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Zhipeng He - IEEE Xplore Author Profile
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Zhipeng He

Publications
11
Citations
4
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (46)
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Zhipeng He

Affiliation

China Southern Power Grid Co. Ltd.
Electric Power Research Institute
Guangzhou, People's Republic of China

Publication Topics

Biography

Zhipeng He received his M.S. degree in NCEPU in 2016. Currently, he is a researcher in the EPRI, CSG. His main research interests include HVDC transmission and MVDC distribution power grid technology and reliability analysis for power devices.(Based on document published on 29 January 2024).
Publications
11
Citations
4
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (46)
Author's Published Works

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A tri-level optimization approach for cooperative operation of power and transportation network

Lingxiao Tang;Ting Wu;Qisheng Huang;Zhipeng He

4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)
Year: 2025 | Conference Paper |
With the rapid development of electric vehicles (EVs), the interdependence between urban transportation networks (UTN) and power distribution networks (PDN) will be greatly strengthened. To achieve optimal allocation and coordinated scheduling of electricity and transportation energy, coupled power and transportation networks (CPTN) are expected to play a major role in the future energy internet. ...Show More

A tri-level optimization approach for cooperative operation of power and transportation network

Lingxiao Tang;Ting Wu;Qisheng Huang;Zhipeng He

Year: 2025 | Volume: 2024 | Conference Paper |

Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

Jun Niu;Xiaoyan Zhu;Moxuan Zeng;Ge Zhang;Qingyang Zhao;Chunhui Huang;Yangming Zhang;Suyu An;Yangzhong Wang;Xinghui Yue;Zhipeng He;Weihao Guo;Kuo Shen;Peng Liu;Lan Zhang;Jianfeng Ma;Yuqing Zhang

IEEE Transactions on Information Forensics and Security
Year: 2025 | Early Access Article |
Membership inference (MI) attacks pose a significant threat to user privacy in machine learning. While numerous attacks have been proposed, the lack of standardized evaluation parameters and metrics has led to inconsistent and even conflicting comparison results. To address this issue and facilitate a systematic analysis of these disparate findings, we introduce MIBench, a comprehensive benchmark ...Show More

Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

Jun Niu;Xiaoyan Zhu;Moxuan Zeng;Ge Zhang;Qingyang Zhao;Chunhui Huang;Yangming Zhang;Suyu An;Yangzhong Wang;Xinghui Yue;Zhipeng He;Weihao Guo;Kuo Shen;Peng Liu;Lan Zhang;Jianfeng Ma;Yuqing Zhang

Year: 2025 | Early Access Article |

A Three-phase Interleaved LLC Integrated Transformer Using PCB Windings for Fuel Cell DCDC Converters

Jiajia Guan;Jin Wen;Shuangxi Zhu;Wu Zongheng;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

PCIM Europe 2024; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Year: 2024 | Conference Paper |
Compared with single-phase LLC, three-phase interleaved LLC can increase the power capacity and reduce current ripple. However, the number of resonant components has also tripled. Without magnetic components integrated design will affect the power density and efficiency. This paper proposes a new integration method for three-phase transformer based on the reluctance model and magnetic flux cancell...Show More

A Three-phase Interleaved LLC Integrated Transformer Using PCB Windings for Fuel Cell DCDC Converters

Jiajia Guan;Jin Wen;Shuangxi Zhu;Wu Zongheng;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

Year: 2024 | Conference Paper |

Analysis and Optimization of Internal Coupling Interference in Integrated SiC Power Module Based on DBC

Chenhang Zeng;Yiyang Yan;Heng Zhang;Yue Wu;Zhipeng He;Yong Kang;Cai Chen

PCIM Europe 2024; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Year: 2024 | Conference Paper |
Silicon carbide devices have higher switching speeds than traditional silicon-based devices and can operate at higher switching frequencies. The packaging structure of the integrated gate driver can significantly reduce the parasitic inductance in the drive circuit, reduce the drive resistance value, and increase the switching speed of SiC devices. Integrating the driver on the DBC can further imp...Show More

Analysis and Optimization of Internal Coupling Interference in Integrated SiC Power Module Based on DBC

Chenhang Zeng;Yiyang Yan;Heng Zhang;Yue Wu;Zhipeng He;Yong Kang;Cai Chen

Year: 2024 | Conference Paper |

Optimization and Design of Low-Voltage and High-Current Point-of-Load Converter under 48V Bus Architecture

Jiajia Guan;Jin Wen;Shuangxi Zhu;Zongheng Wu;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

PCIM Europe 2024; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Year: 2024 | Conference Paper |
The data center power supply architecture is changing from 12V to 48V, and the Point-of-Load (PoL) converter is facing the problem of how to achieve a high step-down ratio and high efficiency under high current. Based on the two-stage architecture, this paper proposed a method to improve the efficiency of the converter by optimizing the switching frequency and the phase number of Buck. Finally, a ...Show More

Optimization and Design of Low-Voltage and High-Current Point-of-Load Converter under 48V Bus Architecture

Jiajia Guan;Jin Wen;Shuangxi Zhu;Zongheng Wu;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

Year: 2024 | Conference Paper |

A Multi-Objective Structural Optimization Method Based on Multi-Physics Simulations for Power Module

