Abstract
The paper offers an algorithm for detection of erroneous measurements (bad data) that occur at cyberattacks against systems for data acquisition, processing and transfer and cannot be detected by conventional methods of measurement validation at EPS state estimation. Combined application of wavelet analysis and theory of fuzzy sets when processing the SCADA and WAMS measurements produces higher accuracy of the estimates obtained under incomplete and uncertain data and demonstrates the efficiency of proposed approach for practical computations in simulated cyberattacks.
Highlights
Enhancement of information and communication infrastructure during EPS digitalization is ensured by development of sensor and network technologies that are based on introduction of digital equipment, application of intelligent technologies in the systems for data measurement, interpretation and transfer that are needed for EPS operation control
At the same time the problems of data quality occur during combined application of SCADA and WAMS measurements in the conditions of growing number of cyberattacks against cyber-physical EPS
For facilitating the solution of the EPS state estimation problems in the conditions of cyberattacks that deteriorate the data quality, for identification of erroneous measurements the data should be processed as a preliminary stage of EPS state estimation on the base of wavelet analysis and fuzzy sets
Summary
Enhancement of information and communication infrastructure during EPS digitalization is ensured by development of sensor and network technologies that are based on introduction of digital equipment, application of intelligent technologies in the systems for data measurement, interpretation and transfer that are needed for EPS operation control. They raise the efficiency and flexibility of EPS control and monitoring [1]. For the purpose of bad data identification, including those in the algorithms for bad data detection on the base of test equations [5], all the measurements are divided into the following groups: - valid measurements;.
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