Possibility of large synchronous generator parameters estimation via on-line field tests using genetic algorithm

Jahromi, M.E.; Firouzi, Bahman Bahmani; Ranjbar, Ali Mohammad

doi:10.1109/poweri.2006.1632629

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…The generator model parameter estimation was performed by the least squares method. In the estimation process, these parameters are selected in such a way as to minimize the mean square error defined for deviations (determined in the i -th time instants) between the measured waveforms (filtered from the noise) and the waveforms calculated on the basis of the mathematical model according to the relationship [9,12] ε(P) = 1 2…”

Section: The Methodology Of Investigationsmentioning

confidence: 99%

“…The measurement methods for determining parameters of synchronous generators can be divided into two basic groups: the methods using the results of measurements at the machine standstill [1][2][3][4][5] and the methods using the results of measurements at the rotating machine [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…The methods using the results of measurements at the rotating machine, eg at load rejection or change in the voltage regulator reference voltage, do not have these disadvantages [9,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Berhausen

Paszek

2016

Journal of Electrical Engineering

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In recent years, there have occurred system failures in many power systems all over the world. They have resulted in a lack of power supply to a large number of recipients. To minimize the risk of occurrence of power failures, it is necessary to perform multivariate investigations, including simulations, of power system operating conditions. To conduct reliable simulations, the current base of parameters of the models of generating units, containing the models of synchronous generators, is necessary. In the paper, there is presented a method for parameter estimation of a synchronous generator nonlinear model based on the analysis of selected transient waveforms caused by introducing a disturbance (in the form of a pseudorandom signal) in the generator voltage regulation channel. The parameter estimation was performed by minimizing the objective function defined as a mean square error for deviations between the measurement waveforms and the waveforms calculated based on the generator mathematical model. A hybrid algorithm was used for the minimization of the objective function. In the paper, there is described a filter system used for filtering the noisy measurement waveforms. The calculation results of the model of a 44 kW synchronous generator installed on a laboratory stand of the Institute of Electrical Engineering and Computer Science of the Silesian University of Technology are also given. The presented estimation method can be successfully applied to parameter estimation of different models of high-power synchronous generators operating in a power system.

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Section: The Methodology Of Investigationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Berhausen

Paszek

2016

Journal of Electrical Engineering

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“…It is worth mentioning that the magnetic flux of the machine can be estimated in real-time by using estimation methods such as Kalman filter [32][33][34][35] and other online methods [36], among which the Kalman approach is accurate, fast, robust, and simple.…”

Section: Estimationmentioning

confidence: 99%

Precision enhancement of the traditional sub‐synchronous analysis by using frequency components of instantaneous magnetic flux

Yaghobi

2021

IET Generation Trans & Dist

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Sub-synchronous resonance (SSR) is a great danger to the stable and safe operation of the synchronous generator and power network. Detecting this condition in a fast and precise method is very important for power engineers. During the last decade, many methods have been proposed for SSR detection. The most famous of these methods use shaft speed analysis. On the other hand, it is noteworthy that SSR is a phenomenon that needs the use of both mechanical and electrical quantities for its analysis. Therefore, if both kinds of the signal are used, the protection system reliability can be enhanced significantly and its trip is more efficient and consistent. Subsequently, to enhance the precision and sensitivity of the SSR detection, this paper proposes the use of frequency analysis of the magnetic flux linkage of the generator as an electrical signal along with the shaft speed as a mechanical signal. The magnetic flux is a local index that is available at the relay location and does not require a communication channel to transmit. This index contains a lot of useful information about the performance of the machine. However, the main disadvantage of this index is its accessibility, which requires invasive sensors.

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“…3) преобразование Хартли [13]; 4) метод наименьших квадратов [14][15][16][17][18][19]; 5) методы искусственного интеллекта [20][21][22][23][24][25][26][27][28][29][30][31]; 6) псевдослучайная двоичная последовательность [32,33]; 7) анализ переходных процессов при двухфазном КЗ [34] и пуске [35];…”

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Overview of Methods for Determining Parameters of Synchronous Generators

Бердин¹,

Мойсейченков²,

Коваленко³

et al. 2020

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A synchronous generator is one of the key elements of any power system, having a significant impact on the stability and reliability of consumers’ power supply. Nowadays, the power systems emergency and operational control issues are being solved using computational models, the parameters whereof are determined using the reference data, or the data obtained during testing. High dependence of the models’ parameters on various external factors leads to a significant decrease in the accuracy of solving the issues of emergency and operational control. Identification based on the traditional telemetry systems or synchrophasor measurements is used to improve the accuracy of parameters of the power systems’ computational models. The purpose of this research lies in a meta-analysis of the available studies aimed at developing a methodology for determining parameters of a synchronous generator on the basis of measurement data. Russian and foreign studies were analyzed and grouped to achieve this goal. After that, for each group, advantages, disadvantages, and the area of application were identified. As a result, it is shown that the existing methods for determining parameters of synchronous generators based on measurement data cannot adapt to the source dataset and also require significant computing power. As a way to overcome these shortcomings, an adaptive model of a synchronous machine is proposed.

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Possibility of large synchronous generator parameters estimation via on-line field tests using genetic algorithm

Cited by 7 publications

References 5 publications

Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Precision enhancement of the traditional sub‐synchronous analysis by using frequency components of instantaneous magnetic flux

Overview of Methods for Determining Parameters of Synchronous Generators

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