Two Novel Approaches for Identification of Synchronous Machine Parameters From Short-Circuit Current Waveform
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9703198/09451573.pdf?arnumber=9451573
Cited by 11 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. A systematic approach to modeling synchronous generator using Markov parameters and Takagi–Sugeno fuzzy systems;Expert Systems with Applications;2024-01
2. Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators;IEEE Transactions on Industrial Informatics;2023-03
3. Study of Power Dynamic System and Synchronous Machine Modeling;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14
4. Variable parameter practical model of synchronous generator for precise simulation of power system;IET Generation, Transmission & Distribution;2022-07-12
5. Parameter identification of small distributed hydro generators during excitation system start‐up;IET Generation, Transmission & Distribution;2022-05-23
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