A Study of Intelligent Evaluation of Power System Transient Stability Based on Improved SVM Algorithm-Reference-Cited by-同舟云学术

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A Study of Intelligent Evaluation of Power System Transient Stability Based on Improved SVM Algorithm

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture
language:
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Author:

Wang Qian¹

Affiliation:

1. Information Center, Hangzhou Dianzi University, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3421766.3421823

Reference12 articles.

1. Transient stability enhancement by series braking resistor control using local measurements

2. ENHANCEMENT OF POWER SYSTEM TRANSIENT STABILITY OF A MULTIMACHINE BASED ON INTERACTIONS OF PSS WITH FACTS DEVICES

3. Linear daily UC model to improve the transient stability of power system

4. Sensitivity‐based approach for real‐time evaluation of transient stability of wind turbines interconnected to power grids

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. EM-TSA: An ensemble machine learning-based transient stability assessment approach for operation of power systems;Mathematical Biosciences and Engineering;2023

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