Coherency based decomposition and aggregation

Kokotović, P.V.; Avramovic, B.; Chow, Joe H.; Winkelman, J.

doi:10.1016/0005-1098(82)90025-5

Cited by 63 publications

(22 citation statements)

References 11 publications

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“…5-6 it is clear that for the same tolerance limit, the Krylov subspace technique produces lesser number of coherent groups, indicating that the generator groups are loosely coherent among themselves. Some generators (marked 1,2,3,4,5,6,8,11,12,14,17,18,19,20,21,22,24,25,26,27,32,33 Table I. A three phase self clearing fault at bus 146 in the study area was applied at 0.5 s. The duration of the fault was 0.05 sec.…”

Section: Mor Of a 50 Machine Test Systemmentioning

confidence: 99%

A comparative study of two model order reduction approaches for application in power systems

Ghosh

Senroy

2012

2012 IEEE Power and Energy Society General Meeting

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The objective of this paper, is to compare two mathematical model order reduction (MOR) approaches -Balanced Truncation and Krylov subspace. The application of these approaches to large power systems is studied. The main focus has been to show how the two approaches are effective in finding dynamic patterns such as coherency between generators. The performance has been studied under changing system damping conditions. Index Terms-Balanced Truncation (BT), Krylov subspace, Hankel Singular Values (HSV), Model order reduction (MOR).

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Section: Mor Of a 50 Machine Test Systemmentioning

confidence: 99%

A comparative study of two model order reduction approaches for application in power systems

Ghosh

Senroy

2012

2012 IEEE Power and Energy Society General Meeting

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“…According to (3), the rotor motion equation of multimachine power systems can be derived as below [20,21].…”

Section: Generators Clustering Modelmentioning

confidence: 99%

Two-stage controlled islanding strategy based on Stoer-Wagner and improved Dinic algorithms

Tang

Jia

Chen

et al. 2016

J. Mod. Power Syst. Clean Energy

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The controlled islanding for the power system is an effective method to deal with the emergent situations caused by large disturbances. The size of the solution space would increase exponentially as the scale of the power grid increases. The goal of our controlled islanding strategy is to divide the system into several islands quickly. Meanwhile, the generator coherency and the power-flow disruption have to be taken into consideration carefully. This paper proposed a two-stage fast islanding strategy for large power networks, which is on the basis of large power grid graph theories. In the first stage, the Stoer-Wagner algorithm is employed to obtain the grouping cluster of coherent generators in the dynamic undirected liaison graph. In the second stage, the improved Dinic max-flow method is proposed to search the optimal splitting boundary so as to acquire the minimum power flow impact. Our two-stage islanding strategy does not need to reduce the whole power network. Simulations on IEEE 118-bus and 162-bus power systems showed that the proposed strategy can acquire high quality solutions effectively and efficiently.

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“…A time scale modeling methodology was developed for Markov chains with weak interactions by Gaitsgori and Pervozvanski (1975, Delebecque and Quadrat (1981), Phillips and Kokotovic (1981), Delebecque (1983), andCoderich et al (1983) and for networks with weak connections by Avramovic, et al (1980), Kokotovic (1981), Kokotovic, et al (1982), Peponides, et al (1982), and Peponides and Kokotovic (1983), summarized in a monograph by Chow, et al (1982).…”

Section: Time Scale Modeling Of Networkmentioning

confidence: 99%

Applications of Singular Perturbation Techniques to Control Problems

Kokotović¹

1984

SIAM Rev.

387

126

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This paper discusses typical applications of singular perturbation techniques to control problems in the last fifteen years. The first three sections are devoted to the standard model and its time-scale, stability and controllability properties. The next two sections deal with linear-quadratic optimal control and one with cheap (near-singular) control. Then the composite control and trajectory optimization are considered in two sections, and stochastic control in one section. The last section returns to the problem of modeling, this time in the context of large scale systems. The bibliography contains more then 250 titles. D IS T R I B U T I O N / A V A I L A B I L I T Y O F A B S T R A C T U N C L A S S I F I E D / U N L I M I T E D S S A M E A S R PT. □ O T I C U S E R S □ 21. A B S T R A C T S E C U R I T Y C L A S S I F I C A T I O NUnclassified S E C U R I T Y C L A S S I F I C A T I O N O F T H IS P A G E S E C U R IT Y C L A S S IF IC A T IO N O F TH IS P A G E S E C U R I T Y C L A S S I F I C A T I O N O F T H I S P A G E APPLICATIONS OF SINGULAR PERTURBATION TECHNIQUES

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Coherency based decomposition and aggregation

Cited by 63 publications

References 11 publications

A comparative study of two model order reduction approaches for application in power systems

A comparative study of two model order reduction approaches for application in power systems

Two-stage controlled islanding strategy based on Stoer-Wagner and improved Dinic algorithms

Applications of Singular Perturbation Techniques to Control Problems

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