Search Results for author: Pallav Kumar Bera

Found 7 papers, 0 papers with code

Autoregressive Coefficients based Intelligent Protection of Transmission Lines Connected to Type-3 Wind Farms

no code implementations5 Oct 2023 Pallav Kumar Bera, Vajendra Kumar, Samita Rani Pani, Om P. Malik

Protective relays can mal-operate for transmission lines connected to doubly fed induction generator (DFIG) based large capacity wind farms (WFs).

Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems

no code implementations8 Feb 2023 Pallav Kumar Bera

These limitations of differential and distance protection methods bring forward the motivation of using ML in addressing various protection challenges.

Decision Making Fault Detection

Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers

no code implementations17 Jun 2020 Pallav Kumar Bera, Can Isik

This paper investigates the applicability of time and time-frequency features based classifiers to distinguish internal faults and other transients - magnetizing inrush, sympathetic inrush, external faults with current transformer saturation, and overexcitation - for Indirect Symmetrical Phase Angle Regulating Transformers (ISPAR).

Fault Detection feature selection +1

Detection and Classification of Internal Faults in Power Transformers using Tree-based Classifiers

no code implementations28 May 2020 Samita Rani Pani, Pallav Kumar Bera, Vajendra Kumar

This paper proposes a Decision Tree (DT) based detection and classification of internal faults in a power transformer.

General Classification

Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators

no code implementations13 Apr 2020 Pallav Kumar Bera, Can Isik, Vajendra Kumar

The proposed algorithm distinguishes the internal faults from the other transients with a balanced accuracy of 99. 95%.

Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning

no code implementations12 Nov 2018 Pallav Kumar Bera, Rajesh Kumar, Can Isik

This paper proposes methods to identify 40 different types of internal faults in an Indirect Symmetrical Phase Shift Transformer (ISPST).

Ensemble Learning

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