Results 31 to 40 of about 2,362,134 (317)

Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid

, 2023
Ensuring electricity grid reliability becomes increasingly challenging with the shift towards renewable energy and declining conventional capacities. Distribution System Operators (DSOs) aim to achieve grid reliability by verifying the n-1 principle, ensuring continuous operation in case of component failure.
Charlotte Cambier van Nooten, Tom van de Poll, Sonja Füllhase, Jacco Heres, Tom Heskes, Yuliya Shapovalova   +5 more
openalex   +4 more sources

Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability

IEEE Open Access Journal of Power and Energy
The integration of information and communication technologies into modern power systems has contributed to enhanced efficiency, controllability, and voltage regulation.
Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin   +6 more
doaj   +2 more sources

A Topology Identification Strategy of Low-Voltage Distribution Grids Based on Feature-Enhanced Graph Attention Network

Energies
Accurate topological connectivity is critical for the safe operation and management of low-voltage distribution grids (LVDGs). However, due to the complexity of the structure and the lack of measurement equipment, obtaining and maintaining these ...
Yang Lei, Fan Yang, Yanjun Feng, Wei Hu, Yinzhang Cheng   +4 more
doaj   +2 more sources

Measurement error evaluation method for voltage transformers in distribution networks based on self-attention and graph convolutional networks

Energy Informatics
Accurately evaluating the error of voltage transformers in distribution networks is crucial for the safe operation of power systems and the fairness of electricity trade.
Xiujuan Zeng, Tong Liu, Huiqin Xie, Dajiang Wang, Jihong Xiao   +4 more
doaj   +2 more sources

An Advanced Spatio-Temporal Graph Neural Network Framework for the Concurrent Prediction of Transient and Voltage Stability

Energies
Power system stability prediction leveraging deep learning has gained significant attention due to the extensive deployment of phasor measurement units.
Chaoping Deng, Liyu Dai, Wujie Chao, Junwei Huang, Jinke Wang, Lanxin Lin, Wenyu Qin, Shengquan Lai, Xin Chen   +8 more
doaj   +2 more sources

Graph Convolutional Network-Based Topology Embedded Deep Reinforcement Learning for Voltage Stability Control

IEEE Transactions on Power Systems, 2021
Ramij Raja Hossain, Qiuhua Huang, Renke Huang   +2 more
openalex   +2 more sources

Voltage Graphs and Cluster Consensus with Point Group Symmetries

, 2016
A cluster consensus system is a multi-agent system in which the autonomous agents communicate to form multiple clusters, with each cluster of agents asymptotically converging to the same clustering point. We introduce in this paper a special class of cluster consensus dynamics, termed the $G$-clustering dynamics for $G$ a point group, whereby the ...
Xudong Chen, Mohamed-Ali Belabbas, Tamer Başar   +2 more
openalex   +4 more sources

Distributed Volt-Var Curve Optimization Using a Cellular Computational Network Representation of an Electric Power Distribution System

Energies, 2022
Voltage control in modern electric power distribution systems has become challenging due to the increasing penetration of distributed energy resources (DER).
Hasala Dharmawardena, Ganesh Kumar Venayagamoorthy   +1 more
doaj   +1 more source

Online topology‐based voltage regulation: A computational performance enhanced algorithm based on deep reinforcement learning

IET Generation, Transmission & Distribution, 2022
The increasing use of distributed generation (DG) in power systems can result in frequent online voltage problems. In scenarios in which substantial DG prediction errors occur because of high DG accommodation levels, traditional technical solutions ...
Peng Xu, Beibei Wang, Yue Zhang, Hong Zhu   +3 more
doaj   +1 more source

Examination of Chaotic Structures in Semiconductor or Alloy Voltage Time-Series: A Complex Network Approach for the Case of TlInTe₂

Physics, 2020
This paper proposes a method for examining chaotic structures in semiconductor or alloy voltage oscillation time-series, and focuses on the case of the TlInTe2 semiconductor.
Dimitrios Tsiotas, Lykourgos Magafas, Michael P. Hanias   +2 more
doaj   +1 more source