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A Parametric Test based Analysis of State Estimation Techniques under Data Uncertainties

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Title A Parametric Test based Analysis of State Estimation Techniques under Data Uncertainties
 
Creator Kishore, Pankhuri
Datta, Stuti Shukla
K, Seethalekshmi
Kumar, Anil
 
Subject Energy management system
Evolutionary strategies
Parametric tests
State estimation
Statistical analysis
 
Description 837-849
This work examines the statistical analysis of conventional and evolutionary strategies used to solve state estimation
problems. All energy management systems use state estimation to determine the operational condition of the system.
Moreover, with the rise of the electrical market and the notion of a smart grid, the assessment of system parameters has
received considerable attention. Hence an assessment of the efficiency and robustness of various state estimation techniques
used to compute the system parameters is very much required. This paper primarily focuses on the parametric tests used to
access and compare the robustness of various state estimators. Case studies are conducted on IEEE 6 bus and 14 bus
systems. In addition, this paper also provides a statistical evaluation of the performance of evolutionary algorithms with
varying upper and lower optimal solution constraints. Furthermore, the algorithms' robustness under conditions of missing
and infringed data is also determined. The findings derived from these estimators are compared with the base values, and the
percentage error in estimated values is computed and analysed.
 
Date 2022-08-03T04:58:29Z
2022-08-03T04:58:29Z
2022-08
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/60251
https://doi.org/10.56042/jsir.v81i08.45714
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.81(08) [AUG 2022]