Thermal Optimization Strategy Based on Second-Order Harmonic Circulating Current Injection for MMCs

Zhao, Jifeng; Deng, Fujin; Hu, Weihao; Du, Yali; Abulanwar, Sayed

doi:10.1109/access.2021.3084998

Cited by 7 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the actual operation of MMC, all SMs need to constantly switch except for the "off" state, meaning that the capacitors in the SMs are in a constant process of charging and discharging [4][5][6][7]. DC support capacitors are subjected to high temperatures in addition to complex electrical stresses during operation [8,9]. A large number of heat-generating devices, such as insulated gate bipolar transistors (IGBTs) and DC support capacitors, lead to high temperatures in the converter valve hall.…”

Section: Introductionmentioning

confidence: 99%

The Time, Electric Field, and Temperature Dependence of Charging and Discharging Currents in Polypropylene Films

et al. 2023

View full text Add to dashboard Cite

The insulating properties of polypropylene (PP) film play a very important role in the operating status of direct current (DC) support capacitors. Charging and discharging currents in PP film under high DC electric fields and temperatures correspond to charge transportation and accumulation, which significantly influence the electrical insulating properties of PP. In this paper, we have comprehensively studied the dependence of charging/discharging currents in PP film on time, electric field (150–670 kV/mm), and temperature (40–120 °C). The results showed that the charging current increased by almost an order of magnitude from 150 kV/mm to 670 kV/mm and exhibits a steep increase with temperature above 80 °C. The discharging currents are about 10 times less than the corresponding charging currents. Carrier mobility varies little with the electric field and becomes slightly larger with an increase in temperature. The quantity of the accumulated charges was calculated by the integral of the charging and discharging current differentials and showed a significant increase with the electric field and temperature. The corresponding electric field distortion becomes larger above 80 °C compared to 20–60 °C. Both electric field and temperature have an important effect on PP film and capacitors based on charge transport and accumulation and their electric field distortion. This study is innovative in that it combines the operating status of DC support capacitors with traditional methods to research synthetically charged transport mechanisms of PP film. The findings are meaningful for understanding the insulation failure mechanisms of PP film and capacitors under complex stresses.

show abstract

Section: Introductionmentioning

confidence: 99%

The Time, Electric Field, and Temperature Dependence of Charging and Discharging Currents in Polypropylene Films

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The failure of MMC requires considerable time and cost to restoration [7][8]. Therefore, according to the lifetime and robustness, the reliability of the MMC is still a crucial issue [9][10].…”

Section: Introductionmentioning

confidence: 99%

“…In the steady state, the variance of the output current is ideally sinusoidal, and the variance of the circulating current is negligible. The references of the upper and lower voltage are represented in equation ( 9) and (10).…”

mentioning

confidence: 99%

Thermal Estimation of Modular Multilevel Converter Submodule Using Deep Regression on GRU and LSTM Network

et al. 2022

View full text Add to dashboard Cite

This paper proposed a GRU/LSTM-based deep regression model for thermal estimation of modular multilevel converter submodule. The MMC is composed of many submodules with the power semiconductors such as IGBTs and MOSFETs. The switches are the main components determining the reliability of the MMCs, and the swing of junction temperature causes most switch failures in the power semiconductors. So, thermal estimation is essential to improve the reliability of the MMC systems. Thermal modeling is a regression problem of time-series data, considering various environmental conditions. The conventional models cannot reflect the complex environmental conditions due to their fixed mathematic formulas. Therefore, this paper proposes the deep regression model that can estimate the junction temperature by using the arm current of the MMC submodule. The proposed model improved the accuracy of thermal estimation by more than 7.2 times compared to the existing method. Moreover, it does not require preprocessing and takes about 4.5ms on average to process 100ms data.

show abstract

Application of Convolutional Neural Network to Predict Anisotropic Effective Thermal Conductivity of Semiconductor Package

et al. 2022

View full text Add to dashboard Cite

Thermal Optimization Strategy Based on Second-Order Harmonic Circulating Current Injection for MMCs

Cited by 7 publications

References 32 publications

The Time, Electric Field, and Temperature Dependence of Charging and Discharging Currents in Polypropylene Films

The Time, Electric Field, and Temperature Dependence of Charging and Discharging Currents in Polypropylene Films

Thermal Estimation of Modular Multilevel Converter Submodule Using Deep Regression on GRU and LSTM Network

Application of Convolutional Neural Network to Predict Anisotropic Effective Thermal Conductivity of Semiconductor Package

Contact Info

Product

Resources

About