An open‐switch fault detection scheme in the IGBT‐based PWM power converter used in DFIG connected to DC‐bus

Summary In this manuscript, a novel Kernel PCA‐ESMO technique is proposed for protecting the system and diagnosing the exact fault occuring in the DFIG. The proposed method is joined implementation of Kernel principal component analysis (Kernel PCA) and enhanced Spider Monkey Optimization SMO (ESMO) technique, and, hence, it is named Kernel PCA‐ESMO approach. Here, two phases are considered for fault analysis; they are fault identification and diagnosis. Primarily, the first phase identifies the system fault conditions of DFIG in grid‐connected system using Kernel PCA approach. After that, the ESMO classifies the type of fault that has occurred in the DFIG. The major scope of the proposed Kernel PCA‐ESMO method is to guarantee the system with less complexity for fault identification and diagnosis for enhancing the power quality of whole system. The implementation of proposed model is made at MATLAB/Simulink, and implementation is evaluated by existing techniques. The statistic analysis of proposed and existing systems of mean, median, and SD is analyzed. The efficiency of proposed and existing technique is also evaluated. The obtained values for percentage recall and precision that are enhanced using proposed technique are 97.8% and 98%. Consequently, the simulation outcome indicates that the efficiency of proposed technique and implementation of proposed strategy is compared to existing systems.

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“…DFIG model is explained on synchronous reference frame 37 . The modeling of DFIG is demonstrated at Figure 3.…”

Section: Modeling Of Dfig‐based Wind Turbinementioning

confidence: 99%

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Stallon¹,

Rajkumar

2021

Int Trans Electr Energ Syst

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“…However, the system is always threatened by harsh working conditions such as high temperature, vibration, and even corrosion, which leads to unexpected failures. Research data show that in the entire PMSM closed‐loop control system, the drive is most prone to breakdown [6–8]. High‐frequency on–off power electronic components are prone to short‐circuit or open‐circuit fault due to factors such as high temperature and vibration.…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant control of PMSM based on NTSMC and NLFO

Fuxiang

Wang

2021

Asian Journal of Control

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In this work, a reliable fault-tolerant control scheme is proposed for open-circuit faults of the drive in a three-phase permanent magnet synchronous motor (PMSM) control system. A three-phase four-switch fault-tolerant topology drive is employed to guarantee the continuous operation after fault occurrence. A non-singular terminal sliding mode control (NTSMC) scheme is proposed to improve the robustness and the dynamic performance of the post-fault system.To estimate the information of fault, a nonlinear learning fault observer is constructed. Based on the fault information, a compensation term is added to the control scheme against the adverse effects of the transition process. Simulation results show that the proposed fault-tolerant control scheme enables the system to track the desired reference commands in the absence/presence of faults with satisfactory performance and achieves smooth transition for control law switching.

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“…The insulated gate bipolar transistor (IGBT) is the core component of the converter. The statistical data presented in [2,3] show that failures in converters are a significant contributor to the overall failure rate of modern WTs, the failure rate of converters is higher compared with the other components, where annual failure rate becomes to more than 15%, and 34% of failures in converters result from IGBTs. With the power generation capacity of WTs increases gradually, the demand for reliability and safety of power converters is increasing.…”

Section: Introductionmentioning

confidence: 99%

Open-Circuit Faults Diagnosis in Direct-Drive PMSG Wind Turbine Converter

Zhang¹,

Ling²,

Zhao³

et al. 2021

Energy Engineering

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The condition monitoring and fault diagnosis have been identified as the key to achieving higher availabilities of wind turbines. Numerous studies show that the open-circuit fault is a significant contributor to the failures of wind turbine converter. However, the multiple faults combinations and the influence of wind speed changes abruptly, grid voltage sags and noise interference have brought great challenges to fault diagnosis. Accordingly, concerning the open-circuit fault of converters in direct-driven PMSG wind turbine, a diagnostic method for multiple open-circuit faults is proposed in this paper, which is divided into two tasks: The first one is the fault detection and the second one is the fault localization. The detection method is based on the relative current residuals after exponential transformation and on an adaptive threshold, and the localization method is based on the average values of fault phase currents. The scheduled diagnosis method is available to both the generator-side converter and the grid-side converter, allowing to detect and locate single and double open-circuit faults. For validating this, robustness test and multiple open-circuit faults diagnosis are presented in a 2-MW direct-driven PMSG wind turbine system, the results validate the reliability and effectiveness of the proposed method.

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An open‐switch fault detection scheme in the IGBT‐based PWM power converter used in DFIG connected to DC‐bus

Cited by 8 publications

References 36 publications

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Fault‐tolerant control of PMSM based on NTSMC and NLFO

Open-Circuit Faults Diagnosis in Direct-Drive PMSG Wind Turbine Converter

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