Model-Based Thermal Stress and Lifetime Estimation of DFIG Wind Power Converter

被引:0
作者
Yu, Xinming [1 ]
Iannuzzo, Francesco [1 ]
Zhou, Dao [1 ]
机构
[1] Aalborg Univ, Dept Energy, DK-9220 Aalborg, Denmark
关键词
doubly fed induction generation; grid-side converter; lifetime; rotor-side converter; thermal stress emulation; finite element analysis; OF-THE-ART; RELIABILITY; ELECTRONICS; TURBINE;
D O I
10.3390/en17143451
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Turbine systems equipped with doubly fed induction generation (DFIG) are becoming increasingly vital in wind power generation, with the reliability of the devices serving as a pillar in the industrial sector. Thermal stress and lifetime assessment are fundamental indicators in this regard. This paper primarily addresses the thermal stress and lifespan of power semiconductor devices utilized in a DFIG grid-side converter (GSC) and rotor-side converter (RSC). PLECS (Piecewise Linear Electrical Circuit Simulation) is employed to validate the electrical and thermal stress of the power devices. Additionally, Ansys Icepak, a finite element analysis (FEA) software, is utilized to confirm temperature fluctuations under various operations. The power consumption and junction temperature of the power devices in the GSC and RSC of a 2 MW DFIG are compared. It is evident that the most stressed power semiconductor is the IGBT for the GSC with a temperature swing of 3.4 degrees C, while the diode in the RSC is the most stressed with a temperature swing of 10.1 degrees C. This paper also presents a lifetime model to estimate the lifespan of the power device based on the annual wind profile. By considering the annual mission profile, we observe that the lifetime of the back-to-back power converter is limited by the diode of the RSC, whose B10 lifetime is calculated at 15 years.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] A Review of Power Converter Topology used with PMSG Based Wind Power Generation]
    Jamil, Majid
    Gupta, Ravi
    Singh, Mukhtiar
    [J]. 2012 IEEE FIFTH POWER INDIA CONFERENCE, 2012,
  • [22] Remaining Useful Lifetime Estimation for Power MOSFETs Under Thermal Stress With RANSAC Outlier Removal
    Dusmez, Serkan
    Heydarzadeh, Mehrdad
    Nourani, Mehrdad
    Akin, Bilal
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (03) : 1271 - 1279
  • [23] Overview of DFIG-Based Wind Power System Resonances Under Weak Networks
    Song, Yipeng
    Blaabjerg, Frede
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2017, 32 (06) : 4370 - 4394
  • [24] Thermal Analysis of Power Converters for DFIG-Based Wind Energy Conversion Systems during Voltage Sags
    de Oliveira, Igor Rodrigues
    Tofoli, Fernando Lessa
    Mendes, Victor Flores
    [J]. ENERGIES, 2022, 15 (09)
  • [25] Power Quality Improvement Using Hybrid Active Power Filter for A DFIG Based Wind Energy Conversion System
    Gupta, Narayan Prasad
    Gupta, Preeti
    Masand, Deepika
    [J]. 3RD NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE 2012), 2012,
  • [26] Reduced-Size Converter in DFIG-Based Wind Energy Conversion System
    Akbari, Rasoul
    Izadian, Afshin
    [J]. 2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2020, : 4217 - 4223
  • [27] Wind farm node connected DFIG/back-to-back converter coupling transient model for grid integration studies
    Ostolaza, J. X.
    Etxeberria, A.
    Zubia, I.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 106 : 428 - 439
  • [28] Understanding Subsynchronous Oscillation in DFIG-Based Wind Farms With Rotor-Side Converter Control Based on the Equivalent RLC Model
    Zhu, Lin
    Zhong, Danting
    Wang, Bei
    Lin, Rongrui
    Xu, Min
    [J]. IEEE ACCESS, 2020, 8 : 65371 - 65382
  • [29] Small signal stability analysis of power systems with DFIG based wind power penetration
    Mehta, Bhinal
    Bhatt, Praghnesh
    Pandya, Vivek
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 58 : 64 - 74
  • [30] A review of small-signal stability analysis of DFIG-based wind power system
    Nkosi, N. R.
    Bansal, Ramesh C.
    Adefarati, T.
    Naidoo, R. M.
    Bansal, Sanjay K.
    [J]. INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION, 2023, 43 (03) : 153 - 170