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基于变频控制策略的同相供电装置可靠性优化方法

陈民武 田航 宋雅琳 陈玲

陈民武, 田航, 宋雅琳, 陈玲. 基于变频控制策略的同相供电装置可靠性优化方法[J]. 西南交通大学学报, 2020, 55(1): 9-17. doi: 10.3969/j.issn.0258-2724.20180668
引用本文: 陈民武, 田航, 宋雅琳, 陈玲. 基于变频控制策略的同相供电装置可靠性优化方法[J]. 西南交通大学学报, 2020, 55(1): 9-17. doi: 10.3969/j.issn.0258-2724.20180668
CHEN Minwu, TIAN Hang, SONG Yalin, CHEN Ling. Reliability Optimization of Co-phase Power Supply Device Based on Frequency Conversion Control Strategy[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 9-17. doi: 10.3969/j.issn.0258-2724.20180668
Citation: CHEN Minwu, TIAN Hang, SONG Yalin, CHEN Ling. Reliability Optimization of Co-phase Power Supply Device Based on Frequency Conversion Control Strategy[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 9-17. doi: 10.3969/j.issn.0258-2724.20180668

基于变频控制策略的同相供电装置可靠性优化方法

doi: 10.3969/j.issn.0258-2724.20180668
基金项目: 国家自然科学基金(51877182);四川省科技计划(2018FZ0107)
详细信息
    作者简介:

    陈民武(1983—),男,博士,副教授,研究方向为牵引供电理论与新技术,电能质量预测、评估与控制技术等,E-mail:chenminwu@home.swjtu.edu.cn

  • 中图分类号: V221.3

Reliability Optimization of Co-phase Power Supply Device Based on Frequency Conversion Control Strategy

  • 摘要: 同相供电技术能有效解决牵引供电系统普遍存在的过分相问题和电能质量问题. 为了保障同相供电系统的安全可靠运行,作为系统的核心设备,同相供电装置的可靠性优化研究至关重要. 针对同相供电装置特殊的变流器拓扑结构,建立可靠性评估模型,分析了牵引负荷特性及主要电气参数对装置可靠性的影响机理;建立以功率模块失效率最低为目标的变频控制优化模型,采用遗传-粒子群混合算法,得到了最优变频控制策略. 研究表明:改变不同负荷区段内变流器的开关频率,可以有效降低功率元件失效率. 最后以山西中南部铁路应用的工程样机为例,基于实测数据和对比分析,表明在变频控制策略下,装置寿命可增加20.90%,可靠度增长率最大可达到54.17%,证明了变频控制策略可以有效提高装置可靠性.

     

  • 图 1  同相供电装置主电路拓扑

    Figure 1.  Primary circuit topology of co-phase power supply device

    图 2  功率循环失效周期数与Tjm和ΔTj的关系

    Figure 2.  Relationship between number of power cycle failure cycles and ΔTj with different Tjm

    图 3  IGBT模块热等效电路

    Figure 3.  Thermal equivalent circuit of IGBT module

    图 4  牵引负荷功率因数与功率元件失效率之间的关系

    Figure 4.  Relationship between traction load power factor and power component failure rate

    图 5  开关频率与功率元件失效率的关系

    Figure 5.  Relationship between switching frequency andpower component failure rate

    图 6  IGBT模块失效率最小优化模型GAPSO算法流程

    Figure 6.  GAPSO algorithm flow for optimization model of minimizing IGBT module failure rate

    图 7  实测牵引负荷

    Figure 7.  Measured traction load

    图 8  IGBT模块适应度曲线

    Figure 8.  Adaptability curve of IGBT module

    图 9  牵引侧IGBT模块功率损耗

    Figure 9.  IGBT module power loss for traction side

    图 10  优化前牵引侧失效率与平均结温和结温波动的关系

    Figure 10.  Relationships between failure rate of traction side,average junction temperature and junction temperature fluctuation before optimization

    图 11  优化后牵引侧失效率与平均结温和结温波动的关系

    Figure 11.  Relationship between failure rate of traction side,average junction temperature and junction temperature fluctuation after optimization

    图 12  不同策略下同相供电装置可靠度曲线

    Figure 12.  Reliability curves of co-phase power supply device with different strategies

    表  1  同相供电装置参数

    Table  1.   Parameters of co-phase power supply device

    参数数值
    额定容量/ (MV•A) 5
    电网侧输入额定电压/ kV 10
    牵引侧输出额定电压/ V 680
    电网侧开关频率/ Hz 400
    牵引侧开关频率/ Hz 1 500
    下载: 导出CSV

    表  2  IGBT模块参数

    Table  2.   Parameters of IGBT module

    项目电网侧牵引侧
    型号 SKiiP 1513 GB172-3DL V3 SKiiP 2403 GB172-4DL V3
    fsw_lim/Hz 9 000 7 000
    ton+off/μs 2.8 2.8
    Esw_T/mJ 863 780
    Esw_D/mJ 128 144
    下载: 导出CSV

    表  3  GAPSO算法优化结果

    Table  3.   GAPSO algorithm optimization results

    元件Ich/Afsw_ch/Hz变频优化前变频优化后
    max Tjm/℃max ΔTj/℃IGBT模块失效率/Fitmax Tjm/℃max ΔTj/℃IGBT模块失效率/Fit
    电网侧 IGBT 365 1 096 92.52 38.25 442.21 92.52 36.76 309.80
    FWD 108.93 50.14 108.83 48.55
    牵引侧 IGBT 366 2 652 113.47 52.64 1 127.48 113.47 50.45 705.27
    FWD 111.91 51.46 111.91 49.18
    下载: 导出CSV

    表  4  优化后元件的失效率

    Table  4.   Optimized failure rate of each component Fit

    元件n
    131415
    电网侧IGBT72.92 × 442.17 × 435.36 × 4
    FWD342.38 × 4293.61 × 4274.44 × 4
    牵引侧IGBT1 141.30 × 4546.46 × 4383.18 × 4
    FWD951.55 × 4458.38 × 4322.09 × 4
    直流支撑电容268.04 × 12221.37 × 12186.80 × 12
    串联电抗器51.00 × 1
    控制底板150.00 × 2
    总失效率13 600.088 369.926 652.88
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-08-10
  • 修回日期:  2018-12-14
  • 网络出版日期:  2018-12-21
  • 刊出日期:  2020-02-01

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