A fast algorithm for coherency identification and dynamic equivalencing of power systems

Balasubramanian, R.; Tripathy, S.C.; Shivanna,

doi:10.1109/ace.1990.762641

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…-The coherent groups are independent of the amount of detail in the machine model, i.e. in the coherency procedure the real parameters and properties of the machines and governors in forms of non-linear behaviour are not considered in spite of all enhancements in the coherency strategy [12,13]. The objectives are to introduce procedures [14] to construct groups of machines with improved accuracy and to consider essentially non-linear characteristics and behaviour of the generators regarding their physical properties and their devices.…”

Section: Electromechanical Distance and Identity Recognition In Dynammentioning

confidence: 99%

Electromechanical distance and identity recognition in dynamic equivalencing

Lino

Fette²,

Ramirez

2005

2005 IEEE Russia Power Tech

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This paper describes the innovative concept of a electromechanical approach for recognition the identical behaviour of machines for various power system disturbances. This aspect is used as a basis for generating nonlinear dynamic equivalents which can be applied in transient stability studies incorporating the physical model parameters of the generators. The approach is developed on the basis of the identity conditions, which are solved using standard pattern recognition algorithms. The principal property of this approach consists of the introduction of an electromechanical distance that it significantly improves the accuracy and efficiency of calculating identity-based dynamic equivalents and thereby enhances their consistency, effectiveness and application.Test of these approach have been performed and evaluated in large-scale model of the European Interconnected Electric Power System (western European Union for the Coordination of Transmission of Electricity (UCTE), the central European power system (CENTREL)).

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Section: Electromechanical Distance and Identity Recognition In Dynammentioning

confidence: 99%

Electromechanical distance and identity recognition in dynamic equivalencing

Lino

Fette²,

Ramirez

2005

2005 IEEE Russia Power Tech

View full text Add to dashboard Cite

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“…CLASSICAL DYNAMIC EQUIVALENCING AND PROBLEM FORMULATION Various methods are proposed, in particular by exploiting modal and coherency properties. These classic methods are: coherency [1][2][3][4][5], modal analysis [8][9][10] and system identification [14]. The conventional dynamic equivalencing involves a three stage procedure of: i. Coherency Identification: A coherent group of machines is defined as a group of generators oscillating with the same phase angle of the rotor angular speed [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…The conventional dynamic equivalencing involves a three stage procedure of: i. Coherency Identification: A coherent group of machines is defined as a group of generators oscillating with the same phase angle of the rotor angular speed [1,2]. This linearized simplified model addresses the following disadvantages: -Coherent groups forming the corresponding equivalents are not exact enough, since the performance of an equivalent system tends to depend on the applied disturbance [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Approaches for Dynamic Equivalencing in Power Systems

Lino

Fette

Dong

et al. 2006

2006 IEEE PES Power Systems Conference and Exposition

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This paper addresses innovative nonlinear approaches for dynamic equivalencing of machines for interconnected power systems. In contrast to the existing approaches that consider only fixed equivalencing steps without taking into consideration the machine parameters, these approaches reformulate the classical conditions incorporating real electromechanical model parameters and behaviours of the machines in the dynamic equivalencing. These aspects enable the integration of modern and intelligent techniques, such as the pattern recognition algorithms, Fuzzy concept as machine splitting factor and the system identification by dynamical artificial neural networks. The electromechanical-based approaches generate accurate robust, non-linear dynamic equivalents and thereby enhance significantly their consistency and practical application on network reliability, management and planning.Test of these approaches have been performed and evaluated in large-scale model of the European Interconnected Electric Power System (UCTE/CENTREL) and 16 multi machine system.

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Coherency identification using growing self organizing feature maps [power system stability]

Nababhushana¹,

Veeramanju²,

Shivanna³

Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137)

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A fast algorithm for coherency identification and dynamic equivalencing of power systems

Cited by 4 publications

References 8 publications

Electromechanical distance and identity recognition in dynamic equivalencing

Electromechanical distance and identity recognition in dynamic equivalencing

Nonlinear Approaches for Dynamic Equivalencing in Power Systems

Coherency identification using growing self organizing feature maps [power system stability]

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