Data Learning-based Frequency Risk Assessment in a High-penetrated Renewable Power System

Jiaxin WEN; Siqi BU; Qiyu CHEN; Bowen ZHOU

doi:10.12096/j.2096-4528.pgt.20105

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Data Learning-based Frequency Risk Assessment in a High-penetrated Renewable Power System

Power Generation Technology Vol. 42, Issue 1, Pages: 40-47(2021)

Power System Planning|Updated：2025-07-04

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- Data Learning-based Frequency Risk Assessment in a High-penetrated Renewable Power System
- Affiliations：
  1.Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon District, Hong Kong S. A. R. 999077, China
  2.China Electric Power Research Institute, Haidian District, Beijing 100192, China
  3.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning Province, China
- Author bio：
- Funds：
  National Natural Science Foundation of China(51807171);Hong Kong Research Grants Council(15200418);Hong Kong Research Grants Council(15219619);Natural Science Foundation of Guangdong Province(2019A1515011226)
- DOI：10.12096/j.2096-4528.pgt.20105
  CLC：
- Accepted：
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