Frequency mode identification using modified masking signal‐based empirical mode decomposition-Reference-Cited by-同舟云学术

Frequency mode identification using modified masking signal‐based empirical mode decomposition

Published:2019-03-27 Issue:8 Volume:13 Page:1266-1276
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Ray Papia¹,Lenka Rajesh Kumar¹^ORCID,Biswal Monalisa²

Affiliation:

1. Department of Electrical EngineeringVeer SurendraSai University of TechnologyBurlaOdishaIndia

2. Department of Electrical EngineeringNational Institute of TechnologyRaipurChhattisgarhIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5527

Reference38 articles.

1. A comprehensive computer program package for small signal stability analysis of power systems

2. Application of sparse eigenvalue techniques to the small signal stability analysis of large power systems

3. Synchronized Phasor Measurements and Their Applications

4. Xie X. Zhang S. Xiao J. et al.: ‘Small signal stability assessment with online eigenvalue identification based on wide‐area measurement system’.Proc. IEEE Int. Conf. Transmission and Distribution Asia and Pacific Dalian China 2005 pp.1–5

Cited by 9 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. Multi-method piecewise low-frequency identification;International Journal of Electrical Power & Energy Systems;2024-10

2. Adaptively Optimized Masking EMD for Separating Intrinsic Oscillatory Modes of Nonstationary Signals;IEEE Signal Processing Letters;2024

3. Introduction to Power Quality in Microgrids;Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques;2023

4. An Empirical Analysis of Machine Learning Algorithms for Solar Power Forecasting in a High Dimensional Uncertain Environment;IETE Technical Review;2022-11-14

5. Assessment of Mode Shape in Power System Using TVF-EMD and Spectral Analysis;Electric Power Components and Systems;2022-04-21