کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
398705 | 1438765 | 2012 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Estimation of synchronous generator parameters using the standstill step-voltage test and a hybrid Genetic Algorithm Estimation of synchronous generator parameters using the standstill step-voltage test and a hybrid Genetic Algorithm](/preview/png/398705.png)
The parameter estimation of a synchronous generator using the dc-step voltage is presented in this paper. The dc-step voltage is a standstill experiment needed to generate the required data to estimate the fundamental parameters of the d–q axis equivalent circuits. A hybrid Genetic Algorithm is used in the estimation process. A model with one damper winding along each axis is adopted. The unequal mutual effect of field and d-axis damper windings is taken into account. To check the validity of the estimated parameters, a sudden three-phase short-circuit test is applied at the generator terminals. The measured data are compared against the simulation response of the machine model using the parameters estimated from the dc-step voltage. Furthermore, the description of the developed experimental setups for both standstill and online tests is presented. A synchronous generator of 7 kVA, 220 V, 1800 rpm, 60 Hz was used in the study.
► We estimate the model parameters of synchronous generators using a step voltage.
► Fundamental parameters were estimated using a stochastic optimization method.
► The model was validated with the sudden three-phase short-circuit of a 7 kVA generator.
► An experimental setup that allows the acquisition of generator variables was used.
Journal: International Journal of Electrical Power & Energy Systems - Volume 35, Issue 1, February 2012, Pages 105–111