Online Health Monitoring of DC-Link Capacitors in Modular Multilevel Converters for FACTS and HVDC Applications

Asoodar, Mohsen; Nahalparvari, Mehrdad; Danielsson, Christer; Söderström, Rasmus; Nee, Hans‐Peter

doi:10.1109/tpel.2021.3091780

Cited by 38 publications

(23 citation statements)

References 29 publications

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“…Both voltage and current measurements are subject to measurement errors. This consists of both offset errors and measurement noise [8]. Offset errors can be readily compensated.…”

Section: B Measurement Noise and Extraction Of The On-state Resistancementioning

confidence: 99%

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Accurate Condition Monitoring of Semiconductor Devices in Cascaded H-Bridge Modular Multilevel Converters

Asoodar¹,

Nahalparvari²,

Zhang

et al. 2023

IEEE Trans. Power Electron.

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This paper presents an online condition monitoring (CM) scheme for semiconductors used in modular multilevel converters (MMCs) that comprise cascaded H-bridge submodules. The CM algorithm is based on detecting changes in the ONstate resistance of the semiconductors over time. The proposed method is shown to successfully perform a curve-tracing of semiconductors in MMCs while the semiconductor junction remains at a temperature that is readily measurable and undergoes minute changes during the measurement process. The ON-state resistance value is estimated from the measured ON-state voltage drop of the semiconductors and the measured arm current. Measuring the ON-state resistance at known temperatures allows for separating temperature-dependent variations of the ONstate resistance from age-dependent variations of this parameter. Suitable methods for reducing the effect of noise on the curvetraced data are proposed, and a recursive least square (RLS) estimator is used to extract the optimum ON-state resistance from the traced vCE − iC curve. Simulation results show that the proposed scheme can accurately determine the ON-state resistance of semiconductors at a known temperature and under various levels of measurement noise. Moreover, experimental results on a low-power prototype show that the proposed scheme is applicable in practice, and provides similar online curves to what a commercial curve tracer can produce offline. The experimental verification has been conducted under constant load conditions; however, the proposed methods can be used under any variable load condition as well.

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“…Both voltage and current measurements are subject to measurement errors. This consists of both offset errors and measurement noise [8]. Offset errors can be readily compensated.…”

Section: B Measurement Noise and Extraction Of The On-state Resistancementioning

confidence: 99%

“…Online CM for SM capacitors in MMCs is well addressed in the literature [8], [9]. Moreover, online monitoring of semiconductor devices in MMCs has been presented in [10], where the ON-state collector-emitter voltage v CE,ON is used as a health indicator.…”

Section: Introductionmentioning

confidence: 99%

Accurate Condition Monitoring of Semiconductor Devices in Cascaded H-Bridge Modular Multilevel Converters

Asoodar¹,

Nahalparvari²,

Zhang

et al. 2023

IEEE Trans. Power Electron.

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“…For instance, the arm inductance dominates the high frequency input impedance [17] and thus, its value can be approximated by injecting high frequency perturbations. The arm capacitance can be approximated using either the second-order harmonic ripple of the capacitor voltages [24], or by data driven methods [25]. In this paper, full knowledge of the converter circuit structure and parameters has been assumed, and only parts of the control system have been treated as a black-box.…”

Section: System Modelmentioning

confidence: 99%

DC-Side Impedance Estimation of a Modular Multilevel Converter Through System Identification of a Partially Black-Boxed Control System

Nahalparvari

Asoodar

Jahn

et al. 2022

IEEE Trans. Energy Convers.

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“…Deriving an accurate arm current depends on knowing the submodule capacitance value accurately. Thus, the capacitance value should be periodically updated with a proper method during normal operation [13]. Moreover, the capacitor voltage measurement circuit should have a sufficiently high precision to calculate the derivative of the voltage between the consecutive control cycles.…”

Section: Submodule Closed-loop Current Controller Designmentioning

confidence: 99%

Wireless control of modular multilevel converter autonomous submodules

Çiftçi

Harnefors

Wang

et al. 2021

2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)

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The wireless control of modular multilevel converter (MMC) submodules might offer advantages for MMCs with a high number of submodules. However, the control system should tolerate the stochastic nature of the wireless communication, continue the operation flawlessly or, at least, avoid overcurrents, overvoltages, and component failures. The previously proposed control methods enabled to control the submodules wirelessly with consecutive communication errors up to hundreds of control cycles. The submodule control method in this paper facilitates the MMC to safely overcome communication errors that last longer and when the MMC experiences significant electrical disturbances during the errors. The submodules are proposed to operate autonomously by implementing a replica of the central controller in the submodules and drive the replicas based on the local variables and the previously received data. The simulation and experimental results verify the proposed control method.

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Online Health Monitoring of DC-Link Capacitors in Modular Multilevel Converters for FACTS and HVDC Applications

Cited by 38 publications

References 29 publications

Accurate Condition Monitoring of Semiconductor Devices in Cascaded H-Bridge Modular Multilevel Converters

Accurate Condition Monitoring of Semiconductor Devices in Cascaded H-Bridge Modular Multilevel Converters

DC-Side Impedance Estimation of a Modular Multilevel Converter Through System Identification of a Partially Black-Boxed Control System

Wireless control of modular multilevel converter autonomous submodules

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