A Survey on Protection of Facts-Based Transmission Lines Using a Data Mining Model

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Provided by: Institute of Research and Journals (IRAJ)
Topic: Data Management
Format: PDF
In this paper, the authors used Thyristor Control Series Compensator (TCSC) for the fault zone identification and protection of FACTS based transmission lines by using data mining model with the use of ensemble decision trees. In this paper, they are comparing the existing data mining technologies which are available for the fault zone in the transmission line. The random forest algorithm gives 99% accuracy and reliability as compared to the other existing technologies. The random forest model provides the randomness of the ensemble of decision trees which gives an effective result for the faulty zone.
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