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Probabilistic assessment of power system transient stability incorporating SMES

  • Published:2013-01 Issue: Volume:484 Page:276-281
  • ISSN:0921-4534
  • Container-title:Physica C: Superconductivity
  • language:en
  • Short-container-title:Physica C: Superconductivity

Author:

Fang Jiakun,Yao Wei,Wen Jinyu,Cheng Shijie,Tang Yuejin,Cheng Zhuo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Cited by 12 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 Review on Superconducting Magnetic Energy Storage System Applications;Energy Storage Applications in Power Systems;2023-08-30

2. Improved Multi-point estimation method based probabilistic transient stability assessment for power system with wind power;International Journal of Electrical Power & Energy Systems;2022-11

3. Prediction of probabilistic transient stability using support vector regression;Australian Journal of Electrical and Electronics Engineering;2022-08-13

4. Application of supervised machine learning for prediction of probabilistic transient stability;Australian Journal of Electrical and Electronics Engineering;2021-12-19

5. Probabilistic transient stability assessment of power system considering wind power uncertainties and correlations;International Journal of Electrical Power & Energy Systems;2020-05
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