Analysis of fault current contribution of Doubly-Fed Induction Generator Wind Turbines during unbalanced grid faults

El-Naggar, Ahmed; Erlich, I.

doi:10.1016/j.renene.2016.01.045

Cited by 27 publications

(14 citation statements)

References 8 publications

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“…A literature review on the effects of DG, especially wind power generation, on system characteristics under fault conditions, has been carried out [7][8][9][10][11]. The characteristics of the current signals in the system under fault conditions are significantly changed when installing the DG into the system [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Condition monitoring and fault diagnosis in wind turbines, using the HET-P system and Internet-based remote monitoring, was proposed in order to increase the reliability of the system with a DG connection [10]. In [11], the research proposed that faults in the system consist of Doubly fed induction generator (DFIG) wind turbines, due to a new requirement of the grid code. A smart grid system with a high level of renewable energy penetration, especially wind farms, requires accurate and rapid fault location algorithms in order to prevent the tripping of out of wind power generators [12].…”

Section: Literature Reviewmentioning

confidence: 99%

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Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Patcharoen

Ngaopitakkul

2019

Sustainability

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This paper proposed a fault type classification algorithm in a distribution system consisting of multiple distributed generations (DGs). The study also discussed the changing of signal characteristics in the distribution system with DGs during the occurrence of different fault types. Discrete Wavelet Transform (DWT)-based signal processing has been used to construct a classification algorithm and a decision tree to classify fault types. The input data for the algorithm is extracted from the three-phase current signal under normal conditions and during fault occurrence. These signals are recorded from the substation, load, and DG bus. The performance of the proposed classifying algorithm has been tested on a simulation system that was modeled after part of Thailand’s 22 kV distribution system, with a 2-MW wind power generation as the DG, connected to the distribution line by PSCAD software. The parameters that were taken into consideration consisted of the fault type, location of the fault, location of DG(s), and the number of DGs, to evaluate the performance of the proposed algorithm under various conditions. The result of the simulation indicated significant changes in current signal characteristics when installing DGs. In addition, the proposed algorithm has achieved a satisfactory accuracy in terms of identifying and classifying fault types when applied to a distribution system with multiple DGs.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Patcharoen

Ngaopitakkul

2019

Sustainability

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“…The negative sequence flux component in rotor windings induced by the stator negative sequence forced flux can be neglected, because η 2rs is near zero under the different rotor slips for a fixed-speed IG in Figure 2a. However, there are still negative sequence short-circuit currents of IGs caused by the grid negative sequence voltages, especially, the negative sequence current of a variable-speed IG is mainly influenced by the control structures and objectives in its machine side and line side converters [19]. The rotor resistance of a variable-speed IG will increase significantly after its crowbar protection activation during grid faults and the magnitude of η 2rs will stay in the range of 0.2-0.3 pu under different rotor slips, as shown in Figure 2b.…”

Section: Stator and Rotor Flux Of Igs During Grid Faultsmentioning

confidence: 99%

“…The voltage phasors of each node in the positive and negative sequence fault component networks can be derived as Equation (19) using the superposition principle in fault analysis:…”

Section: Initial Value Calculation For Short-circuit Currentsequence mentioning

confidence: 99%

Short-Circuit Calculation in Distribution Networks with Distributed Induction Generators

Zhou

Wang

et al. 2016

Energies

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This paper presents an improved current source equivalent model method to determine the short-circuit current of a distribution system with multiple fixed-speed and variable-speed induction generators (IGs). The correlation coefficients of flux components between stator and rotor under the unsymmetrical fault are analyzed using the positive and negative sequence steady-state equivalent circuits of an IG. The terminal voltage and current responses of fixed-speed and variable-speed IGs with and without the rotor slip changes under different penetration levels are compared to investigate the coupling relation between the short-circuit currents of IGs and the nodal voltages in the distribution network. Then the transient equivalent potential of an IG at the grid fault instant is derived. Sequence components of the short-circuit current in the network can be determined using the proposed technique. The correctness of the proposed method is verified using dynamic simulation.

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“…(25) can be found by solving the general cubic formula [13]. However, this would result in complex formulas [18], and an easier way is to again apply singular perturbation as before which would result in more relaxed formulas as follows: …”

Section: Dfig Fault Response With Feed-forward Controlmentioning

confidence: 99%

Standard Calculation of Fault Current Contribution of Doubly Fed Induction Generator-Based Wind Turbine

El-Naggar¹

2016

Wind Turbines - Design, Control and Applications

Self Cite

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The fault current contribution of the doubly fed induction generator-based wind turbines (DFIG-WTs) is dictated by a combination of factors, including the electrical parameters of the machine and the controller configuration of the converters. A detailed manufacturerbased simulation model for DFIG-WT was used for detailed analysis of the controller influences on short-circuit parameters. Based on the analysis, new approximate expressions of the short-circuit parameters were introduced and a new mathematical model of the short-circuit current were developed. The mathematical models and the expressions were later validated using nonlinear optimization for parameter extraction. Subsequently, a new method was introduced for fault current contribution calculation in a simple and reliable way similar to IEC-60909. The method is based on linearization and a newly introduced correction factor that takes the influence of the controller into account. Finally, the new introduced method was tested on a small wind farm and the results show better accuracy in comparison with IEC-60909.

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Analysis of fault current contribution of Doubly-Fed Induction Generator Wind Turbines during unbalanced grid faults

Cited by 27 publications

References 8 publications

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Fault Classifications in Distribution Systems Consisting of Wind Power as Distributed Generation Using Discrete Wavelet Transforms

Short-Circuit Calculation in Distribution Networks with Distributed Induction Generators

Standard Calculation of Fault Current Contribution of Doubly Fed Induction Generator-Based Wind Turbine

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