Imperial College London > Talks@ee.imperial > Powertalk > The Innovation Concept and a Filtering Index for Gross Error Composition, Detection, and Identification in Power System State Estimation
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The Innovation Concept and a Filtering Index for Gross Error Composition, Detection, and Identification in Power System State EstimationAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Bikash C Pal. The research talk will present a topological and geometrical based approach used to recover the measurements masked errors in power system state estimation. An approach to compose the measurement total error (CNE) is proposed. The gross error detection test is made using the J(x) index, with the CNEs, as well as a new proposed index, the filtering index (FI). For each measurement a threshold value in order to declare a measurement as suspicious of having error is also proposed. With those suspicious measurements in hands, the filtering index (FI) is used in order to identify which of the measurements in fact have gross error. Then that measurement is corrected using the measurement Composed Normalized Error (CNE) and another state estimation is performed. To test the gross error detection, identification, and correction efficiency, the classical IEEE -14 bus system will be used. Also gross errors in the IEEE -30 bus system as well as the reduced 45-bus Power System of southern of Brazil will be tested. This talk is part of the Powertalk series. This talk is included in these lists:
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