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Development of a Least Absolute Value Power System Tracking State Estimator

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1 Author(s)

The problem of determining the state of a power system is currently being solved using a number of methods, most of which are based on a least squares problem formulation. Recently, alternate methods based on linear programming have been proposed [1]. Techniques based on least absolute value (LAV) minimization, a derivative of linear programming, have shown potential for use in state estimators, especially in regards to detecting and eliminating bad data from the measurement set [2].

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Power Apparatus and Systems, IEEE Transactions on  (Volume:PAS-104 ,  Issue: 5 )