[HTML][HTML] Application status and prospects of digital twin technology in distribution grid

Z Zhaoyun, L Linjun - Energy Reports, 2022 - Elsevier
With the continuous expansion of the scale of the power grid and the growth of the demand
for electricity, the digital and intelligent construction of distribution grids is urgently needed …

A review of distribution network applications based on smart meter data analytics

CL Athanasiadis, TA Papadopoulos… - … and Sustainable Energy …, 2024 - Elsevier
The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

Review of fault detection techniques for predictive maintenance

D Divya, B Marath, MB Santosh Kumar - Journal of Quality in …, 2023 - emerald.com
Purpose This study aims to bring awareness to the developing of fault detection systems
using the data collected from sensor devices/physical devices of various systems for …

Smart asset management system for power transformers coupled with online and offline monitoring technologies

Y Biçen, F Aras - Engineering Failure Analysis, 2023 - Elsevier
Predictive maintenance strategies have gained popularity in recent years due to the
advantages they provide over traditional maintenance strategies. Online monitoring …

Distribution Transformer Failure Prediction for Predictive Maintenance Using Hybrid One-Class Deep SVDD Classification and Lightning Strike Failures Data

AS Mogos, X Liang, CY Chung - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
The distribution transformer in field monitoring data failure may be influenced by its
maintenance history and risk index in a distribution network associated with keraunic level …

DRAGON: Deep reinforcement learning for autonomous grid operation and attack detection

M Landen, K Chung, M Ike, S Mackay… - Proceedings of the 38th …, 2022 - dl.acm.org
As power grids have evolved, IT has become integral to maintaining reliable power. While
providing operators improved situational awareness and the ability to rapidly respond to …

A review of smart meter data analytics for distribution network applications

CL Athanasiadis, TA Papadopoulos… - 2023 IEEE Belgrade …, 2023 - ieeexplore.ieee.org
As digital transformation progresses, smart meters with enhanced monitoring and
communication capabilities gradually replace the old-generation metering infrastructure …

Hierarchical Load Forecast Aggregation for Distribution Transformers Using Minimum Trace Optimal Reconciliation and AMI Data

AS Mogos, OA Ansari, X Liang, CY Chung - IEEE Access, 2023 - ieeexplore.ieee.org
Overloading and load imbalance have a significant impact on the health of distribution
transformers. The load of a distribution transformer can be considered in a hierarchical way …

An insulation monitoring method for transformer windings based on electroluminescence effect

Y Jia, S Ji, Z Bu, X Yang, S Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, the insulation monitoring method for transformer windings mainly monitors
voltage, current, leakage inductance, leakage magnetic field, temperature, and dissolved …

Data-Driven Approaches for Distribution Transformer Health Monitoring: A Review

AS Mogos, X Liang, CY Chung - 2023 IEEE Canadian …, 2023 - ieeexplore.ieee.org
Distribution transformers are the key components in distribution systems to maintain
reliability of the system operation and reduce power outages. In this paper, a literature …