A novel framework for hosting capacity analysis with spatio-temporal probabilistic voltage sensitivity analysis

Munikoti, Sai; Abujubbeh, Mohammad; Jhala, Kumarsinh; Natarajan, Balasubramaniam

doi:10.1016/j.ijepes.2021.107426

Title: A novel framework for hosting capacity analysis with spatio-temporal probabilistic voltage sensitivity analysis

Journal Article · Fri Aug 06 00:00:00 EDT 2021 · International Journal of Electrical Power and Energy Systems

DOI:https://doi.org/10.1016/j.ijepes.2021.107426· OSTI ID:1813042

Munikoti, Sai ^[1]; Abujubbeh, Mohammad ^[1]; Jhala, Kumarsinh ^[2]; Natarajan, Balasubramaniam ^[1]

Kansas State Univ., Manhattan, KS (United States)
Argonne National Lab. (ANL), Argonne, IL (United States). Center for Energy, Environmental, and Economic Systems Analysis (CEEESA)

Smart grids are envisioned to accommodate high penetration of distributed photovoltaic (PV) generation, which may cause adverse grid impacts in terms of voltage violations. Therefore, PV Hosting capacity is being used as a planning tool to determine the maximum PV installation capacity that causes the first voltage violation and above which would require infrastructure upgrades. Traditional methods of Hosting capacity analysis are scenario based and computationally complex as they rely on iterative load flow algorithms that require investigating a large number of scenarios for accurate assessment of PV impacts. Therefore, this paper presents a computationally efficient analytical approach to compute the probability distribution of voltage change due to random behavior of randomly located multiple distributed PVs. The proposed approach is based on Spatio-temporal probabilistic voltage sensitivity analysis that exploits both spatial and temporal uncertainties associated with PV injections. Thereafter, the derived distribution is used to quantify voltage violations for various PV penetration levels and subsequently determine the hosting capacity of the system without the need to examine large number of scenarios. Results of the proposed framework are validated via conventional load flow based simulation approach on the IEEE 37 and IEEE 123 node test systems.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States); Kansas State Univ., Manhattan, KS (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; National Science Foundation (NSF)

Grant/Contract Number:: AC02-06CH11357; 1855216; EE0008767

OSTI ID:: 1813042

Alternate ID(s):: OSTI ID: 1812228; OSTI ID: 1812229; OSTI ID: 1907548

Journal Information:: International Journal of Electrical Power and Energy Systems, Vol. 134; ISSN 0142-0615

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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analytical
voltage violations
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