Simple dynamic equivalent for fast online transient stability assessment

Miah, A.M.

doi:10.1049/ip-gtd:19981725

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…It is difficult to solve (25) directly since it is a strong nonlinear equation, but a Newton-Raphson iterative method is helpful in solving the equation. After _ U t is calculated, Z t and S L can be obtained by substituting _ U t into (21) and (22).…”

Section: Equivalent Modelingmentioning

confidence: 99%

“…Over the past decades, various dynamic equivalent techniques have been proposed for constructing the reduced equivalent system, such as the identification technique, the modal equivalent technique and the coherency equivalent technique [12][13][14][15][16][17][18][19][20][21][22]. In order to obtain the reduced large-scale AC/DC power system and hence to study the interaction characteristics between the AC and DC systems in the electromagnetic transient mode, it is necessary to retain all the HVDC links and their converters in the dynamic reduction process for their importance to the dynamic characteristics of the whole system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic reduction of large-scale AC/DC power systems via retaining the trunk network

Weng¹,

Xu²

2012

International Journal of Electrical Power & Energy Systems

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Section: Equivalent Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic reduction of large-scale AC/DC power systems via retaining the trunk network

Weng¹,

Xu²

2012

International Journal of Electrical Power & Energy Systems

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“…The algorithms presented in this brief introduce potential solutions to big data problems in power systems such as the proposed unsupervised data mining technique. Existing works in the literature offer offline algorithms for identification of coherency groups [7][8][9]. Also available are the online approaches and the first main difference among online and offline applications is related to the nature of the input signals used.…”

Section: Introductionmentioning

confidence: 99%

Online coherency identification and stability condition for large interconnected power systems using an unsupervised data mining technique

Barocio

Korba

Sattinger³

et al. 2019

IET Generation, Transmission & Distribution

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Identification of coherent generators and the determination of the stability system condition in large interconnected power system is one of the key steps to carry out different control system strategies to avoid a partial or complete blackout of a power system. However, the oscillatory trends, the larger amount data available and the non-linear dynamic behaviour of the frequency measurements often mislead the appropriate knowledge of the actual coherent groups, making wide-area coherency monitoring a challenging task. This paper presents a novel online unsupervised data mining technique to identify coherent groups, to detect the power system disturbance event and determine status stability condition of the system. The innovative part of the proposed approach resides on combining traditional plain algorithms such as singular value decomposition (SVD) and Kmeans for clustering together with new concept based on clustering slopes. The proposed combination provides an added value to other applications relying on similar algorithms available in the literature. To validate the effectiveness of the proposed method, two case studies are presented, where data is extracted from the large and comprehensive initial dynamic model of ENTSO-E and the results compared to other alternative methods available in the literature.

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“…The transient stability analysis of a power system, when subjected to a large disturbance, has always been an important issue. Extensive research activity has been pursued on solving this problem, resulting in various analysis approaches, among which the Extend Equal Area Criterion (EEAC) method and the Single Machine Equivalent (SIME) method play a significant role. These hybrid methods have a wide application in offline and online transient stability assessment because of their high accuracy and good adaptability.…”

Section: Introductionmentioning

confidence: 99%

A phase‐plane trajectory vector‐based method for real‐time identification of critical machines

Yang

Hojo

Zhang

2018

IEEJ Transactions Elec Engng

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The identification of critical machines (CMs) is the first and most important step of Equivalent‐Single Machine Infinite Bus based methods such as Extend Equal Area Criterion and SIngle Machine Equivalent (SIME) for transient stability assessment and control. This paper presents a novel real‐time CM identification method based on the Phase‐Plane Trajectory Vector (PTV) with Phase Measurement Unit (PMU) information support. The proposed method overcomes the drawbacks of conventional CM identification methods and enables the tracking of the change of CMs during the dynamic process. Only two sample points of all generators from PMUs are required to obtain the PTVs at each moment, and the computation of the feature matrix, as well as the k‐means clustering, is fast and accurate. The application of the PTV‐based method is verified through cases studied in the IEEE 39 bus New England power system. Results are compared with those obtained by conventional methods. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

show abstract

Simple dynamic equivalent for fast online transient stability assessment

Cited by 12 publications

References 5 publications

Dynamic reduction of large-scale AC/DC power systems via retaining the trunk network

Dynamic reduction of large-scale AC/DC power systems via retaining the trunk network

Online coherency identification and stability condition for large interconnected power systems using an unsupervised data mining technique

A phase‐plane trajectory vector‐based method for real‐time identification of critical machines

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