Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

Shahbazi, Mahmoud; Saadate, Shahrokh; Poure, Philippe; Zolghadri, Mohammad Reza

doi:10.1016/j.epsr.2016.04.004

Cited by 27 publications

(19 citation statements)

References 32 publications

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“…Different failure types can affect the stand‐alone DFIG‐based WECS. Several studies have been proposed on the different types of failures in wind systems and their diagnostic methods, such as: gearbox, pitch angle control system, generator, signals measurement board, and power converters . According to Yang and Chai, the failure rate of the power electronic converter is higher compared with the other components of WECS (Figure ).…”

Section: Introductionmentioning

confidence: 99%

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

Touaiti

Azza

Jemli

2019

Int Trans Electr Energ Syst

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Summary This paper addresses the diagnosis of open‐switch fault in pulse‐width modulation (PWM) power converter based on insulated‐gate bipolar transistor (IGBT) used in doubly‐fed induction generator‐direct current (DFIG‐DC) system. The fault diagnosis is carried out by analyzing the rotor currents within healthy and faulty operation conditions. In the new proposed configuration of DFIG connected to DC‐bus, the diode rectifier is employed to connect the stator windings to the DC‐bus and the PWM power converter is employed to connect the rotor windings to the DC‐bus. The main goal of using a PWM power converter is to keep the stator voltage and frequency constant at rated values. In this regard, the various experimental results for open‐circuit faults are obtained by using dSpace DS1104 control board. Some experimental results are obtained, proving the effectiveness of the proposed diagnosis approach such as low detection time and high robustness against false alarms.

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Section: Introductionmentioning

confidence: 99%

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

Touaiti

Azza

Jemli

2019

Int Trans Electr Energ Syst

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“…Ante la ocurrencia de estas fallas se generan grandes oscilaciones de par y velocidad en el eje del rotor y oscilaciones de potencia activa y reactiva reduciendo además la vidaútil de los capacitores del DC-Link (Pan et al, 2011). La detección y aislamiento de estas fallas es de vital importancia para identificar las llaves que presentan un mal funcionamiento, lo que podría permitir aplicar estrategias tolerantes a fallas como las que se presentan en Shahbazi et al (2016) y Feng et al (2013).…”

Section: Introductionunclassified

Diagnóstico de Fallas en el Convertidor del Rotor en Generadores de Inducción con Rotor Bobinado

González

Angelo

Forchetti

et al. 2018

Rev. iberoam. autom. inform. ind.

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ResumenEn este artículo se presenta una estrategia de diagnóstico de fallas por llave abierta en el convertidor del rotor de generadores de inducción con rotor bobinado. La estrategia utiliza observadores de estado basados en modelos dinámicos obtenidos a partir de un enfoque que utiliza geometría diferencial. Estos observadores permiten generar señales de residuo sensibles a cada falla considerada e insensibles a perturbaciones. A partir de estas señales se construye un vector de residuos con información que puede ser utilizada para la detección y el aislamiento de la falla. La estrategia de detección consiste en la evaluación de la envolvente de la norma del vector de residuos. El aislamiento requiere evaluar la región del plano recorrida por el vector de residuos y comparar dicha región con la asociada a cada escenario de falla. Finalmente se presentan resultados donde se demuestra que la propuesta permite detectar, aislar e identificar fallas de llave abierta, simples o múltiples, aún frente a errores paramétricos y otras perturbaciones.Palabras Clave: Generador de inducción con rotor bobinado, Convertidor del rotor, Falla por llave abierta, Observadores, Escenarios de falla, Diagnóstico de fallas Detection and Isolation of Faults on the Rotor Side Converter of Doubly Fed Induction Generators AbstractThis article presents a fault diagnosis strategy for open switch faults in the rotor side converter of doubly fed induction generators. The proposed strategy uses state observers based on dynamic models obtained from an approach based on differential geometry. These observers allow the generation of residue signals that are sensitive to each fault and insensitive to disturbances. From these signals a residual vector is constructed with information that can be used for the detection and isolation of the fault. The detection strategy consists of evaluating the envelope of the module of the residual vector. Isolation requires evaluating the region of the plane described by the residual vector and comparing that region with the one associated with each fault scenario. Finally, results are presented where it is demonstrated that the proposal allows to detect, isolate and identify open switch faults, both single and multiple, even against parametric errors and other disturbances.

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“…For the fault problems of WECSs, in recent years, there is a great deal of research work focusing on the fault-tolerant control of WECS [12][13][14][15][16][17][18][19]. Shahbazi [12] designed a six/five-leg converter to realize active fault-tolerant control for open-circuit switch faults to solve unknown but bounded noise and modeling errors.…”

Section: Introductionmentioning

confidence: 99%

“…Shahbazi [12] designed a six/five-leg converter to realize active fault-tolerant control for open-circuit switch faults to solve unknown but bounded noise and modeling errors. In [13], an adaptive step-by-step sliding mode observer and a compensation fault-tolerant control (FTC) strategy were developed for wind turbine pitch systems to maintain nominal pitching performance and compensate the considered low pressure actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System

et al. 2018

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Abstract:Wind energy has been drawing considerable attention in recent years. However, due to the random nature of wind and high failure rate of wind energy conversion systems (WECSs), how to implement fault-tolerant WECS control is becoming a significant issue. This paper addresses the fault-tolerant control problem of a WECS with a probable actuator fault. A new stochastic model predictive control (SMPC) fault-tolerant controller with the Conditional Value at Risk (CVaR) objective function is proposed in this paper. First, the Markov jump linear model is used to describe the WECS dynamics, which are affected by many stochastic factors, like the wind. The Markov jump linear model can precisely model the random WECS properties. Second, the scenario-based SMPC is used as the controller to address the control problem of the WECS. With this controller, all the possible realizations of the disturbance in prediction horizon are enumerated by scenario trees so that an uncertain SMPC problem can be transformed into a deterministic model predictive control (MPC) problem. Finally, the CVaR object function is adopted to improve the fault-tolerant control performance of the SMPC controller. CVaR can provide a balance between the performance and random failure risks of the system. The Min-Max performance index is introduced to compare the fault-tolerant control performance with the proposed controller. The comparison results show that the proposed method has better fault-tolerant control performance.

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Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

Cited by 27 publications

References 32 publications

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

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

Diagnóstico de Fallas en el Convertidor del Rotor en Generadores de Inducción con Rotor Bobinado

Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System

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