Physics-Guided Deep Neural Networks for Power Flow Analysis

Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc. However, PF equations can be out-of-date or even unavailable due to system dynamics, and uncertainties, making tradition...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 36; H. 3; S. 2082 - 2092
Hauptverfasser:	Hu, Xinyue, Hu, Haoji, Verma, Saurabh, Zhang, Zhi-Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Computational modeling data-driven analysis Electrical impedance Knowledge engineering Machine learning Mathematical model Mathematical models Neural networks Numerical models Physics physics-guided learning Power flow Power flow analysis power flow solver Power systems System dynamics Topology
ISSN:	0885-8950, 1558-0679
Online-Zugang:	Volltext
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