Model-Based Detection Scheme for Spoofed Sensor Data in Grid-Connected Inverters
In this article, a novel method to detect spoofed sensor data (SSD) for grid-connected inverters is proposed. First, a Kalman filter is used to estimate the inverter status in the proposed method. Then, the impact of SSD on the residual between estimation and control reference is analyzed. By levera...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2024-03, Vol.71 (3), p.3224-3228 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Zhang, Jinan Greidanus, Mateo D. Roig Mazumder, Sudip K. Ye, Jin Song, Wenzhan Mantooth, Homer Alan |
| description | In this article, a novel method to detect spoofed sensor data (SSD) for grid-connected inverters is proposed. First, a Kalman filter is used to estimate the inverter status in the proposed method. Then, the impact of SSD on the residual between estimation and control reference is analyzed. By leveraging the standard error of residual, an adaptive cumulative sum (CUSUM) chart is developed to achieve fast SSD detection and improve robustness. In addition, the proposed SSD detection method is verified by the hardware experiment. A comparative experiment with a conventional method also demonstrates the rapidity and robustness of the proposed method. Finally, the performance of the proposed method under different noise covariance matrices is analyzed. Comprehensive analysis shows that the proposed method meets the detection requirement in IEEE 1547 Standard. |
| doi_str_mv | 10.1109/TIE.2023.3265059 |
| format | Article |
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By leveraging the standard error of residual, an adaptive cumulative sum (CUSUM) chart is developed to achieve fast SSD detection and improve robustness. In addition, the proposed SSD detection method is verified by the hardware experiment. A comparative experiment with a conventional method also demonstrates the rapidity and robustness of the proposed method. Finally, the performance of the proposed method under different noise covariance matrices is analyzed. 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| ispartof | IEEE transactions on industrial electronics (1982), 2024-03, Vol.71 (3), p.3224-3228 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive cumulative sum chart (CUSUM) Control charts Covariance matrices Covariance matrix CUSUM charts detection Detection algorithms Error analysis Estimation grid-connected inverter Inverters Kalman filter Kalman filters Noise measurement Robustness Sensor systems spoofed sensor data (SSD) Standard error |
| title | Model-Based Detection Scheme for Spoofed Sensor Data in Grid-Connected Inverters |
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