Anomaly detection in smart grid using optimized extreme gradient boosting with SCADA system

A Sharma, R Tiwari - Electric Power Systems Research, 2024 - Elsevier
The significance of anomaly detection is paramount for ensuring the security and better cost-
efficiency of smart grids. The extensive installation of advanced metering infrastructure (AMI) …

Distribution system state estimation using physics-guided deep learning approach

Y Raghuvamsi, K Teeparthi, VK DM, I Abdul… - Electric Power Systems …, 2024 - Elsevier
In the modern distribution management system, state estimation (SE) has a key role in
monitoring the entire distribution system using advanced measurement units. Since the …

An anomaly detection methodology of load-carrying structure of satellite based on high-precision predictive model

N Gu, K Liu, W Wu, X Guo - Acta Astronautica, 2024 - Elsevier
Abstract The Load-Carrying structure is a crucial element within the satellite framework,
directly impacting its overall mechanical performance. Comprised of composite materials …

Supervised Learning based Method for Condition Monitoring of Overhead Line Insulators using Leakage Current Measurement

M Mitrovic, D Titov, K Volkhov, I Lukicheva… - arXiv preprint arXiv …, 2024 - arxiv.org
As a new practical and economical solution to the aging problem of overhead line (OHL)
assets, the technical policies of most power grid companies in the world experienced a …

Generalized Harmonic State Estimation: An Approach Considering Measurement and Parameter Errors

LLS de Sousa, ID Melo - Journal of Control, Automation and Electrical …, 2024 - Springer
Harmonic state estimation (HSE) is an useful technique for determining harmonic voltages
and currents in electric power systems based on synchronized measurements and network …

面向新型电力系统的异常数据检测方法.

王亮, 邓松 - Integrated Intelligent Energy, 2024 - search.ebscohost.com
随着新型电力系统的快速发展, 电力系统产生的数据数量不断增值, 种类也愈发多样.
复杂化的数据环境为电力系统异常数据诊断带来了新的挑战. 对目前电力系统中常用的异常数据 …

Acquiring Better Load Estimates by Combining Anomaly and Change-point Detection in Power Grid Time-series Measurements

R Bouman, L Schmeitz, L Buise, J Heres… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper we present novel methodology for automatic anomaly and switch event filtering
to improve load estimation in power grid systems. By leveraging unsupervised methods with …

[PDF][PDF] Advancements in Power System State Estimation: Innovative Algorithms and Solutions for Enhanced Reliability and Efficiency

S Asefi, E Gryazina - 2023 - skoltech.ru
This thesis explores and introduces significant advancements in the field of power system
state estimation, aiming to enhance the reliability and efficiency of modern power grids. The …

Multidimensional Matrix Profile-Based Anomaly Detection for Power Grid with High Variable Renewable Energy Penetration

T Liu, L Xie, H Liu, R Ye, H Fan… - 2023 2nd Asia Power …, 2023 - ieeexplore.ieee.org
The development of various emerging artificial intelligence and big data technologies has
gradually transformed traditional physical power systems into smart grids. With the high …