Linear Distribution System State Estimation with Synchrophasor Measurements and Voltage-Dependent Load Model

Distribution system state estimation (DSSE) is a critical enabler for distribution system operators (DSOs) to manage active distribution grids efficiently. Timely detection of state changes requires fast-executing state estimation techniques, yet the prevalent nonlinear weighted least squares approach, though effective, presents computational challenges. Linearizing inherent nonlinearities is a way to expedite DSSE solutions. This paper proposes a linear DSSE method that leverages synchrophasor measurements and a linear voltage-dependent load model for pseudo-measurements. This approach provides a more accurate representation of load response to voltage variations, yielding more realistic estimation results than methods using conventional constant active and reactive load models.

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Published
2025-02-10
DOI
https://doi.org/10.1109/tpec63981.2025.10906831
Primary Topic
Power System Optimization and Stability
Type
article
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article

Linear Distribution System State Estimation with Synchrophasor Measurements and Voltage-Dependent Load Model

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Power System Optimization and Stability
article

Linear Distribution System State Estimation with Synchrophasor Measurements and Voltage-Dependent Load Model

Richard Hibberts-Caswell, Behzad Zargar, Jinshun Su, Payman Dehghanian, Yifu Li, Mohsen Ferdowsi
article en

Abstract

Distribution system state estimation (DSSE) is a critical enabler for distribution system operators (DSOs) to manage active distribution grids efficiently. Timely detection of state changes requires fast-executing state estimation techniques, yet the prevalent nonlinear weighted least squares approach, though effective, presents computational challenges. Linearizing inherent nonlinearities is a way to expedite DSSE solutions. This paper proposes a linear DSSE method that leverages synchrophasor measurements and a linear voltage-dependent load model for pseudo-measurements. This approach provides a more accurate representation of load response to voltage variations, yielding more realistic estimation results than methods using conventional constant active and reactive load models.

Siemens (Germany) (DE), George Washington University (US), Software (Germany) (DE), Fichtner (Germany) (DE)
Affordable and clean energy
Openalex Percentile: Top 97%
Power System Optimization and Stability
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