Voltage Violation Prediction in Unobservable Distribution Systems

Abujubbeh, Mohammad; Dahale, Shweta; Natarajan, Balasubramaniam

doi:10.1109/pesgm48719.2022.9916805

Voltage Violation Prediction in Unobservable Distribution Systems

Conference · 17 July 2022 · 2022 IEEE Power & Energy Society General Meeting (PESGM)

DOI:https://doi.org/10.1109/pesgm48719.2022.9916805· OSTI ID:1907358

Abujubbeh, Mohammad ^[1]; Dahale, Shweta ^[2]; Natarajan, Balasubramaniam ^[2]

Electrical and Computer Engineering, Kansas State University,Manhattan,KS,USA,66506; Kansas State University
Electrical and Computer Engineering, Kansas State University,Manhattan,KS,USA,66506

Recently, distributed energy resources (DERs) such as photovoltaic (PV) systems have garnered significant attention due to their economic and environmental benefits. However, DERs can also pose new technical challenges to distribution system operation including under/over voltage issues. In this regard, voltage violation prediction (VVP) becomes an essential component of system operation as it enables proactive control strategies. Unfortunately, classical voltage monitoring techniques assume full availability of state measurements across all nodes in the system. In real-world scenarios, distribution systems are limited with few measurement devices, rendering the system unobservable. Therefore, this paper proposes a new Bayesian matrix completion (BMC) based VVP technique that accurately predicts the probability of nodal voltage violations in unobservable (and unbalanced) distribution systems. The proposed approach is tested via simulations on the IEEE 37 test system. Results show that the proposed method offers over 90% violation prediction accuracy with as low as 50% fraction of available data.

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Research Organization:: Kansas State University

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

DOE Contract Number:: EE0008767

OSTI ID:: 1907358

Report Number(s):: DOE-KSU-8767

Journal Information:: 2022 IEEE Power & Energy Society General Meeting (PESGM), Journal Name: 2022 IEEE Power & Energy Society General Meeting (PESGM)

Country of Publication:: United States

Language:: English

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