Physics-Guided Deep Neural Networks for Power Flow Analysis

• Published in: IEEE transactions on power systems Vol. 36; no. 3; pp. 2082 - 2092
• Main Authors: Hu, Xinyue, Hu, Haoji, Verma, Saurabh, Zhang, Zhi-Li
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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 However, PF equations can be out-of-date or even unavailable due to system dynamics, and uncertainties, making tradition...