Power System Research Institute
Shi Fang
Published: November 02, 2015 09:41    Author:    点击:[]

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Power System Research Institute


Academic identity

Senior member of China Electrical Engineering Society、Senior member of China Electrotechnical Society、IEEE  MemberIEEE PES(China) Distribution Network Protection and Control Technology Subcommittee/Executive Director of Power System Stability Control Subcommittee,IEC/SC8C WG3Working group member,CIGRE B5.48andB3.52-Member of China Working Group


Work experience:

2019.9month-Today School of Electrical Engineering, Shandong University  Associate Professor

2014.3-2019.8 School of Electrical Engineering, Shandong University Lecturer

2014.9-2015.8 Alstom UK Grid  Visiting Scholar

2009-2013.12  Department of Electrical Engineering, Shanghai Jiao Tong University, PhD in Engineering


Personal information


Name

Shi Fang


Gender

Male


BornDate

1982.04


Place of Origin

Yucheng, Shandong


Professional title

Associate Professor/Master’s Tutor

Telephone/WeChat

15553116062

Email

shifang@sdu.edu.cn


Personal homepage

http://faculty.sdu.edu.cn/~7b2aym/zh_CN/index.htm


Affiliated research team

Smart grid flexible technology and equipment research team


 Research direction

Power system synchronous measurement technology and application、Distribution network fault diagnosis and location、Application of artificial intelligence in power grid stability analysis and fault diagnosis

Academic works


Monographs and textbooks

[1] Zhang Hengxu, Shi Fang, Jin Zongshuai. Distribution network synchronous measurement technology and application[M]. Beijing: Science Press, 2022. ISBN: 9787030685100.

[2] Zhang Hengxu, Shi Fang, Shi Xiaohan. Power system automation(No.2version)[M]. Beijing: Mechanical Industry Press, 2024.

[3] Active intervention arc suppression device technology. Beijing: China Electric Power Press. 2024.



Representative journal articles

[1] Wei M, Shi F*, Zhang H*, Chen W. Wideband Synchronous Measurement-Based Detection and Location of High Impedance Fault for Resonant Distribution Systems with Integration of DERs [J]. IEEE Transactions on Smart Grid, 2023, 14(2): 1117-34.

[2] Wang X, Zhang H, Shi F*, etc. Location of Single Phase to Ground Faults in Distribution Networks Based on Synchronous Transients Energy Analysis[J]. IEEE Transactions on Smart Grid, 2020, 11(1): 774-785.

[3] Wei M, Liu W, Shi F*, etc. Distortion-Controllable Arc Modeling for High Impedance Arc Fault at the Distribution Network[J]. IEEE Transactions on Power Delivery, 2021, 36(1): 52-63.

[4] Shi F, Zhang L, Zhang H, etc. Diagnosis of the single phase-to-ground fault in distribution network based on feature extraction and transformation from the waveforms[J]. IET Generation, Transmission & Distribution, 2020, 14(25): 6079-6086.

[5] Wei Mingjie, Shi Fang*, Zhang Hengxu, etc. High-resistance fault line selection and section positioning method of resonant grounding system based on synchronous zero-sequence current harmonic group phase comparison[J]. Chinese Journal of Electrical Engineering,2021, 41(24): 8358-72.

[6] Xing Xiaodong, Shi Fang*, Zhang Hengxu, etc. Adaptive fault section positioning method of active distribution network based on synchronized phasor[J]. Journal of Electrical Engineering, 2020, 35(23): 4920-4930.

[7] Shi F, Zhang H, Cao Y, etc. Enhancing Event-Driven Load Shedding by

Corrective Switching With Transient Security and Overload Constraints[J]. IEEE Access, 2019, 7101355-101365.

[8] Shi Fang, Zhang Linlin, Hu Xiongwei, etc.. Extraction method of power grid transient stability rules based on multi-attribute decision tree[J]. Journal of Electrical Engineering, 2019, 34(11): 2364-2374.

[9] Wei Mingjie, Zhang Hengxu, Shi Fang*, etc.. Distribution network arc ground fault identification based on harmonic energy and waveform distortion[J]. Power system automation, 2019, 43(16): 148-154.