Baihan Liu;Mengyao Du;Yiyang Yan;Jianwei Lv;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

PCIM Europe 2024; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Year: 2024 | Conference Paper |
With the rise of wide-bandgap semiconductors SiC, power module packaging needs to be designed with all performance outstanding enough to give full play of advantages of SiC in harsh conditions. Due to the difficulty of taking into account all performance, packaging design of SiC power module faces great challenges. This study proposes a multi-objective structural optimization method based on Multi...Show More

A Multi-Objective Structural Optimization Method Based on Multi-Physics Simulations for Power Module

Baihan Liu;Mengyao Du;Yiyang Yan;Jianwei Lv;Cai Chen;Yong Kang;Yue Wu;Zhipeng He

Year: 2024 | Conference Paper |

Detecting Series Arc Faults Using High-Frequency Components of Branch Voltage Coupling Signal

Zhipeng He;Zixiao Xu;Hu Zhao;Weilin Li;Yan Zhen;Wenjun Ning

IEEE Transactions on Instrumentation and Measurement
Year: 2024 | Volume: 73 | Journal Article |
Cited by: Papers (1)
Series arc faults (SAFs) are important safety issues in low-voltage ac distribution networks. However, the load type and circuit topology are increasing, and arcing current features are easily affected by these factors, which makes SAF detection very challenging. This article proposes a new method for detecting SAFs in real scenarios containing multiple load types and complex circuit topologies. T...Show More

Detecting Series Arc Faults Using High-Frequency Components of Branch Voltage Coupling Signal

Zhipeng He;Zixiao Xu;Hu Zhao;Weilin Li;Yan Zhen;Wenjun Ning

Year: 2024 | Volume: 73 | Journal Article |

Series Arc Fault Detection Method Based on Load Classification and Convolutional Neural Network

Zhipeng He;Rong Gao;Weilin Li;Hu Zhao

2024 IEEE International Conference on Prognostics and Health Management (ICPHM)
Year: 2024 | Conference Paper |
Series arc fault (SAF) is one of the main causes of electric fire hazards. However, the arcing current features are different under different load types, which makes SAF detection challenging. This article proposes a method for detecting SAFs in low-voltage AC distribution networks based on load classification and convolutional neural network (CNN). Firstly, an experimental platform is constructed...Show More

Series Arc Fault Detection Method Based on Load Classification and Convolutional Neural Network

Zhipeng He;Rong Gao;Weilin Li;Hu Zhao

Year: 2024 | Conference Paper |

A New Driving Compensation Strategy to Improve Current Symmetry of Integrated Buck-Boost-LLC Converter

Jin Wen;Jiajia Guan;Zongheng Wu;Wenzhe Xu;Yue Wu;Zhipeng He;Cai Chen;Yong Kang

2023 IEEE 4th China International Youth Conference On Electrical Engineering (CIYCEE)
Year: 2023 | Conference Paper |
The inherent characteristics of the integrated Buck-Boost-LLC converter lead to the asymmetry of its resonant tank voltage, which further leads to the asymmetry of the resonant current as well as the demagnetization of the transformer, which seriously affects the operation of the converter. In this paper, a drive compensation strategy is proposed to suppress the asymmetry of voltage and current. B...Show More

A New Driving Compensation Strategy to Improve Current Symmetry of Integrated Buck-Boost-LLC Converter

Jin Wen;Jiajia Guan;Zongheng Wu;Wenzhe Xu;Yue Wu;Zhipeng He;Cai Chen;Yong Kang

Year: 2023 | Conference Paper |

Study of the Detection Method of Series AC Arc Faults Based on High-frequency Zero-sequence Current Coupling Signal

Zhipeng He;Yezhen Zhang;Weilin Li;Hu Zhao;Bingqiang Li

2023 IEEE 68th Holm Conference on Electrical Contacts (HOLM)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Arc fault is one of the main causes of electrical fire hazards. Most research is mainly based on current signals to detect arc faults. However, load type and other factors easily affect the current signal, which easily causes missed judgment and misjudgment of switches. To solve this issue, this paper proposes a detection method based on the high-frequency zero-sequence current coupling signal for...Show More

Study of the Detection Method of Series AC Arc Faults Based on High-frequency Zero-sequence Current Coupling Signal

Zhipeng He;Yezhen Zhang;Weilin Li;Hu Zhao;Bingqiang Li

Year: 2023 | Conference Paper |

VDBWGDL: Vulnerability Detection Based On Weight Graph And Deep Learning

Xin Zhang;Hongyu Sun;Zhipeng He;MianXue Gu;Jingyu Feng;Yuqing Zhang

2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Year: 2022 | Conference Paper |
Vulnerability detection has always been an essential part of maintaining information security, and the existing work can significantly improve the performance of vulnerability detection. However, due to the differences in representation forms and deep learning models, various methods still have some limitations. In order to overcome this defect, We propose a vulnerability detection method VDBWGDL,...Show More

VDBWGDL: Vulnerability Detection Based On Weight Graph And Deep Learning

Xin Zhang;Hongyu Sun;Zhipeng He;MianXue Gu;Jingyu Feng;Yuqing Zhang

Year: 2022 | Conference Paper |

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