祝令瑜
电气工程学院
高电压技术教研室
教授，博导
国家级青年人才计划入选者
IEEE Senior Member
全国高压直流输电设备标准化技术委员会委员
全国电力电容器标准化技术委员会委员
中国电机工程学会新型电力系统风险控制与安全评估专委会副秘书长
中国电工技术学会电力电容器专委会委员
https://orcid.org/0000-0002-0379-4059祝令瑜的主页 - 祝 令瑜
https://orcid.org/0000-0002-0379-4059
A Novel Sensor-Reduction Condition Monitoring Approach for MMC Submodule IGBTs Based on Statistics of Inferred On-State Voltage
Condition monitoring (CM) of modular multilevel converters (MMCs) submodule insulated gate bipolar transistors (IGBTs) is of significance to ensure reliable operation. The ON-state voltage of IGBT is a promising indicator to perform CM while its application in MMC is tricky due to high blocking voltage and numerous submodules. In this article, a novel sensor-reduction approach is presented to infer the ON-state voltages of MMC submodule IGBTs. Such an estimation method of the ON-state voltages is based ON Kirchhoff’s voltage law (KVL) applied to an MMC arm. This method focuses on a statistical analysis of capacitor voltages and arm voltages. The switching-state combinations are specifically selected for the purpose. A case study is conducted on a single-phase seven-level MMC test bench to verify the proposed ON-state voltage estimation method, which only shows an error of less than 3%. Furthermore, continuous ON-state voltage estimations are made with this MMC test bench under steady-state operations and carry out statistical analysis of the inferred ON-state voltage at various deterioration levels. Finally, a confusion matrix is proposed, whose maximum accuracy reaches 92.4% for the early-deterioration condition.
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Analytical Double-2D Frequency-Dependent Leakage Inductance Model for Litz-Wired High-Frequency Transformer
Accurate and fast calculation of frequency-dependent leakage inductance is critical for the optimization of the high-frequency transformer with Litz wire winding. The analytical method is widely used due to its high computation speed. However, its computation accuracy is limited due to the following factors. First, one-dimensional (1D) or two-dimensional (2D) magnetic field model has unsatisfying accuracy for the transformer with a rotationally asymmetric structure. Second, the skin and proximity effect factors based on the multilayer foil winding are inaccurate for the Litz wire winding in the calculation of frequency-dependent magnetic energy. This article proposes a double-2D frequency-dependent leakage inductance model for the transformer with Litz wire winding. It uses the image method to calculate the 2D leakage magnetic field inside and outside the core window, respectively, which considers the rotationally asymmetric structure in leakage inductance calculation. The round conductor model is proposed for the frequency-dependent magnetic energy calculation. The single strand in a Litz wire is taken as the basic modeling object of the round conductor model, which is more detailed than the multilayer foil winding model for the Litz wire winding. The comparison between the experiment, FEM, state-of-the-art models, and the proposed model is conducted for eight transformers with E-core, U-core, round, or rectangular Litz wire winding. The proposed model shows satisfying computation accuracy in the whole frequency band. And the computational speed of the proposed model is 100 times that of the FEM.
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A Large-Scale Identification Approach for Thermal Parameters of Multichips IGBT Modules Based on LLSO-SQP Algorithm
This article proposes a large-scale optimization approach for identifying thermal parameters of multichips insulated-gate bipolar transistor (IGBT) modules. State-space equation, in which the coefficient matrix comprises the thermal resistance and capacitance, is provided to represent the compact 3-D thermal network model. Then, the level-based learning swarm optimization (LLSO) algorithm is first utilized to identify large-scale thermal parameters. Additionally, to solve the inefficient convergence problem, the optimization results obtained from the LLSO are provided as the initial value of the sequential quadratic programming (SQP) algorithm to find the global optimal solution. Hence, the proposed LLSO-SQP algorithm can identify the large-scale thermal parameters efficiently and accurately. The training dataset for the algorithm is derived from the transient temperature response of a finite element model (FEM) of the IGBT module under power step excitation. Since only one-time simulation is in-demand, this approach needs less computational effort than others. The identified thermal network model is utilized to estimate junction temperature profiles taking a two-level inverter as a case study. In comparison to that of the experiment and FEM, the results validate the feasibility and accuracy of the junction temperature estimation method based on the compact 3-D thermal network model.
