Neural Networks Based Lyapunov Functions for Transient Stability Analysis and Assessment of Power Systems-Reference-Cited by-同舟云学术

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Neural Networks Based Lyapunov Functions for Transient Stability Analysis and Assessment of Power Systems

Published:2023-03 Issue:2 Volume:59 Page:2626-2638
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Wang Tong¹^ORCID,Wang Xiaotong¹^ORCID,Liu Guangmeng¹,Wang Zengping¹,Xing Qipeng¹

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10077487/10002311.pdf?arnumber=10002311

Reference36 articles.

1. Transient Stability Analysis of Multi-Machine AC/DC Power Systems via Energy-Function Method

2. Intelligent Time-Adaptive Transient Stability Assessment System

3. dReal: An SMT Solver for Nonlinear Theories over the Reals

4. Direct methods for transient stability analysis of power systems: Recent results

Cited by 2 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. Power System Transient Stability Assessment Using Convolutional Neural Network and Saliency Map;Energies;2023-11-24

2. T-S Fuzzy Model Based Large-Signal Stability Analysis of DC Microgrid With Various Loads;IEEE Access;2023

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