A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm

Khantach, Abdelkarim El; Hamlich, Mohamed; Belbounaguia, Nour Eddine

doi:10.2139/ssrn.3179469

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2019

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“…The second method does not require training data and detects the measurement deviation. EL-khantach et al [23] have applied trees algorithm in order to detect the false data measurements according to the Jacobean matrix.…”

Section: Related Wordmentioning

confidence: 99%

Real-Time False Data Detection in Smart Grid Based on Fuzzy Time Series

Khantach¹,

Hamlich²,

Belbounaguia³

2019

I2M

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False measurements pose a major challenge to the stable operation of the smart grid. This paper aims to develop a real-time detection method for false measurements in the smart grid, especially when the error is in the function of Jacobean matrix. Considering its high robustness and excellent short-term prediction effect, the fuzzy time series was selected as the basis for our model. The detection is realized in three steps: fuzzification, fuzzy relationship determination and defuzzification. The established model was tested on a 30-node network using the PSSE. The results show that our model can accurately detect the false measurement that are inputted in the Jacobian matrix, which are not detectable by conventional systems.

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Section: Related Wordmentioning

confidence: 99%