4 research outputs found

    Power system state estimation using contraction mapping and singular value decomposition

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    State estimation plays a key role in the operation of power systems. This role becomes more important considering the increasing demand of emerging power market. Many methods have been proposed for power system state estimation, mostly based on Weighted Least Squares (WLS) approach. However, it is well known that Least Absolute Value (LAV) estimators are more efficient in terms of robustness and accuracy. For these estimators there is no closed form solution and each LAV estimator has its own criteria in choosing desired measurements. In this research, two novel LAV estimators are introduced for power system state estimation. The first estimator employs contraction mapping concepts for rejecting redundant measurements. The second estimator is introduced for systems where sparsity and ill-conditioning occur in the system matrix. In the second estimator, Singular Value Decomposition (SVD) method is combined with contraction mapping technique to find the appropriate equations for the estimation. The application of the new estimator is studied on different IEEE power systems for verification. The estimator shows a robust performance in all the test systems, and the estimation error remains comparatively small even in the presence of significant number of bad data points

    Power system state estimation using contraction mapping and singular value decomposition

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    This paper presents a new method for static state-estimation of power system parameters. In the proposed technique, contraction mapping principle is combined with singular value decomposition technique to select the appropriate measurements for state estimation in larger power systems and in the presence of bad data. The proposed technique is applied to the IEEE 118 buses power system benchmark and the results are evaluated and discussed. © 2011 IFAC

    Power system least absolute value state estimation using contraction mapping

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    This paper presents a new method for state estimation in power systems. In the proposed technique, contraction mapping principle is employed to select the appropriate buses for the state estimation. The features of the proposed technique is that the method is simple and results have relatively small estimation error in comparison with the existing approaches
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