Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation methods at the present stage are restricted in practical use and require some assumptions. In this paper, we investigate the security of smart grid systems. We (1) identify and define the security problem in the smart grid, (2) compare the performance of several state estimate methods including Least Square, Kalman filter, Extend Kalman filter, in identifying smart grid dynamic information using measurements, and (3) investigate the Chi-square detector, Euclidean Distance, and Cosine similarity matching approaches for attack detection.
|Title of host publication||2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||7|
|Publication status||Published - 2022|
|Event||20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022 - Brasov, Romania|
Duration: 25 Sep 2022 → 28 Sep 2022
|Name||2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022|
|Conference||20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022|
|Period||25/09/22 → 28/09/22|
Bibliographical noteGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
- Cyber attack detection
- Kalman filter
- smart grid
- State estimate