Modeling and Experimental Verification of a 100% Stator Ground Fault Protection Based on Adaptive Third-Harmonic Differential Voltage Scheme for Synchronous Generators

Jaafari, Khaled Al; Negahdari, Amir; Toliyat, H.A.; Safari-Shad, N.; Franklin, Russ

doi:10.1109/tia.2017.2682165

Cited by 28 publications

(4 citation statements)

References 9 publications

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“…But these latter methods are complex to implement. As an additional solution, 100% earth-stator protections can be used by combining a neutral overvoltage protection with a third harmonic minimum voltage protection [21].…”

Section: Introductionmentioning

confidence: 99%

Contactless Rotor Ground Fault Detection Method for Brushless Synchronous Machines Based on an AC/DC Rotating Current Sensor

Pardo-Vicente,

Guerrero,

Platero

et al. 2023

Sensors

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Brushless synchronous machines (BSMs) are replacing conventional synchronous machines with static excitation in generation facilities due to the absence of sparking and lower maintenance. However, this excitation system makes measuring electric parameters in the rotor challenging. It is highly difficult to detect ground faults, which are the most common type of electrical fault in electric machines. In this paper, a ground fault detection method for BSMs is proposed. It is based on an inductive AC/DC rotating current sensor installed in the shaft. In the case of a ground fault in the rotating parts of the BSM, a fault current will flow through the rotor’s sensor, inducing voltage in its stator. By analyzing the frequency components of the induced voltage, the detection of a ground fault in the rotating elements is possible. The ground faults detection method proposed covers the whole rotor and discerns between DC and AC sides. This method does not need any additional power source, slip ring, or brush, which is an important advantage in comparison with the existing methods. To corroborate the detection method, experimental tests have been performed using a prototype of this sensor connected to laboratory synchronous machines, achieving satisfactory results.

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Section: Introductionmentioning

confidence: 99%

Contactless Rotor Ground Fault Detection Method for Brushless Synchronous Machines Based on an AC/DC Rotating Current Sensor

Pardo-Vicente,

Guerrero,

Platero

et al. 2023

Sensors

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“…The zero-sequence fundamental over-voltage relay has blind zones near the generator neutral, so it can only be used to determine the fault at the generator terminal [1], [2]. The sub-harmonic voltage injection scheme with neutral grounding signal [3] and the third-harmonic voltage scheme [4] are important schemes to solve the blind zones. But the former requires additional sub-harmonic power supplies, which increases the investment costs for the implementation of protection, while the latter achieves certain applications.…”

Section: Introductionmentioning

confidence: 99%

Stator Single-Line-to-Ground Fault Protection for Bus-Connected Powerformers Based on S-Transform and Bagging Ensemble Learning

et al. 2020

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In order to achieve selective ground fault protection for bus-connected Powerformers and improve the reliability of the protection scheme, this paper presents a novel stator single-line-to-ground (SLG) fault protection scheme for bus-connected Powerformers based on S-transform (ST) and bagging ensemble learning algorithm. The scheme utilizes ST to decompose the zero-sequence current signals acquired from the Powerformer terminal to obtain the amplitude-time-frequency matrix. Then, fault features extraction is presented, and three features including the transient energy, the comprehensive correlation coefficient, and the zero-sequence active power are discussed and selected as feature vectors. The calculated data set is then extracted from feature vectors and used as inputs to the bagging ensemble learning algorithm to detect faults. Simulation results have shown that, under different fault conditions, the novel scheme can detect in which Powerformer a stator SLG fault is occurring and can detect internal faults from external faults reliably even if the fault resistance is at 8000. The proposed protection scheme does not need to set the threshold value and has noise-tolerant ability. Furthermore, the proposed technique performs better than support vector machine (SVM), random forest (RF) and k-Nearest Neighbor (KNN) techniques in detecting faults.

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“…In addition to frequency and active power, voltage and reactive power must be bounded and controlled in predefined ranges [10][11]. To achieve the goal, the generators must be controlled in a properly, so that the voltage drop and voltage rising are avoided at peak time or low demand, respectively [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

Hassanzadeh

Sangrody

Hajizadeh

et al. 2017

2017 North American Power Symposium (NAPS)

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Abstract-Power electronic converters enable wind turbines, operating at variable speed, to generate electricity more efficiently. Among variable speed operating turbine generators, permanent magnetic synchronous generator (PMSG) has got more attentions due to low cost and maintenance requirements. In addition, the converter in a wind turbine with PMSG decouples the turbine from the power grid, which favors them for grid codes. In this paper, the performance of back-to-back (B2B) converter control of a wind turbine system with PMSG is investigated on a faulty grid. The switching strategy of the grid side converter is designed to improve voltage drop caused by the fault in the grid while maximum available active power of wind turbine system is injected to the grid and the DC link voltage in the converter is regulated. The methodology of the converter control is elaborated in details and its performance on a sample faulty grid is assessed through simulation.Index Terms--Back-to-back (B2B) converter, direct-in-line wind turbine, permanent magnetic synchronous generator (PMSG), voltage drop, wind turbine control.

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Modeling and Experimental Verification of a 100% Stator Ground Fault Protection Based on Adaptive Third-Harmonic Differential Voltage Scheme for Synchronous Generators

Cited by 28 publications

References 9 publications

Contactless Rotor Ground Fault Detection Method for Brushless Synchronous Machines Based on an AC/DC Rotating Current Sensor

Contactless Rotor Ground Fault Detection Method for Brushless Synchronous Machines Based on an AC/DC Rotating Current Sensor

Stator Single-Line-to-Ground Fault Protection for Bus-Connected Powerformers Based on S-Transform and Bagging Ensemble Learning

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

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