EconPapers    
Economics at your fingertips  
 

Compensated Load Flow Solutions for Distribution System State Estimation

Catalina Gómez-Quiles, Esther Romero-Ramos, Antonio de la Villa-Jaén and Antonio Gómez-Expósito
Additional contact information
Catalina Gómez-Quiles: Department of Electrical Engineering, University of Seville, 41092 Seville, Spain
Esther Romero-Ramos: Department of Electrical Engineering, University of Seville, 41092 Seville, Spain
Antonio de la Villa-Jaén: Department of Electrical Engineering, University of Seville, 41092 Seville, Spain
Antonio Gómez-Expósito: Department of Electrical Engineering, University of Seville, 41092 Seville, Spain

Energies, 2020, vol. 13, issue 12, 1-13

Abstract: 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.

Keywords: state estimation; distribution systems; load flow (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/12/3100/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/12/3100/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:12:p:3100-:d:371937

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3100-:d:371937