Pengnan

Personal Information

Personal Information

  • E-Mail:

  • School/Department:

    电气工程学院
  • Education Level:

    The graduate student is educated
  • Business Address:

    材料科学与工程学院B404
  • Gender:

    Male
  • Contact Information:

    18361242108
  • Degree:

    Doctor
  • Professional Title:

    Lecturer
  • Status:

    在岗
  • Supervisor of Master's Candidates
  • Teacher College:

    School of Electrical Engineering

Other Contact Information

    ZipCode:

    Telephone:

    Email:

Profile

博士,讲师/硕导,IEEE Member,师从梁睿教授。主要研究方向为交直流电网故障感知、电力电缆故障辨识与定位。主持国家自然科学基金青年基金1项、国网苏州供电公司科技项目1项。参与国家自然科学基金面上项目、江苏省自然科学基金面上项目、国网公司科技项目等多项课题。现为梁睿老师科研团队电力系统保护小组负责人。以第一/通信作者IEEE Trans、中国电机工程学报等国内外SCI/EI期刊发表或录用论文10余篇(IEEE Trans汇刊10篇,中国电机工程学报2篇),申请/授权中国发明专利10项。基于前期研究工作,相关研究成果获中国煤炭工业协会科学技术奖、中国产学研合作创新成果优秀奖、第九届淮海科学技术奖等。担任多个期刊 Guest Editor、审稿人。相关研究论文得到多位国内外同行专家的引用和评价。主要成果的列表如下:


一、代表性论著

[1] Fault Distance Estimation for High-voltage Cables Down the Mines Based on Voltage Continuity Considering Distributed Parameters [J]. IEEE Transactions on Power Delivery, 40(4): 1811-1824, 2025.

[2] Fault Distance Estimation of Coal-Mine Pulling Cables by Steady-State Electrical Measurements [J]. IEEE Transactions on Instrumentation and Measurement, 74, 2025.

[3] Single-pole-to-earth Fault Section Detection of the MVDC Cables Based on Variation Mechanism of Grounding Line Currents [J]. IEEE Transactions on Smart Grid, 2025, 16(3): 2127-2143.

[4] Fault Location on MVDC Distribution Cables by Modal Signals [J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74, 1-13.

[5] Fault Detection of the Medium-voltage DC Cable by Using the Featured Modal Signals[J]. IEEE Transactions on Industrial Informatics, 2024, 20(8): 10473-10487.

[6] Fault Section Identification of the Power Cables in Urban Distribution Networks by Amplitude Differences Between the Zero-sequence Currents and Those Flowing in Cable Sheaths and Armors[J]. IEEE Transactions on Smart Grid, 2023, 14(4): 2593-2606.

[7] Edge Computing Based Fault Location in Distribution Networks by Using Asynchronous Transient Amplitudes at Limited Nodes[J]. IEEE Transactions on Smart Grid, 2021, 12(1): 574-588.

[8] Fault Sensing of the Distribution Cable Feeders by Time-domain Measurements[J]. IEEE Transactions on Industrial Informatics, 2023, 19(7): 8170-8182.

[9] Edge Computing Based Fault Sensing of the Distribution Cables Based on Time-Domain Analysis of Grounding Line Current Signals[J]. IEEE Transactions on Power Delivery, 2022, 37(5): 4404-4417.

[10] Fault Section Identification of Hybrid Transmission Lines by the Transients in Modal Domain Free from the Refractions and Reflections at Cross-bonded Nodes[J]. IEEE Transactions on Power Delivery, 2023, 38(4): 2864-2878.

[11] 基于暂态特征模量分析的配网三芯铠装电缆故障感知与测距 [J]. 中国电机工程学报, 2021, 41(16): 5767-5778.

[12]  基于暂态特征模量时频分析的电缆型配电网单相接地故障区段定位[J]. 中国电机工程学报, 2023, 43(23): 9098-9113.


二、授权发明专利

[1] 基于接地线电流和零序电流的配电电缆故障区段定位方法,专利号:ZL202210415274.1

[2] 一种基于时域分析的三芯电缆故障定位方法,专利号:ZL202210414945.2

[3] 一种基于多模量协同分析的海底电缆故障辨识与区段定位方法,专利号:ZL 2024 1 1908099.5


三、主持/参与科研项目

[1] 国家自然科学基金青年基金. 在研.

[2] 国家自然科学基金面上项目. 在研.

[3] 国网苏州供电公司科技项目. 结题.


四、科技奖励

[1] 中国煤炭工业协会科学技术奖. 

[2] 中国产学研合作创新成果奖. 

[3]  淮海科学技术奖科技创新

                           

欢迎对新型电力系统保护与感知、电力设备故障检测等方向感兴趣,有志于科研、意志坚定、乐于探索的同学加入我们课题组!课题组学习科研氛围浓厚,长期与国网公司及煤矿企业等单位合作,能为同学们提供全方面的科研及实践锻炼机会!





Educational Experience

  • 2011.9 to 2015.6

    山东大学 | 电气工程及其自动化 | Bachelor's Degree in Engineering | 本科毕业

  • 2015.9 to 2021.6

    中国矿业大学 | 电气工程 | Doctoral Degree in Engineering | With Certificate of Graduation for Doctorate Study

Work Experience

  • 2023.1 to Now

    电气工程学院 | 电力工程系 | 讲师

  • 2021.7 to 2022.12

    电气与动力工程学院 | 电力工程系 | 讲师

Social Affiliations

  • IEEE Member

Research Group

[1] Name of Research Group:电气安全与综合能源研究团队

Description of Research Group:

团队聚焦电力系统自动化、能源互联网、电网设备状态评估等方向,长期专注于电力系统领域基础研究成果的转化应用。团队有教授4人,副教授6人,讲师/博后4人。团队长期与国网公司、电气设备研发企业合作,研发了新型配电网智慧感知单元、电力设备状态监测与评估等装置系统,在多个地区电网推广应用。