ANN observer for on-line estimation of synchronous generator dynamic parameters

Shafighi, A.; Chahkandi, H.; Jahani, Reza; Fazli, Mehrdad; Shayanfar, Heidar Ali

doi:10.1109/iccsn.2011.6014179

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…For the shortcomings of offline methods to be overcome, the online methods to determine parameters with the machine connected in the grid have been proposed. [10][11][12][13] New online approaches such as using an observer from neural networks and Prony method can be found in Shafighi et al, 14 Shariati et al, 15 and Deghani and Nikravesh, 16 respectively. In addition in Karayaka et al 17 the generator parameters are estimated using operating data.…”

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confidence: 99%

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A comparative validation of a synchronous generator by trajectory sensitivity and offline methods

Beordo

Cari

Landgraf

et al. 2016

Int. Trans. Electr. Energ. Syst.

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Summary This paper addresses a comparison between online and offline methods to estimate parameters of a synchronous generator. The main aim of this comparison is to validate the results of a new online method based on trajectory sensitivity method against offline method. Steady‐state, sudden short circuit, and voltage recovery tests were selected among the offline methods to serve of comparison for trajectory sensitivity method. The online method has the following features: It uses only terminal voltages and currents and field voltage measurements, it does not need the power angle, and it estimates the power angle using an auxiliary algebraic equation. Tests were conducted in a 2‐kVA salient pole machine, and the differences in parameter values obtained from each approaches were analyzed. Eventually, it is concluded that technique based on trajectory sensitivity provides more reliable generator parameters of estimation process.

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confidence: 99%

“…In addition in Karayaka et al 17 the generator parameters are estimated using operating data. In all those researches [14][15][16][17] the availability of power angle measurement is necessary to estimate the parameter, which is not always possible in practice.…”

mentioning

confidence: 99%

A comparative validation of a synchronous generator by trajectory sensitivity and offline methods

Beordo

Cari

Landgraf

et al. 2016

Int. Trans. Electr. Energ. Syst.

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An Estimation and Correction Combined Method for HVDC Model Parameters Identification

Wang

et al. 2021

IEEE Access

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Identifying correct model parameters is important for actual power system operation and control. Though existing gradient decent method shows good timeliness, it would converge to wrong results because of inevitable linearization process when applied for strongly nonlinear models. To make up this shortcoming, an estimation and correction combined method is proposed in this paper, by which the gradient method is expected to have better initial values for avoiding the local optimum trap. In the estimation process, pattern matching is utilized based on the constructed post-disturbance trajectory based typical parameters matching database. To construct the typical parameters matching database, correlation coefficient based forward and backward cluster method is applied, with which the typical parameters matching database can be updated conveniently and quickly. In the correction process, a novel comprehensive evaluation index is put forward for gradient decent method to evaluate parameter identification effects reasonably. Finally, the proposed combined parameter identification method is verified with standard high voltage direct current (HVDC) models together with parameter sensitivity analysis, and results show effectiveness.

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Review of Methods for Determining Parameters of Synchronous Generators Computational Model

Berdin

Moiseichenkov

Kovalenko

et al. 2021

2021 XVIII International Scientific Technical Conference Alternating Current Electric Drives (ACED)

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ANN observer for on-line estimation of synchronous generator dynamic parameters

Cited by 4 publications

References 12 publications

A comparative validation of a synchronous generator by trajectory sensitivity and offline methods

A comparative validation of a synchronous generator by trajectory sensitivity and offline methods

An Estimation and Correction Combined Method for HVDC Model Parameters Identification

Review of Methods for Determining Parameters of Synchronous Generators Computational Model

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