Multiple Open-Circuit Faults Diagnosis in Back-to-Back Converters of PMSG Drives for Wind Turbine Systems

Jlassi, Imed; Estima, Jorge O.; Khil, Séjir Khojet El; Bellaaj, Najiba Mrabet; Cardoso, António J. Marques

doi:10.1109/tpel.2014.2342506

Cited by 194 publications

(83 citation statements)

References 43 publications

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“…In Ref. [123], a new algorithm was presented for multiple open-circuit fault diagnosis in full-scale back-to-back converters, which are used in the PMSG drives of wind turbine systems. The proposed method is based on a Luenberger observer and an adaptive threshold, which can independently guarantee a reliable diagnosis of the drive operating conditions.…”

Section: Fault Diagnosis Of Power Convertersmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

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Section: Fault Diagnosis Of Power Convertersmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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“…Hence, the frequency band of the sampling signal is subdivided into 32 small segments. The wavelet packet coefficient of each node on the fifth level can be calculated from (13) and (14). The energy of node j on the fifth level is given by…”

Section: Discrete Degree Of the Wavelet Packet Node Energymentioning

confidence: 99%

“…For instance, power converters are a key component in motor drives and their power switches are the most susceptible to failures, especially in harsh environments. In practice, open-and short-circuit faults of the power switches are the common failures [14]- [16], which lead to an adverse impact on the system performance. Although the SRM can still operate if a phase leg is lost to failure, its electromagnetic and mechanical performance deteriorates to some degree and the rotor is subjected to unbalanced force.…”

mentioning

confidence: 99%

Wavelet Packet Decomposition-Based Fault Diagnosis Scheme for SRM Drives With a Single Current Sensor

Gan

Yang

et al. 2016

IEEE Trans. Energy Convers.

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Abstract-Power converters are a key, but vulnerable component in switched reluctance motor (SRM) drives. In this paper, a new fault diagnosis scheme for SRM converters is proposed based on the wavelet packet decomposition (WPD) with a dc-link current sensor. Open-and short-circuit faults of the power switches in an asymmetrical half-bridge converter are analyzed in details. In order to obtain the fault signature from the phase currents, two pulse-width modulation signals with phase shift are injected into the lower-switches of the converter to extract the excitation current, and the WPD algorithm is then applied to the detected currents for fault diagnosis. Moreover, a discrete degree of the wavelet packet node energy is chosen as the fault coefficient. The converter faults can be diagnosed and located directly by determining the changes in the discrete degree from the detected currents. The proposed scheme requires only one current sensor in the dc link, while conventional methods need one sensor for each phase or additional detection circuits. The experimental results on a 750-W three-phase SRM are presented to confirm the effectiveness of the proposed fault diagnosis scheme.Index Terms-Current sensor, discrete degree, fault diagnosis, node energy, power converter, pulse-width modulation (PWM), switched reluctance motor (SRM), wavelet packet decomposition (WPD).

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“…Most of the literature on fault diagnosis in power electronics converters focuses on actuator faults [8], [9]. Specifically, in [8], a model-based fault detection and localization method is proposed considering only open-circuit semiconductor failures while in [9], an artificial neural network method is proposed for detecting and localizing short-and open-circuit actuator faults.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, in [8], a model-based fault detection and localization method is proposed considering only open-circuit semiconductor failures while in [9], an artificial neural network method is proposed for detecting and localizing short-and open-circuit actuator faults. Several works of the same group, [10]- [12], deployed model-free methodologies in order to diagnose open-circuited faults in inverters and unbalanced faults in rectifiers.…”

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection, Isolation, and Accommodation of Current Sensors in Grid Side Converters

Papadopoulos

Hadjidemetriou

Kyriakides

et al. 2017

IEEE Trans. on Ind. Applicat.

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Abstract-The integration of modern renewable energy sources is enabled by the Grid Side Converter (GSC) based on power electronic technology. The operation of the GSC is properly regulated by the GSC controller according to sensor measurements (i.e., of the grid voltage, of the line currents, and of the voltage at the DC-link). However, in case of current sensor faults, the operation of the GSC and of the entire renewable system can be critically affected and catastrophic failures may occur if the sensor fault is not accommodated on time. This paper proposes a model-based Fault Detection, Isolation and Accommodation (FDIA) scheme, which enables the GSC to overcome faults that may occur on the associated current sensors. The sensor fault detection and isolation scheme has been designed based on analytical redundancy relations, while the accommodation of the faults is based on an adaptive estimation scheme. The proposed FDIA scheme has been applied on a modern GSC and the effectiveness of the scheme has been tested under several multiple current sensor faults and under several grid conditions. Furthermore, the FDIA scheme enables the GSC to operate properly (without causing failures or damages to its components) under current sensor faults and thus, the reliability of the GSC is enhanced.

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Multiple Open-Circuit Faults Diagnosis in Back-to-Back Converters of PMSG Drives for Wind Turbine Systems

Cited by 194 publications

References 43 publications

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Wavelet Packet Decomposition-Based Fault Diagnosis Scheme for SRM Drives With a Single Current Sensor

Robust Fault Detection, Isolation, and Accommodation of Current Sensors in Grid Side Converters

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