Topology error identification by least absolute value state estimation

This paper describes an approach by which the status of circuit breakers which are not directly monitored can be determined. The approach combines a previously proposed circuit breaker model with the least absolute value (LAV) state estimation method for this purpose. The ability of the LAV estimators to reject inconsistent measurements is exploited in order to decide whether a circuit breaker is closed or open. The formulation of the LAV state estimation is accordingly modified to include the circuit breaker models and associated constraints. The proposed approach is implemented and tested. Simulation results for single and multiple circuit breaker configurations are given. Robustness of the approach against analog measurement errors is also demonstrated by examples.<<ETX>>

[1]  K. Clements,et al.  Detection and identification of topology errors in electric power systems , 1988 .

[2]  A. Monticelli The impact of modeling short circuit branches in state estimation , 1993 .

[3]  Felix F. Wu,et al.  Detection of Topology Errors by State Estimation , 1989, IEEE Power Engineering Review.

[4]  A. Abur,et al.  A fast algorithm for the weighted least absolute value state estimation , 1991, IEEE Power Engineering Review.

[5]  A. Monticelli,et al.  Reliable Bad Data Processing for Real-Time State Estimation , 1983, IEEE Power Engineering Review.

[6]  Yu Er-keng,et al.  A New Approach for Detection and Identification of Multiple Bad Data in Power System State Estimation , 1982, IEEE Transactions on Power Apparatus and Systems.

[7]  E. Handschin,et al.  Bad data analysis for power system state estimation , 1975, IEEE Transactions on Power Apparatus and Systems.

[8]  H. Glavitsch,et al.  Detection and identification of topological errors in online power system analysis , 1991 .

[9]  A. Abur,et al.  A fast algorithm for the weighted least absolute value state estimation (for power systems) , 1991 .

[10]  M. Ribbens-Pavella,et al.  Hypothesis Testing Identification: A New Method for Bad Data Analysis in Power System State Estimation , 1984, IEEE Power Engineering Review.

[11]  A. Monticelli Modeling circuit breakers in weighted least squares state estimation , 1993 .

[12]  I. Barrodale,et al.  An Improved Algorithm for Discrete $l_1 $ Linear Approximation , 1973 .

[13]  M. R. Irving,et al.  Substation data validation , 1982 .

[14]  R. Lugtu,et al.  Power System State Estimation: Detection of Topological Errors , 1980, IEEE Transactions on Power Apparatus and Systems.