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

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Components and Systems Pub Date : 2024-02-06 DOI:10.1080/15325008.2024.2307396

Teng Yunxue, Sun Shuo, Zhang Haonian, Xing Shibiao, Yue Yuming, Zhang Ming, Zhu Shihua

引用次数: 0

Abstract

Broadband oscillations caused by power electronic devices contain a large number of high harmonics and interharmonics, and the frequencies of these harmonic/interharmonic components are likely to b...

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基于 CS-CNN-GRU 网络的电力系统剧烈振荡参数识别

电力电子设备引起的宽带振荡包含大量的高次谐波和间谐波，而这些谐波/间谐波成分的频率很可能是...

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来源期刊

Electric Power Components and Systems 工程技术-工程：电子与电气

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

7.2 months

期刊介绍： Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems. Specific topics covered include: -Electric machines- Solid-state control of electric machine drives- Power electronics converters- Electromagnetic fields in energy converters- Renewable energy generators and systems- Power system planning- Transmission and distribution- Power system protection- Dispatching and scheduling- Stability, reliability, and security- Renewable energy integration- Smart-grid and micro-grid technologies.