This paper proposes a multistage Phasor-aided Bad Data Detection and Identification (PBDDI) method to improve state estimation accuracy. This method defines a special kind of innovation - the difference between estimated SCADA measurements (calculated from valid PMU state estimates) and raw SCADA measurements, then proposed statistical residual test is used in a cooperative effort for identifying bad data. The proposed approach has the advantages of handling various kinds of bad data all at once, including bad data smearing effect elimination, critical measurements detection. Besides, the adequate measurements replacement strategy can avoid the multiple round identification process, commonly adopted by the estimation residual analysis of hybrid estimators, resulting in computation reduction. Numerical tests on the IEEE-14 system under various cases verify the effectiveness of proposed method
Multistage Phasor-aided bad data detection and identification / Zhao, Junbo; Zhang, Gexiang; LA SCALA, Massimo; Zhang, Jinghe. - (2015), pp. 1-5. (Intervento presentato al convegno Power & Energy Society General Meeting, 2015 IEEE tenutosi a Denver, CO nel 26-30 July 2015) [10.1109/PESGM.2015.7286267].
Multistage Phasor-aided bad data detection and identification
LA SCALA, Massimo;
2015-01-01
Abstract
This paper proposes a multistage Phasor-aided Bad Data Detection and Identification (PBDDI) method to improve state estimation accuracy. This method defines a special kind of innovation - the difference between estimated SCADA measurements (calculated from valid PMU state estimates) and raw SCADA measurements, then proposed statistical residual test is used in a cooperative effort for identifying bad data. The proposed approach has the advantages of handling various kinds of bad data all at once, including bad data smearing effect elimination, critical measurements detection. Besides, the adequate measurements replacement strategy can avoid the multiple round identification process, commonly adopted by the estimation residual analysis of hybrid estimators, resulting in computation reduction. Numerical tests on the IEEE-14 system under various cases verify the effectiveness of proposed methodI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
