Noise impact in the determination of synchronous machine equivalent circuits using SSFR data

Hernandez-Anaya, O.; Niewierowicz, T.; Campero‐Littlewood, E.; Escarela‐Perez, R.

doi:10.1109/iceee.2006.251852

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…A major drawback of this method is that the result can converge to a local minimum depending on the initial values used and the choice of model. Other more robust alternatives are presented in some publications, such as the Maximum Likelihood Method [24], genetic algorithms [25,26], and particle swarm optimization [27], or stochastic fractal search algorithm [28]. However, their implementation is more complex and requires more computing power than the methods suggested in the IEEE 115 standard [5].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

Leguebedj¹,

Boukhetala²,

Tadjine³

2022

PIER B

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This paper presents an analytical method for the optimal estimation of time constants of synchronous machine from Stand Still Frequency Response Testing (SSFR). We show that the analytical method is advantageous over the conventional one since the latter is based on curve fitting representing the variation of the operational inductance as a function of the frequency and provides inaccurate and non-unique solutions. In fact, the analytical method applies the standard theory of linear systems to locate the values of poles and zeros in the frequency response and determines the optimal order of the equivalent circuit that can model the machine accurately. The proposed method is simple, practicable, and effective. However, it needs an optimisation process based on parameter differentiation to improve the values of time constants. Based on the measured data, realistic tests are given to show the advantages of the method.

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Section: Introductionmentioning

confidence: 99%

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

Leguebedj¹,

Boukhetala²,

Tadjine³

2022

PIER B

View full text Add to dashboard Cite

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“…With all the developed tools and gained experience over the Standstill Frequency Response Test and Validation of a Large Hydrogenerator years, the basic difficulties emphasized in [8] remain challenging issues [16]- [18]. Moreover, the majority of recent SSFR experiments and new techniques were conducted mainly on small or special laboratory machines.…”

mentioning

confidence: 99%

Standstill Frequency Response Test and Validation of a Large Hydrogenerator

Belqorchi

Karaagac

Mahseredjian

et al. 2019

IEEE Trans. Power Syst.

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This paper intends to contribute to the revision process of the IEEE standard 115 by demonstrating the applicability of the Standstill Frequency Response (SSFR) test on large salient pole hydrogenerators. The presented SSFR tests are carried out on a 55.6 MVA salient pole machine with laminated rotor, non-continuous damper windings and a nonintegral slot number. The IEEE-115 SSFR test procedure is applied with special care to rotor positioning as well as accurate data acquisition in the low frequency range. The maximum likelihood estimation (MLE) method is utilized for machine parameter identification from the SSFR tests. Obtained parameters are compared with design values in addition to the ones obtained using traditional "sudden no-load three-phase short-circuit", Dalton-Cameron and "open stator d-axis transient time constant" methods. The accuracy of parameters is also confirmed by comparing the measured three-phase short-circuit current waveforms with the ones obtained by simulating the SSFR based machine models in an EMT-type software. Unlike to previous SSFR test cases on large salient pole hydrogenerators, accurate results are obtained.

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“…Para a máquina síncrona utilizada na presente dissertação, foi possível posicionar o rotor no eixo direto sem as dificuldades pontuadas pelo autor deste artigo. Hernandez et al (2006) estudaram o impacto do ruído na determinação dos parâmetros do circuito equivalente de uma máquina síncrona ensaiada no domínio da frequência. Para realizar o ensaio, foram utilizados circuitos equivalentes de um e três ramos amortecedores, respectivamente.…”

Section: O Estado-da-arteunclassified

Identificação de parâmetros de máquinas síncronas pelo ensaio de resposta em frequência utilizando rede neural LSTM.

Schimid¹

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RESUMOO presente trabalho visa o desenvolvimento de um método numérico para o ajuste da curva de indutância de uma máquina síncrona, proveniente do ensaio de resposta em frequência com a utilização de um inversor de frequência. Este método baseia-se na utilização da rede neural LSTM, bem como os métodos numéricos Simplex de Nelder e Mead e Média Móvel, para previsão de pontos nos extremos das altas e baixas frequências da curva de indutância, tendo em vista que as limitações do inversor impedem a obtenção destes pontos diretamente do arranjo em bancada. Desta forma, os parâmetros da máquina síncrona puderam ser obtidos com margem de erro máxima de 13%.Palavras-chave -Ensaio de resposta em frequência, LSTM, redes neurais.

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Noise impact in the determination of synchronous machine equivalent circuits using SSFR data

Cited by 4 publications

References 9 publications

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

An Optimization Analytical Method for Synchronous Machine Model Design From Operational Inductance Ld(s)

Standstill Frequency Response Test and Validation of a Large Hydrogenerator

Identificação de parâmetros de máquinas síncronas pelo ensaio de resposta em frequência utilizando rede neural LSTM.

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