Detection of Unauthorized Photo-Voltaic System Connection for Low Voltage Grids
| Autor: | Murat Gol, Soheil Pouraltafi-kheljan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 020209 energy media_common.quotation_subject 020208 electrical & electronic engineering Monte Carlo method Real-time computing Photovoltaic system Regression analysis 02 engineering and technology Solar energy Temperature measurement Electricity generation 0202 electrical engineering electronic engineering information engineering Gradient boosting Function (engineering) business Low voltage media_common |
| Zdroj: | SIU |
| DOI: | 10.1109/siu49456.2020.9302080 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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