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Title: Two-stage State Estimation Algorithm for Distribution Network Analysis

Abstract

Practical distribution system contains many nodes and short branches. As a result, a more efficient and stable distribution state estimation (DSE) algorithm is needed to properly handle the inverse operation of its large-scale ill-conditioned information matrix. This paper proposed a two-stage DSE algorithm to transform the inverse operation into addition and multiplication operations in a recursive manner. It includes pseudo measurement preprocessing in the offline stage where an approximate linear estimator is adopted to relieve most of computation burdens, and real-time correction in the online stage where a nonlinear estimator is used to update the estimation. Numerical results of the method applied to both IEEE standard test systems and an actual distribution system show the accuracy and effectiveness of the proposed algorithm.

Authors:
 [1];  [1];  [2];  [2];  [2];  [2]; ORCiD logo [2];  [3]
  1. University of Tennessee, Knoxville (UTK)
  2. ORNL
  3. Chattanooga Electric Power Board (EPB)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1561599
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Australasian Universities Power Engineering Conference (AUPEC 2018) - AUCKLAND, , New Zealand - 11/27/2018 8:00:00 PM-11/30/2018 8:00:00 PM
Country of Publication:
United States
Language:
English

Citation Formats

Dong, Jiaojiao, Zhu, Lin, Zhu, Lin, Liu, Yilu, Rizy, D Tom, Wang, Fei, Tolbert, Leon, and Glass, Jim. Two-stage State Estimation Algorithm for Distribution Network Analysis. United States: N. p., 2018. Web. doi:10.1109/AUPEC.2018.8757946.
Dong, Jiaojiao, Zhu, Lin, Zhu, Lin, Liu, Yilu, Rizy, D Tom, Wang, Fei, Tolbert, Leon, & Glass, Jim. Two-stage State Estimation Algorithm for Distribution Network Analysis. United States. doi:10.1109/AUPEC.2018.8757946.
Dong, Jiaojiao, Zhu, Lin, Zhu, Lin, Liu, Yilu, Rizy, D Tom, Wang, Fei, Tolbert, Leon, and Glass, Jim. Thu . "Two-stage State Estimation Algorithm for Distribution Network Analysis". United States. doi:10.1109/AUPEC.2018.8757946. https://www.osti.gov/servlets/purl/1561599.
@article{osti_1561599,
title = {Two-stage State Estimation Algorithm for Distribution Network Analysis},
author = {Dong, Jiaojiao and Zhu, Lin and Zhu, Lin and Liu, Yilu and Rizy, D Tom and Wang, Fei and Tolbert, Leon and Glass, Jim},
abstractNote = {Practical distribution system contains many nodes and short branches. As a result, a more efficient and stable distribution state estimation (DSE) algorithm is needed to properly handle the inverse operation of its large-scale ill-conditioned information matrix. This paper proposed a two-stage DSE algorithm to transform the inverse operation into addition and multiplication operations in a recursive manner. It includes pseudo measurement preprocessing in the offline stage where an approximate linear estimator is adopted to relieve most of computation burdens, and real-time correction in the online stage where a nonlinear estimator is used to update the estimation. Numerical results of the method applied to both IEEE standard test systems and an actual distribution system show the accuracy and effectiveness of the proposed algorithm.},
doi = {10.1109/AUPEC.2018.8757946},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Conference:
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