Compensated Load Flow Solutions for Distribution System State Estimation

State estimation of distribution systems typically relies on measurement sets with very low redundancy levels. In this paper, this fact is exploited by first solving a conventional load flow, using exclusively a critical set of measurements, and then compensating the solution to account for the few...

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Published in:Energies (Basel) 2020-06, Vol.13 (12), p.3100
Main Authors: Gómez-Quiles, Catalina, Romero-Ramos, Esther, de la Villa-Jaén, Antonio, Gómez-Expósito, Antonio
Format: Article
Language:English
Subjects:
distribution systems
Ill-conditioned problems (mathematics)
Jacobi matrix method
Jacobian matrix
Load distribution
load flow
State estimation
Stress concentration
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description State estimation of distribution systems typically relies on measurement sets with very low redundancy levels. In this paper, this fact is exploited by first solving a conventional load flow, using exclusively a critical set of measurements, and then compensating the solution to account for the few redundant measurements available. This leads to a suboptimal but sufficiently accurate estimate. It is shown how the sparse triangular factorization of the load flow Jacobian matrix can be fully exploited throughout the compensation-based procedure, preventing in this way the ill-conditioning associated with the gain matrix arising in the conventional least-squares formulation. Simulation results are provided for measurement configurations customarily found in distribution systems, showing the potential advantages of the proposed methodology.
doi_str_mv 10.3390/en13123100
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1996-1073
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source Publicly Available Content (ProQuest)
subjects distribution systems
Ill-conditioned problems (mathematics)
Jacobi matrix method
Jacobian matrix
Load distribution
load flow
State estimation
Stress concentration
title Compensated Load Flow Solutions for Distribution System State Estimation
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