33 citations · 125 across the 10 of their papers we have counts for
11 papers
Recurrence Plot and Change Quantile-based Deep Supervised and Semi-supervised Protection for Transmission Lines Connected to Photovoltaic Plants
Pallav Kumar Bera, Samita Rani Pani
Conventional relays encounter difficulties in protecting transmission lines (TLs) connected to converter-based energy sources (CBESs) due to the influence of power electronics on f…
Identification of High Impedance Faults Utilizing Recurrence Plots
Pallav Kumar Bera, Samita Rani Pani, Rajesh Kumar
This paper presents a systematic approach to detecting High Impedance Faults (HIFs) in medium voltage distribution networks using recurrence plots and machine learning. We first si…
Predicting Cascading Failures in Power Systems using Machine Learning
Samita Rani Pani, Pallav Kumar Bera, Rajat Kanti Samal
Cascading failure studies help assess and enhance the robustness of power systems against severe power outages. Onset time is a critical parameter in the analysis and management of…
A Hybrid Intelligent System for Protection of Transmission Lines Connected to PV Farms based on Linear Trends
Pallav Kumar Bera, Samita Rani Pani, Can Isik +1
Conventional relays face challenges for transmission lines connected to inverter-based resources (IBRs). In this article, a single-ended intelligent protection of the transmission…
Autoregressive Coefficients based Intelligent Protection of Transmission Lines Connected to Type-3 Wind Farms
Pallav Kumar Bera, Vajendra Kumar, Samita Rani Pani +1
Protective relays can mal-operate for transmission lines connected to doubly fed induction generator (DFIG) based large capacity wind farms (WFs). The performance of distance relay…
Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems
Pallav Kumar Bera
This dissertation highlights the growing interest in and adoption of machine learning (ML) approaches for fault detection in modern power grids. Once a fault has occurred, it must…
Detection of High Impedance Faults in Microgrids using Machine Learning
Pallav Kumar Bera, Vajendra Kumar, Samita Rani Pani +1
This article presents differential protection of the distribution line connecting a wind farm in a microgrid. Machine Learning (ML) based models are built using differential featur…
Detection and Classification of Internal Faults in Power Transformers using Tree-based Classifiers
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. The faults are simulated in Power System Computer Aided Desig…
Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers
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, sympatheti…
Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators
Pallav Kumar Bera, Can Isik, Vajendra Kumar
This study solves the problem of accurate detection of internal faults and classification of transients in a 5-bus interconnected system for Phase Angle Regulators (PAR) and Power…
Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning
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). The ISPST was modeled using Power System C…