Affiliation:
1. Department of EE, National Institute of Technology Durgapur, Durgapur, India
Abstract
Background:
The state estimation (SE) process in power systems estimates bus voltage
magnitude and phase angles vital for operating the system securely and reliably. The power systems
state estimation problem has been extensively solved through a weighted least squares (WLS) based
static approach that fails to track the system dynamics. Furthermore, those approaches are not inherently
robust against outliers, yielding a separate bad data processing (BDP) technique. Popular Dynamic
state estimation (DSE) schemes which mainly employ nonlinear Kalman filters like Extended
Kalman Filter (EKF) and Unscented Kalman Filter (UKF), also suffer from providing a reasonable estimation
of states in the presence of bad data. Although several generalized maximum (GM) likelihood-
based DSE approaches are robust against outliers, they are mainly based on nonlinear Kalman
filters, which yield an iterative process. Therefore, this article focuses on developing a robust DSE
approach that gives a good estimation of states against outliers in a single iteration.
Objective:
This article aims to propose a robust hybrid non-iterative DSE approach that gives robust
SE results in the presence of bad data.
Methods:
The proposed novel robust hybrid DSE (NRHDSE) approach combines the robust Mestimation
with the original novel hybrid DSE (NHDSE) approach. The proposed scheme implements
a suitable linear relationship between integrated hybrid measurements and complex states. The proposed
method uses a linear measurement model and thus employs an optimal linear Kalman filter to
correct or estimate states.
Results:
The efficacy of the proposed approach has been demonstrated by applying it on IEEE 57, 118
bus test systems and one more extensive 246 Indian utility bus system, namely, Northern Regional
Power Grid (NRPG), and after that comparing it with the original NHDSE, and DSE methods based
on traditional EKF and M-estimation based robust version of EKF (REKF). The simulation result
demonstrates the superiority of the proposed approach.
Conclusions:
Obtained results clearly show the superiority of the proposed approach.
Publisher
Bentham Science Publishers Ltd.
Subject
Building and Construction
Cited by
1 articles.
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