A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis-Reference-Cited by-同舟云学术

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A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis

Published:2023 Issue: Volume: Page:1-15
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Xu Yijun¹^ORCID,Wang Qinling¹,Mili Lamine²^ORCID,Zheng Zongsheng³^ORCID,Gu Wei¹^ORCID,Lu Shuai¹^ORCID,Wu Zhi¹^ORCID

Affiliation:

1. Electrical Engineering Department, Southeast University, Nanjing, Jiangsu, China

2. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Northern Virginia Center, Falls Church, VA, USA

3. College of Electrical Engineering, Sichuan University, Chengdu, China

Funder

science and technology project of the State Grid Corporation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/4374138/10219065.pdf?arnumber=10219065

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4. Disturbance Frequency Trajectory Prediction in Power Systems Based on LightGBM Spearman;Electronics;2024-01-31

5. Deep Bilinear Koopman Model Predictive Control for Nonlinear Dynamical Systems;IEEE Transactions on Industrial Electronics;2024

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