Short-circuit test based maximum likelihood estimation of stability model of large generators

Wamkeue, R.; Kamwa, Innocent; Dai-Do, X.

doi:10.1109/60.766977

Cited by 28 publications

(7 citation statements)

References 10 publications

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“…This could explain the strong interest in on-line parameter identification tests [7], [8] but most parameter estimation algorithms are based on voltage-controlled models of synchronous machines [7]- [10]. It might be interesting to explore other state model structures that can predict decrement tests of synchronous machine in both the frequency and the time domains.…”

Section: Introductionmentioning

confidence: 97%

Two-port circuits based hybrid model of synchronous machine

Wamkeue

Bensaker

2005

IEEE International Conference on Electric Machines and Drives, 2005.

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The paper introduces the so-called hybrid state model of a synchronous machine based on the superposition principle of the two-port representation of d-axis (two-port circuits) and the single-port structure of q-axis equivalent circuits. The detailed formulation of the hybrid state model is developed in terms of the equivalent-circuit parameters of the machine. Analytical expressions of terminal voltages and the field current following the decrement tests are derived. A practical application of the model for the load rejection test analysis is investigated. Comparisons are made between simulation results and actual data obtained from a laboratory machine to assess the efficacy of the proposed synchronous generator framework analysis.

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Section: Introductionmentioning

confidence: 97%

Two-port circuits based hybrid model of synchronous machine

Wamkeue

Bensaker

2005

IEEE International Conference on Electric Machines and Drives, 2005.

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“…As reported in [1], selecting the appropriate system model structure is, without a doubt, the most important yet and, at the same time, the most difficult stage of the identification procedure. In fact, since the beginning of the 1990s, powerful time-domain identification tools have been proposed to compute electric machine parameters [2][3][4][5]. However, in the work on these tools, less interest is given to the model derivation than to the identification techniques.…”

Section: Introductionmentioning

confidence: 98%

“…However, in the work on these tools, less interest is given to the model derivation than to the identification techniques. This might justify in part why the voltage-controlled state model structure has been used intensively in the last few decades [2,3,5]. Meanwhile, identification procedures using state models usually provide the synchronous generator (SG) equivalent-circuit parameters.…”

Section: Introductionmentioning

confidence: 99%

Determination of Synchronous Generator Parameters from Time-variant Analytical Load-rejection Curve Fitting

Wamkeue

Jolette

Kamwa

2011

Electric Power Components and Systems

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In this article, the decoupled property of the recently developed so-called hybrid model is used to derive time-variant analytical waveforms of the phase voltage and the field current following the load-rejection test. In the proposed identification approach, these time-variant responses are fitted to actual data using the asymptotic weighted least squares estimator along with a Newton-type optimization algorithm to compute the 4-pole 1.5-kVA, 208-V, 60-Hz laboratory synchronous generator parameters. In order to assess the robustness of the proposed identification scheme more thoroughly, the synchronous generator estimated parameters were successfully applied at the cross-validation stage using the symmetrical three-phase short-circuits test data.

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“…A large number of state-based SG models that contributes to solve these problems are presented in the literature. In fact, the well-known and most used 'impedances models', only adapted for stator decrement tests simulations, and intensively applied for sudden short-circuit tests prediction, have been proposed [11][12][13][14]. Also, the hybrid model developed in [15] is adapted for the performances prediction of synchronous generator subjected to rotor decrement tests such as the load rejection and field short-circuit tests.…”

Section: Introductionmentioning

confidence: 99%