Article, 2024

PINNSim: A simulator for power system dynamics based on Physics-Informed Neural Networks

ELECTRIC POWER SYSTEMS RESEARCH, ISSN 0378-7796, Volume 235, 10.1016/j.epsr.2024.110796

Contributors

Stiasny, Jochen (Corresponding author) [1] Zhang, Baosen [2] [3] Chatzivasileiadis, Spyros [1]

Affiliations

  1. [1] Tech Univ Denmark, Div Power & Energy Syst, Lyngby, Denmark
    2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Univ Washington, Elect & Comp Engn, Seattle, WA 98195 USA
    3. [NORA names: United States; America, North; OECD];
  3. [3] Univ Washington, Elect & Comp Engn, Seattle, WA 98195 USA
    4. [NORA names: United States; America, North; OECD]

Abstract

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Keywords

Differential-algebraic equations, Dynamical systems, Physics-Informed Neural Networks, Time-domain simulation

Data Provider: Clarivate

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