Volume 22, Issue 3 (JIAEEE Vol.22 No.3 2025)                   Journal of Iranian Association of Electrical and Electronics Engineers 2025, 22(3): 0-0 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Jafari M, Ravanji M H, Mohammad Amini A, Setareh M, Parniani M. A Comprehensive Review of Dynamic Model Order Reduction Methods of Power Systems Using Coherency Methods. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (3)
URL: http://jiaeee.com/article-1-1747-en.html
A Comprehensive Review of Dynamic Model Order Reduction Methods of Power Systems Using Coherency Methods
Mohammadreza Jafari , Mohammad Hasan Ravanji * , Alireza Mohammad Amini , Mohammad Setareh , Mostafa Parniani
Sharif University of Technology
Abstract:   (491 Views)
The ever-increasing consumption of electricity has necessitated the continuous expansion of power networks. As these networks grow and the order of the dynamic system models increases, the complexity and duration of numerous studies, such as stability analyses, become excessively high. Therefore, the use of model order reduction techniques becomes crucial. To address this, power engineers typically divide the network under study into two regions: the study area and the external area. A reduced model is then used for the external area to both expedite various studies in the study area and account for the external area's influence in these analyses. This review paper meticulously examines coherency-based methods as the most commonly used techniques for reducing the order of power system models, detailing the advantages and disadvantages of each method. This provides guidance for selecting the most appropriate method for the intended application.
Keywords: Dynamic model order reduction, coherency, generator aggregation, power network dimensionality reduction
     
Type of Article: Review | Subject: Power
Received: 2024/07/31 | Accepted: 2024/11/29
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This Journal is an open access Journal Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. (CC BY NC 4.0)