Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System

Dahale, Shweta; Natarajan, Balasubramaniam

doi:10.1109/isgtlatinamerica52371.2021.9543006

Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System

Conference · 15 September 2021 · 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

DOI:https://doi.org/10.1109/isgtlatinamerica52371.2021.9543006· OSTI ID:1905276

Dahale, Shweta; Natarajan, Balasubramaniam

Limited measurement availability at the distribution grid presents challenges for state estimation and situational awareness. This paper combines the advantages of two sparsity-based state estimation approaches (matrix completion and compressive sensing) that have been proposed recently to address the challenge of unobservability. The proposed approach exploits both the low rank structure and a suitable transform domain representation to leverage the correlation structure of the spatio-temporal data matrix while incorporating the powerflow constraints of the distribution grid. Simulations are carried out on three phase unbalanced IEEE 37 test system to verify the effectiveness of the proposed approach. The performance results reveal - (1) the superiority over traditional matrix completion and (2) very low state estimation errors for high compression ratios representing very low observability.

Research Organization:: 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

DOE Contract Number:: EE0008767

OSTI ID:: 1905276

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

Journal Information:: 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), Conference: 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), LA Lima, Peru 15-17 September 2021

Country of Publication:: United States

Language:: English

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