PINNSim: A simulator for power system dynamics based on Physics-Informed Neural Networks-Reference-Cited by-同舟云学术

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

Published:2024-10 Issue: Volume:235 Page:110796
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Stiasny Jochen^ORCID,Zhang Baosen^ORCID,Chatzivasileiadis Spyros^ORCID

Funder

European Research Council

Publisher

Elsevier BV

Reference27 articles.

1. Power system dynamic response calculations;Stott;Proc. IEEE,1979

2. Solving power system differential algebraic equations using differential transformation;Liu;IEEE Trans. Power Syst.,2020

3. Parareal in time for fast power system dynamic simulations;Gurrala;IEEE Trans. Power Syst.,2016

4. Time-Domain Simulation of Large Electric Power Systems using Domain-Decomposition and Parallel Processing Methods;Aristidou,2015

5. Artificial neural networks for solving ordinary and partial differential equations;Lagaris;IEEE Trans. Neural Netw.,1998

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method;IEEE Transactions on Power Systems;2024-09

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