simulations, and JADE for parallelizing jobs on HPC clusters. A case study of hosting capacity estimation for SMART-DS SFO 2000+ synthetic feeders is used to demonstrate the capability of the developed framework and tools. The framework and tools can help utilities assess the overall hosting capacity of their service territory, through which the overall upgrade cost can be better planned in order to integrate more PV in the future.

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distributed energy resources ENERGY PLANNING, POLICY, AND ECONOMY,SOLAR ENERGY hosting capacity large-scale simulation

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BibTeX RIS

Wang, Wenbo (ORCID:0000000184464395), Thom, Daniel, Sedzro, Kwami Senam, Abraham, Sherin Ann, Yao, Yiyun (ORCID:000000033847815X), Gu, Jianli, Ghosh, Shibani. 2022-06-23. PV Hosting Capacity Estimation: Experiences with Scalable Framework; Preprint. https://www.osti.gov/biblio/1874460

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