Results 281 to 290 of about 2,362,134 (317)

Graph-Model-Based Generative Layout Optimization for Heterogeneous SiC Multichip Power Modules With Reduced and Balanced Parasitic Inductance

IEEE transactions on power electronics, 2022
Multichip silicon carbide power modules with integrated snubbers are promising for large-capacity converters with high speed and cost efficiency. In the design stage, the parasitic inductance of module layout generally attracts the primary efforts of ...
Yu Zhou, Yuting Jin, Yu Chen, Haoze Luo, Wuhua Li, Xiangning He   +5 more
semanticscholar   +1 more source

Physically Meaningful Grid Analytics on Voltage Measurements using Graph Spectra

2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2020
Time synchronized measurements of voltage magnitudes or phasors are increasingly common in electrical networks. Voltage measurement statistics are informative of the underlying network structure or topology making them useful for grid monitoring. However, this connection is poorly understood and many proposed voltage analytics are purely heuristic.
Mohini Bariya, Alexandra von Meier, Keith Moffat   +2 more
openaire   +1 more source

Algebraic specification of interconnection network relationships by permutation voltage graph mappings

Mathematical Systems Theory, 1996
Symmetries of large networks are used to simplify the specification of a guest-host network relationship. The relevant kinds of symmetries occur not only in Cayley graphs and in group-action graphs, but elsewhere as well. In brief, the critical topological symmetry property of a guest or host is that it is algebraically specifiable as a covering space ...
Jianer Chen, Jonathan L. Gross
openaire   +2 more sources

Multi-Agent Safe Graph Reinforcement Learning for PV Inverters-Based Real-Time Decentralized Volt/Var Control in Zoned Distribution Networks

IEEE Transactions on Smart Grid
To realize real-time voltage/var control (VVC) in active distribution networks (ADNs), this paper proposes a new multi-agent safe graph reinforcement learning method to optimize reactive power output from PV inverters. The network is divided into several
Rudai Yan, Q. Xing, Yan Xu
semanticscholar   +1 more source

Physics-Informed Graphical Representation-Enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control

IEEE Transactions on Smart Grid
The anomalous measurements and inaccurate distribution system physical models cause huge challenges for distribution system optimization. This paper proposes a robust voltage control method that can deal with them by systematically integrating a ...
Di Cao, Junbo Zhao, Jiaxiang Hu, Yansong Pei, Qi Huang, Zhe Chen, Weihao Hu   +6 more
semanticscholar   +1 more source

Topology identification method for residential areas in low-voltage distribution networks based on unsupervised learning and graph theory

Electric power systems research, 2023
Haifeng Li, Wenzhao Liang, Yuansheng Liang, Zhikeng Li, G. Wang   +4 more
semanticscholar   +1 more source

Non-intrusive load monitoring based on semi-supervised smooth teacher graph learning with voltage–current trajectory

Neural computing & applications (Print), 2022
Yinghua Han, Keke Li, Hantong Feng, Qiang Zhao   +3 more
semanticscholar   +1 more source

A new voltage binning technique for yield improvement based on graph theory

Thirteenth International Symposium on Quality Electronic Design (ISQED), 2012
In this paper, we propose a new voltage binning technique to improve yield. Voltage binning technique tries to assign different supply voltages to different chips in order to improve the yield. A novel valid voltage segment concept is proposed, which is determined by the timing and power constraints of chips.
Ruijing Shen, Xue-Xin Liu, Sheldon X.-D. Tan   +2 more
openaire   +2 more sources

A graph attention networks-based model to distinguish the transient rotor angle instability and short-term voltage instability in power systems

International Journal of Electrical Power & Energy Systems, 2022
Runfeng Zhang, W. Yao, Zhongtuo Shi, Lingkang Zeng, Yong Tang, J. Wen   +5 more
semanticscholar   +1 more source

A method of multivariate short-term voltage stability assessment based on heterogeneous graph attention deep network

International Journal of Electrical Power & Energy Systems, 2022
Zhi Zhong, L. Guan, Yinsheng Su, Jingxi Yu, Jiyu Huang, Mengxuan Guo   +5 more
semanticscholar   +1 more source