Optimal Power Flow With State Estimation in the Loop for Distribution Networks

Guo, Yi; Zhou, Xinyang; Zhao, Changhong; Chen, Lijun; Summers, Tyler Holt

doi:10.1109/jsyst.2023.3253966

Optimal Power Flow With State Estimation in the Loop for Distribution Networks

Journal Article · Mon Mar 27 00:00:00 EDT 2023 · IEEE Systems Journal

DOI:https://doi.org/10.1109/jsyst.2023.3253966· OSTI ID:1971902

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Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Chinese University of Hong Kong (China)
University of Colorado, Boulder, CO (United States)
University of Texas at Dallas, Richardson, TX (United States)

Here in this article, we propose a framework for running optimal control-estimation synthesis in distribution networks. Our approach combines a primal-dual gradient-based optimal power flow solver with a state estimation feedback loop based on a limited set of sensors for system monitoring, instead of assuming exact knowledge of all states. The estimation algorithm reduces uncertainty on unmeasured grid states based on certain online state measurements and noisy "pseudomeasurements." We analyze the convergence of the proposed algorithm and quantify the statistical estimation errors based on a weighted least-squares estimator. The numerical results on a 4521-node network demonstrate that this approach can scale to extremely large networks and provide robustness to both large pseudomeasurement variability and inherent sensor measurement noise.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: ETH Zürich Postdoctoral Fellowship; Hong Kong RGC Early Career; National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: AC36-08GO28308; EE0007998

OSTI ID:: 1971902

Report Number(s):: NREL/JA--5D00-86083; MainId:86856; UUID:802717ec-0ad9-40e9-853d-e819511045e6; MainAdminID:69376

Journal Information:: IEEE Systems Journal, Journal Name: IEEE Systems Journal Journal Issue: 3 Vol. 17; ISSN 1932-8184

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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Optimal Power Flow With State Estimation in the Loop for Distribution Networks

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References (47)

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