37 citations · 98 across the 17 of their papers we have counts for
17 papers
Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
Aniket Johri, Divyanshi Dwivedi, Mayukha Pal
The increasing vulnerability of electrical distribution systems to extreme weather events and cyber threats necessitates the development of economically viable frameworks for resil…
Enhanced Rapid Detection of High-impedance Arc Faults in Medium Voltage Electrical Distribution Networks
Kriti Thakur, Divyanshi Dwivedi, K. Victor Sam Moses Babu +5
High-impedance arc faults in AC power systems have the potential to lead to catastrophic accidents. However, significant challenges exist in identifying these faults because of the…
Detection of High-Impedance Low-Current Arc Faults at Electrical Substations
K. Victor Sam Moses Babu, Divyanshi Dwivedi, Marcelo Esteban Valdes +3
Arcing faults in low voltage (LV) distribution systems associated with arc-flash risk and potentially significant equipment damage are notoriously difficult to detect under some co…
Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data
Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi +4
Faults on electrical power lines could severely compromise both the reliability and safety of power systems, leading to unstable power delivery and increased outage risks. They pos…
Fault Classification in Electrical Distribution Systems using Grassmann Manifold
Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi +4
Electrical fault classification is vital for ensuring the reliability and safety of power systems. Accurate and efficient fault classification methods are essential for timely and…
Energy Sharing among Resources within Electrical Distribution Systems: A Systematic Review
G Hari Krishna, K. Victor Sam Moses Babu, Divyanshi Dwivedi +3
The rapid increase in Electric Vehicle (EV) adoption provides a promising solution for reducing carbon emissions and fossil fuel dependency in transportation systems. However, the…
Modelling of the Electric Vehicle Charging Infrastructure as Cyber Physical Power Systems: A Review on Components, Standards, Vulnerabilities and Attacks
Sagar Babu Mitikiri, K. Victor Sam Moses Babu, Divyanshi Dwivedi +4
The increasing number of electric vehicles (EVs) has led to the growing need to establish EV charging infrastructures (EVCIs) with fast charging capabilities to reduce congestion a…
Advancements in Enhancing Resilience of Electrical Distribution Systems: A Review on Frameworks, Metrics, and Technological Innovations
Divyanshi Dwivedi, Sagar Babu Mitikiri, K. Victor Sam Moses Babu +4
This comprehensive review paper explores power system resilience, emphasizing its evolution, comparison with reliability, and conducting a thorough analysis of the definition and c…
Advancements in Arc Fault Detection for Electrical Distribution Systems: A Comprehensive Review from Artificial Intelligence Perspective
Kriti Thakur, Divyanshi Dwivedi, K. Victor Sam Moses Babu +4
This comprehensive review paper provides a thorough examination of current advancements and research in the field of arc fault detection for electrical distribution systems. The in…
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from PMU Measurement Data
Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
The expansion in technology and attainability of a large number of sensors has led to a huge amount of real-time streaming data. The real-time data in the electrical distribution s…
A Resilient Power Distribution System using P2P Energy Sharing
K. Victor Sam Moses Babu, Divyanshi Dwivedi, Pratyush Chakraborty +2
The adoption of distributed energy resources (DERs) such as solar panels and wind turbines is transforming the traditional energy grid into a more decentralized system, where micro…
Detection of Malfunctioning Modules in Photovoltaic Power Plants using Unsupervised Feature Clustering Segmentation Algorithm
Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
The energy transition towards photovoltaic solar energy has evolved to be a viable and sustainable source for the generation of electricity. It has effectively emerged as an altern…
Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading
Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula +2
Integration of distributed energy resources (DERs) at a residential level has given way to the development of a self-sufficient energy-resilient system and peer-to-peer (P2P) energ…
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks
Siddharth Patwardhan, Utso Majumder, Aditya Das Sarma +3
The percolation threshold is an important measure to determine the inherent rigidity of large networks. Predictors of the percolation threshold for large networks are computational…
Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model
Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula +2
The global generation of renewable energy has rapidly increased, primarily due to the installation of large-scale renewable energy power plants. However, monitoring renewable energ…
Data-Driven Approach to form Energy Resilient Smart Microgrids with Identification of Vulnerable Nodes in Active Electrical Distribution Network
D Maneesh Reddy, Divyanshi Dwivedi, Pradeep Kumar Yemula +1
With the commitment to climate, globally many countries started reducing brownfield energy production and strongly opting towards green energy resources. However, the optimal alloc…
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory
Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
Electrical Distribution Systems are extensively penetrated with Distributed Energy Resources (DERs) to cater the energy demands with the general perception that it enhances the sys…