Detection of Unauthorized Photo-Voltaic System Connection for Low Voltage Grids

Pouraltafi-Kheljan, Soheil
Göl, Murat
Vast and unauthorized penetration of the photovoltaic systems in distribution systems imposed inadequate monitoring challenge to system operators. Although the installation of required monitoring infrastructure does seem as a solution, due to the high installation cost, it is not considered a feasible one, at least for the near future. As an alternative approach, a two-stage method composed of an ANN-based mapping function, and a regression model is presented to detect unauthorized PV connections to the system. A gradient boosting machine is implemented to build the regression model and the corresponding confidence interval. The Monte Carlo simulations are utilized to generate synthetic training data-sets for both models. Finally, the performance of the approach is assessed with real data.
28th Signal Processing and Communications Applications Conference (SIU)


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Citation Formats
S. Pouraltafi-Kheljan and M. Göl, “Detection of Unauthorized Photo-Voltaic System Connection for Low Voltage Grids,” presented at the 28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 2020, Accessed: 00, 2021. [Online]. Available: