2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2020
DOI: 10.1109/upcon50219.2020.9376548 View full text |Buy / Rent full text
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“…SMOTE-based synthetic data oversampling was used in this study to help alleviate this problem and create a machine learning classifier that was free of bias. [33] Adjoints in PMUs and DGs integrated Distribution System was the basis for a fast and novel two-stage Loss-of-Mains (LoM) detection technique proposed by Yashasvi Bansal et al Adjoint matrices and real-time PMU data are used to identify and locate the LoM using the difference form of Tellegen's Theorem. Fast and accurate LoM detection, economic feasibility, insensitivity to DGs or loads' transient actions, and the ability to distinguish LoM from other events are among the aspects of the proposed approach on the modified IEEE-13 bus distribution system.…”
Section: Event Detectionmentioning
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“…SMOTE-based synthetic data oversampling was used in this study to help alleviate this problem and create a machine learning classifier that was free of bias. [33] Adjoints in PMUs and DGs integrated Distribution System was the basis for a fast and novel two-stage Loss-of-Mains (LoM) detection technique proposed by Yashasvi Bansal et al Adjoint matrices and real-time PMU data are used to identify and locate the LoM using the difference form of Tellegen's Theorem. Fast and accurate LoM detection, economic feasibility, insensitivity to DGs or loads' transient actions, and the ability to distinguish LoM from other events are among the aspects of the proposed approach on the modified IEEE-13 bus distribution system.…”
Section: Event Detectionmentioning