Test and simulation of network dynamic response using SSFR and RTDR derived synchronous machine models

Rusche, P. A.; Brock, G.J.; Hannett, L. N.; Willis, J.R.

doi:10.1109/60.50826

Cited by 25 publications

(4 citation statements)

References 3 publications

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“…These tests are widely described in literature ( [8], [9], [1]). It is possible to build transfer functions corresponding to each SSFR test from measured characteristics and by considering fig.…”

Section: B Rotor Equationsmentioning

confidence: 99%

“…The rotor of the generator is described by transfer functions whose order depends on the desired accuracy. Standstill frequency response test are used to identify the machine model parameters ( [8], [9], [1]). The topology variation of the non linear load is represented by multi state space model depending on the rectifier operating mode.…”

Section: Non-linear Loadmentioning

confidence: 99%

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Modeling approach of a generator with non-linear load in embedded electrical network

Amelon

Aït‐Ahmed

Benkhoris

2008

2008 13th International Power Electronics and Motion Control Conference

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This paper deals with a modeling approach of an embarked electrical network. This network is composed of a synchronous generator feeding linear and non linear load. In order to simplify the identification of inaccessible part of the generator, a specific modeling approach of the machine is established. Thus, the rotor is modeled by generalized transfer functions. Its order is chosen to have the desired accuracy and short computation time. Transfer function parameters can be easily identified by SSFR (StandStill Frequency Response) identification method. The generated model takes into account the strong interaction between all network components and variable topology of the non linear load. Some time domain simulation results are given in the end of the paper and illustrate the efficiency of this modeling approach.

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Section: B Rotor Equationsmentioning

confidence: 99%

Section: Non-linear Loadmentioning

confidence: 99%

Modeling approach of a generator with non-linear load in embedded electrical network

Amelon

Aït‐Ahmed

Benkhoris

2008

2008 13th International Power Electronics and Motion Control Conference

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“…The linkage flux equations are (5) It is well known that (6) In steady state, with no damper winding currents, balanced load, neglecting the armature resistance and taking the angular speed equal to 1 p.u.…”

Section: A Steady Statementioning

confidence: 99%

Identification of synchronous machine parameters using load rejection test data

Bortoni

Jardini

2002

IEEE Trans. On Energy Conversion

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“…There, two of the machine terminals are shorted (b and c) and a field-excitation voltage is applied for a short period of time at lower than rated speeds. The RTDR and SSFR tests were compared in [13] on four generators, and the SSFR tests were found to be less expensive to implement and easier to schedule than RTDR tests. Kamwa et al [14] use a PWM excitation with a randomly variable duty ratio applied to the field winding in standstill.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a standstill parameter identification technique for the synchronous generator

Oteafy

Chiasson

Ahmed-Zaid

2016

International Journal of Electrical Power & Energy Systems

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This work presents the development of an offline standstill estimation technique, where the synchronous machine is locked at an arbitrary (but known) angle and is excited over a short period of time. The proposed time domain method requires few seconds of captured data in contrast to the well-known standard Standstill Frequency Response (SSFR) technique that could take more than 6 hours to conduct. This is based on nonlinear least squares estimation and algebraic elimination theory. The resulting algorithm is non-iterative where the data is used to construct polynomials that are solved for a finite number of roots which determine the electrical parameter values. Experimental results are presented showing the efficacy of the technique in furnishing the parameters of a salient pole synchronous machine.

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Test and simulation of network dynamic response using SSFR and RTDR derived synchronous machine models

Cited by 25 publications

References 3 publications

Modeling approach of a generator with non-linear load in embedded electrical network

Modeling approach of a generator with non-linear load in embedded electrical network

Identification of synchronous machine parameters using load rejection test data

Development and application of a standstill parameter identification technique for the synchronous generator

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