Estimation of synchronous generator parameters using the standstill step-voltage test and a hybrid Genetic Algorithm

Arjona, M. A.; Hernández, C.; Cisneros-González, M.; Escarela‐Perez, R.

doi:10.1016/j.ijepes.2011.10.003

Cited by 24 publications

(27 citation statements)

References 21 publications

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“…The results of the identification given in Table VI show the improvement of accuracy through stages 1-3. Finally, in stage 4, NEU parameters are identified using (8). Since these parameters have not a considerable impact on neither V t nor P e , the estimated output signals of this stage are similar to the last stage.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Simultaneous Parameter Identification of Synchronous Generator and Excitation System Using Online Measurements

Zaker

Gharehpetian

Karrari

et al. 2016

IEEE Trans. Smart Grid

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In this paper, a new method is presented to simultaneously identify parameters of synchronous generator and its excitation system (EXS) using measurement data. These measurements could be provided by metering devices such as data acquisition system or fault recorders of the power plant. Since a smart grid is capable of providing synchronized measurements using phasor measurement units, the desired data could also be provided by these devices. In the proposed method, the reference voltage of the EXS is considered as the input signal, while the terminal voltage and output active power of the machine are considered as output signals. The desired parameters are classified into three categories using a sensitivity analysis: 1) the parameters that affect the terminal voltage; 2) the parameters that affect the active power; and 3) the parameters that do not considerably affect either. A multistage genetic algorithm optimization is used to iteratively identify the parameters. To show the effectiveness and accuracy of the proposed method, it is applied to a single machine with a dc-type EXS connected to an infinite bus. Using the proposed method, 19 parameters of synchronous generator and its EXS are identified within four stages.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Simultaneous Parameter Identification of Synchronous Generator and Excitation System Using Online Measurements

Zaker

Gharehpetian

Karrari

et al. 2016

IEEE Trans. Smart Grid

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“…Decomposing out I sin(2pt s + u) from formula (3), and plugging it into (20) and (22), the following two formulas are obtained:…”

Section: Appendix Amentioning

confidence: 99%

“…The existing techniques, such as zero crossing technique [1,2], level crossing technique [3], least squares error technique [4][5][6], Newton method [7], Kalman filter [8][9][10][11][12], Fourier transform [13][14][15][16][17][18][19], wavelet transform [18], genetic algorithm [20], show good characteristics and better application results in processing the pure sinusoidal signals and multiple sinusoidal signals, but these techniques are not adaptive to be applied to processing exponential signals. In [21][22][23], Jun-Zhe Yang, Chih-Wen Liu and Ying-Hong Lin present two new algorithms, namely smart DFT (SDFT) and extended DFT (EDFT), for cases with waveforms consisting of integer and non-integer harmonics as well as exponential DC-offset terms.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation of low-voltage distribution systems in transient processes: Algorithm and simulation for RL circuits

Jiekang

2012

International Journal of Electrical Power & Energy Systems

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“…SSFR tests give a new way to identify parameters at standstill, they greatly enhance the safety of test and can identify q-axis parameters effectively. Nevertheless, this type of test is time-consuming at low frequencies and its device requirement is strict while some standstill time-domain response (SSTR) tests can offer an attractive alternative [10].…”

Section: Introductionmentioning

confidence: 99%

Standstill Time-Domain Response Parameter Estimation of the Large Synchronous Condenser in Arbitrary Rotor Position

Zhou

Wang

2020

IEEE Access

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The necessity to align the rotor with the d-q magnetic axes is the main obstacle for the wide application of synchronous machine standstill parameter tests, especially for the high-power units. This paper presents an arbitrary rotor position parameter estimation method for standstill time-domain response (SSTRs) tests and applied on a 300 MVar, 20 kV large synchronous condenser, a DC step voltage signal is selected as the input signal. Firstly, a frequency-domain Dalton-Cameron transformation is demonstrated and used to simultaneously obtain both axes' operational inductances in an arbitrary rotor position, thus eliminating the need for the rotor prepositioning process. Then, a novel analytical parameter estimation method combined with an I/T transformation is proposed, all the parameters of both axes are determined without extra tests, the mutual leakage flux between the field winding and the d-axis damper winding is also taken in account. To validate the proposed method, this test is carried out and its parameter estimation results are compared against that of the three-phase sudden short-circuit test and the traditional SSTR test. Estimation results are given in the form of I-type and T-type circuits, the maximum relative error no more than 6% and 10%, respectively. INDEX TERMS Parameter estimation, large synchronous condenser, standstill time-domain response, arbitrary rotor position NOMENCLATURE uabc stator three-phase voltage us stator input voltage iabc stator three-phase current ud, uq d-and q-axis voltage, respectively id, iq d-and q-axis current, respectively uf field winding voltage if, iD field and damper winding current, respectively iQ1, iQ2 q-axis damper winding 1, 2 current, respectively Ld, Lq d-and q-axis synchronous inductance, respectively Lad, Laq d-and q-axis armature reaction inductance, respectively Lsl stator leakage inductance Lfl, Ldl field and damper winding leakage inductance, respectively LQl1, LQl2 q-axis damper winding 1, 2 leakage inductance, respectively L d ' , L d '' d-axis transient and sub-transient inductance, respectively L q '' , L q ''' q-axis sub-transient and sub-subtransient inductance, respectively T d ' , T d '' d-axis transient and sub-transient shortcircuit time constant, respectively T d0 ' , T d0 '' d-axis transient and sub-transient opencircuit time constant, respectively T q '' , T q ''' q-axis sub-transient and sub-subtransient short-circuit time constant, respectively T q0 '' , T q0 ''' q-axis sub-transient and sub-subtransient open-circuit time constant, respectively Tf, TD field and damper winding leakage time constant, respectively ra, rs stator and armature resistance, respectively rf, rD field and damper winding resistance, respectively rQ1, rQ2 q-axis damper winding 1, 2 resistance, respectively  rotor position angle

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Estimation of synchronous generator parameters using the standstill step-voltage test and a hybrid Genetic Algorithm

Cited by 24 publications

References 21 publications

Simultaneous Parameter Identification of Synchronous Generator and Excitation System Using Online Measurements

Simultaneous Parameter Identification of Synchronous Generator and Excitation System Using Online Measurements

Parameter estimation of low-voltage distribution systems in transient processes: Algorithm and simulation for RL circuits

Standstill Time-Domain Response Parameter Estimation of the Large Synchronous Condenser in Arbitrary Rotor Position

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