1971
DOI: 10.1109/tpas.1971.292925
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Bad Data Suppression in Power System Static State Estimation

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Cited by 227 publications
(78 citation statements)
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“…This illustrates that the IBE method cannot identify the interacting bad measurements as mentioned in previous work, such as [3]- [7]. Neither can other bad data detection methods, such as NQC, HIT and COI mentioned in Section II, as explained in Section V-C. Next we apply Alg.…”
mentioning
confidence: 86%
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“…This illustrates that the IBE method cannot identify the interacting bad measurements as mentioned in previous work, such as [3]- [7]. Neither can other bad data detection methods, such as NQC, HIT and COI mentioned in Section II, as explained in Section V-C. Next we apply Alg.…”
mentioning
confidence: 86%
“…Bad measurements can induce the control center to obtain wrong state estimates and result in severe consequences. Researchers have developed lots of approaches on bad data detection and identification since 1970's, such as Identification By Elimination (IBE) [1], [2], Non-Quadratic Criteria (NQC) [3], Hypothesis Testing Identification (HTI) [4], Combinatorial Optimization Identification (COI) [5]- [7]. An early comparative study of the first three approaches can be found in [12].…”
Section: Related Workmentioning
confidence: 99%
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“…Currently SEs use the Intercontrol Center Communications Protocol (ICCP) gathering asynchronously fed data with an arrival rate of 1 sample per 4-10 seconds. Even though there have been great efforts to improve the the detection of bad data and topology errors [2], [3], [5], there is still a need to provide better bad data detection and more accurate models for the external systems. With the advancement of synchrophasor technology there has been interests to use Phasor Measurement Unit (PMU) measurements to enhance the estimates provided by SEs used in control centers [6].…”
Section: Introductionmentioning
confidence: 99%