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Topology Error and Bad Data Processing in Generalized State Estimation
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DOI：10.1109/TPWRS.2014.2379512.png)
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Abstract
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This paper presents a method for processing real-time data error in generalized state estimation (GSE). Attention is focused on the two main types of error: network topology errors and bad data on analog measurements. The proposed approach is able to handle both errors without making any previous assumption regarding the nature of those errors. The degrading effects of topology errors over bad data processing when both topology and measurement errors occur at the same time are evaluated and new strategy is proposed to overcome it. GSE is treated as a constrained optimization problem where measurements and circuit-breaker status are modeled as equality constraints. Geometric tests based on the geometric interpretation of the Lagrange multiplier vector are then utilized to determine the source of the error. The proposed strategy is tested on two model power networks represented at the bus-section level which is derived from the IEEE 30-bus and 118-bus systems.
Keywords:
Bad data analysis
generalized state estimation
Lagrange multipliers
topology error identification
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