See More科研项目
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国家自然科学基金委员会, 面上项目, 51877168, 复合频率电流下干式空心电抗器非线性振动机理与辐射噪声研究, 2019-01-01 至 2022-12-31, 61万元, 结题, 主持
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国家重点研发计划, 国家重点研发计划课题, 2023YFB2406901, 海上风电并网系统远程监测与故障诊断, 2023-12 至 2026-11, 627.44万元, 在研, 主持
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南方电网科学研究院有限责任公司, 总部科技项目, 202312298, 海上风电MMC换流阀健康状态评估技术研究, 2023-12 至 2026-08, 254.78万元, 在研, 主持
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国家电网, 总部科技项目, 202211166, 高频谐波工况下交流高压并联电容器运行可靠性及提升方法研究, 2022-11 至 2024-12, 110万元, 在研, 主持
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国家电网, 总部科技项目, 5226SX220008, ±800kV换流站不同运行功率下主要声源设备声功率级和换流站噪声预测研究, 2022-03 至 2024-12, 210万元, 在研, 主持
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国家电网, 总部科技项目, 20210717, 换流站噪声控制关键技术及站界噪声智慧化监测系统研究,2021-03 至 2023-12, 80万元, 在研, 主持
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国家电网, 总部科技项目, 202106173, 电动汽车新一代超级充电安全防护及检测技术研究与应用,2021-01 至 2022-12, 115万元, 在研, 主持
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国家电网, 总部科技项目, 20190693, 换流变压器交流谐波及振动关键技术研究, 2019-06 至 2021-06, 70万元, 结题, 主持
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国网山西省电力公司电力科学研究院, 技术开发, 20200617, 高比例谐波电流下干 式空心电抗器振动噪声特性感知技术研究与应用, 2020-06 至 2021-06, 108.7万元, 结题, 主持
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广东电网有限责任公司电力科学研究院, 技术开发, 20180821, 柔性直流输电MMC子模块在线监测技术研究, 2018-07 至 2020-11, 107.9万元, 结题, 主持
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直流输电技术国家重点实验室, 开放基金, SKLHVDC-2019-KF-05, 基于局部放电特性的MMC子模块高压功率器件状态监测技术研究, 2019-07 至 2019-12, 15万元, 结题, 主持
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华为技术有限公司, 技术开发, 20180722, HVDC远端供电设备的接地状态检测技术, 2018-07 至2019-06, 46.2万元, 结题, 主持
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陕西省科技厅, 陕西省自然科学基金面上项目, 2017JM5005, 基于初始电流转移特性的串联直流电弧故障检测方法研究, 2017-01 至 2018-12, 5万元, 结题, 主持
l 2009年7月，西安交通大学，电气工程与自动化，学士学位
l 2014年6月，西安交通大学，电气工程，博士学位
l 2013年12月-2014年5月，俄亥俄州立大学，交流访问
l 2015年8月-2016年8月，俄亥俄州立大学，国家公派访问学者
l 高压直流输电工程滤波电容器振动机理与降噪措施
l 柔性直流输电MMC子模块状态监测技术
l 海上风电并网设备多因素综合模型与状态评价
l 高压直流输电工程主设备状态评价
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[3]Zhu,L.,Zhang, et al. Mechanical condition diagnosis method of high‐voltage reactor using its oil tank operation deflection shape[J]. Iet Generation, Transmission and Distribution, 2023, 17(21): 4781-4793.
[4]Liu,Z.,Zhu, et al. Accurate Analysis of Core Loss Considering the Non-uniform Magnetic Flux Distribution for High-Frequency-Transformer in Dual-Active-Bridge DC-DC Converter[C]//2023 Ieee Energy Conversion Congress and Exposition, Ecce 2023: Ieee, 2023: 5572-5578.
[5]Zhan,C.,Zhu, et al. Wear-Out Mechanism of Press-Pack IGBTs Under Accelerated Aging Test[J]. Ieee Journal of Emerging and Selected Topics in Power Electronics, 2022, 10(5): 5132-5141.
[6]Zhang,J.,Yu,等. 压接型高压IGBT门极驱动信号演化规律及失效形式研究[J]. Gaoya Dianqi/High Voltage Apparatus, 2023, 59(1): 43-48.
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[8]Gao,L.,Ji,等. Study on Vibration Mechanism and Impact Factors of Dry-type Air-core Reactor in HVDC Converter Stations [高压换流站干式空心电抗器的振动产生机理及影响因素研究][J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42(16): 5960-5970.
[9]Zhan,C.,Wang, et al. A Novel Sensor-Reduction Condition Monitoring Approach for MMC Submodule IGBTs Based on Statistics of Inferred On-State Voltage[J]. Ieee Journal of Emerging and Selected Topics in Power Electronics, 2023, 12: 1-1.
[10]Zhu,L.,Du, et al. Vibration Distribution Detection Method for Turn-to-Turn Short-Circuit Fault of Dry-Type Air-Core Filter Reactors[J]. Ieee Transactions on Power Delivery, 2022, 37(5): 4474-4476.
[11]Zhan,C.,Zhu, et al. A Fully Coupled Model of Multi-Chip Press-Pack IGBT for Thermo-Mechanical Stress Distribution Prediction[J]. Ieee Transactions on Industry Applications, 2022, 58(3): 3852-3862.
[12]Wu,X.,Zhu,等. 脉冲作用下Tesla变压器绕组形变故障机理[J]. Gaodianya Jishu/High Voltage Engineering, 2021, 47(11): 3932-3940.
[13]Dang,Y.,Zhu, et al. Module Integral Method for the Calculation of Frequency-Dependent Leakage Inductance of High-Frequency Transformers[J]. Ieee Transactions on Power Electronics, 2022, 37(6): 7028-7038.
[14]Zhan,C.,Zhu, et al. A Large-Scale Identification Approach for Thermal Parameters of Multichips IGBT Modules Based on LLSO-SQP Algorithm[J]. Ieee Journal of Emerging and Selected Topics in Power Electronics, 2023, 11(3): 2554-2564.
[15]Zhu,L.,Gao, et al. Mass Tuning Reduction Method for Vibration and Audible Noise of HVDC Filter Capacitors[J]. Ieee Transactions on Power Delivery, 2020, 35(6): 2583-2590.
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