Identification of Intensive Oscillation Parameters of Power System Based on CS-CNN-GRU Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Identification of Intensive Oscillation Parameters of Power System Based on CS-CNN-GRU Network

Published:2024-02-06 Issue: Volume: Page:1-11
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Yunxue Teng¹,Shuo Sun¹,Haonian Zhang¹,Shibiao Xing¹,Yuming Yue¹,Ming Zhang¹,Shihua Zhu¹

Affiliation:

1. State Grid Siping Power Supply Company, Siping, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2307396

Reference22 articles.

1. Modal analysis of dense natural oscillation mode power system;Shuqiang Z.;Automat. Power Syst.,2011

2. Modal sensitivity method for identifying dense oscillation modes in power systems;Yixin L.;Power Syst. Protect. Control,2020

3. Wideband oscillation identification of power system based on improved CNN-LSTM;Yan Z.;Smart Power,2022

4. A harmonic analysis logic circuit based on improved phase-locked loop;Gen L.;Electric Power Syst. Automat.,2007

5. M. Ningning, X. Xiaorong, H. Jingbo, et al., “Review of broadband oscillation research in power systems with high proportion of new energy and power electronic equipment,” Proceedings of the Chinese Society for Electrical Engineering, 2020, no. 15, pp. 4720–4731.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP