Coherency Identification of Generators Using a PAM Algorithm for Dynamic Reduction of Power Systems

Author:

Pyo Gi-Chan,Park Jin-Woo,Moon Seung-Il

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Cited by 5 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. Integration Impact of DRE on the Voltage Stability of Power Network;2021 18th International Multi-Conference on Systems, Signals & Devices (SSD);2021-03-22

2. Clustering in Power Systems Using Innovative Machine Learning/Deep Learning Methods;Application of Machine Learning and Deep Learning Methods to Power System Problems;2021

3. Taxonomy of coherency detection and coherency‐based methods for generators grouping and power system partitioning;IET Generation, Transmission & Distribution;2019-05-22

4. A new approach for online coherency identification in power systems based on correlation characteristics of generators rotor oscillations;International Journal of Electrical Power & Energy Systems;2016-12

5. A Novel Bio-Inspired Technique for Rapid Real-Time Generator Coherency Identification;IEEE Transactions on Smart Grid;2015-01

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