NDLI: Taxonomy of coherency detection and coherency-based methods for generators grouping and power system partitioning

Content Provider	IET Digital Library
Author	Koochi, Mohammad Hossein Rezaeian Esmaeili, Saeid Ledwich, Gerard
Abstract	In a bulk power system, generators can be divided into groups based on the variation of their swing curves after disturbance occurrence. In this regard, generators that have the same variations are placed in the same group and are called ‘coherent’. Identifying coherent generators is an important step in creating a reduced model of bulk power systems for dynamic wide-area analysis. The aim of this study is to provide a comprehensive and up-to-date bibliographic review of the literature related to coherency detection and power system partitioning after disturbance occurrence. In this study, coherency detection methods are classified into model-based and measurement-based categories. Furthermore, existing methods for power system partitioning based on coherency concept are also reviewed and categorised using two different criteria. Finally, the future trend toward coherency and coherent areas detection is discussed.
Starting Page	2597
Ending Page	2610
Page Count	14
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 12, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.7028
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.C. Machine Bulk Power System Coherency Concept Coherency Detection Method Coherency-based Method Coherent Areas Detection Coherent Generators Identification Disturbance Occurrence Dynamic Wide-area Analysis Electric Generators Generator Grouping Measurement-based Categories Model-based Categories Power System Identification Power System Measurement Power System Measurement And Metering Power System Partitioning Swing Curves Up-to-date Bibliographic Review
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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