A Highly Efficient Bad Data Identification Approach for Very Large Scale Power Systems
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DOI: 10.1109/tpwrs.2018.2826980
Abstract: The well-known largest normalized residual (LNR) test for bad data identification becomes computationally inefficient for large-scale power systems containing a large volume of bad data, given the fact that it identifies and removes bad measurements… read more here.
Keywords: power systems; bad data; lnr test; data identification ... See more keywords