Two-stage State Estimation Algorithm for Distribution Network Analysis

Conference · Thu Nov 01 00:00:00 EDT 2018

DOI:https://doi.org/10.1109/AUPEC.2018.8757946· OSTI ID:1561599

Dong, Jiaojiao ^[1]; Zhu, Lin ^[1]; Zhu, Lin ^[2]; Liu, Yilu ^[2]; Rizy, D Tom ^[2]; Wang, Fei ^[2]; Tolbert, Leon  ^[2]; Glass, Jim ^[3]

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1. University of Tennessee, Knoxville (UTK)
2. ORNL
3. Chattanooga Electric Power Board (EPB)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1561599
• 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