[10] Wang Xuewen, Shi Fang*, Zhang Hengxu, etc.. Single-phase ground fault section positioning method in small current grounding system based on transient energy[J]. Power Grid Technology, 2019, 43(03): 818-825.

[11] Wei M, Shi F, Zhang H, etc. High Impedance Arc Fault Detection based on the Harmonic Randomness and Waveform Distortion in the Distribution System[J]. IEEE Transactions on Power Delivery, 2020, 35(2): 837-850.

[12] Shi F, Zhang H, Xue G. Instability prediction of the inter-connected power grids based on rotor angle measurement[J]. International Journal of Electrical Power and Energy Systems, 2017, 88(1): 21-32.

[13] Wei M, Shi F, Zhang H, Yang F, Chen W. A High-Efficiency Method to Determine Parameters of High Impedance Arc Fault Models [J]. IEEE Transactions on Power Delivery, 2022, 37(2): 1203-14.

[14] Zhang Linlin, Hu Xiongwei, Li Peng, Shi Fang*, Yu Zhihong. Power system transient stability assessment method based on extreme learning machine[J]. Journal of Shanghai Jiao Tong University, 2019, 53(06): 749-756.

[15] Jin Zongshuai, Zhang Hengxu, Shi Fang, etc.. Broadband signal decomposition method containing deterministic components and random noise components [J]. Power system automation, 2019, 43(04): 70-78.



Representative invention patent

[1] Shi Fang, Zhang Hengxu, Han Zhaoru, Jin Zongshuai. Method and system for identifying high-resistance faults and switching disturbances based on Lissajous curve[P]. CN116500383B, 2023-09-05.

[2]. Shi Fang, Zhang Hengxu, Han Zhaoru, Jin Zongshuai, Wang Xiaobin. A high-resistance fault location method and system based on synchronous Lissajous curve characteristics[P]. CN116500382B, 2023-09-19.

[3] Shi Fang, Zhang Linlin, Zhang Hengxu, etc. Distribution network fault diagnosis method based on synchronized phasor measurement and random matrix theory[P]. CN110673060B, 2021-07-06.

[4] Shi Fang, Zhang Hengxu, Zhang Linlin, etc. A method and system for locating single-phase ground fault sections in distribution network[P]. CN110596533B, 2020-07-31.

[5] Shi Fang, Zhang Hengxu, Han Xingchen, etc. A band-pass filtering method、System、Storage media and terminal equipment[P]. CN109831184B, 2020-08-28.

[6] Shi Fang, Yu Zhihong, Huang Yanhao, etc. Stability assessment method based on the correlation between power grid operation and transient stability margin index[P]. CN106504116B, 2020-05-22.

[7] Shi Fang, Wang Xiangnu, Zhang Hengxu, etc. Distribution network fault diagnosis method based on synchronized phasor measurement and covariance matrix theory[P]. CN109507526B, 2020-01-07.

[8] Shi Fang, Hu Xiongwei, Yu Zhihong, etc. Multi-attribute decision tree power grid stability margin evaluation method based on linear discriminant analysis[P]. CN107274105B, 2020-10-13.


CommitmentScientific research project 

[1] National Ministry of Science and Technology, National Key R&D Plan Project Sub-topic, 2021YFB2400803, Hybrid intelligent enhanced analysis technology to improve the reliability of response-driven stability judgment, 2021-12To2024-11, under research, Host.

[2] National Ministry of Science and Technology, National Key R&D Plan Project Sub-topic, 2017YFB0902802, Micro basedPMU's distribution network fault diagnosis and precise positioning technology, 2017-07To2020-12, End of question, Host.

[3] Shandong Provincial Natural Science Foundation of China, Front Project, ZR201808210126, Based onPMUResearch on power system stability trend prediction and coordinated control using synchronous data, 2019-07To2022-06, End of question, Host.

[4] National Natural Science Foundation of China, Sub-topic of National Major Scientific Research Instrument Development Project, 51627811, Development and application of source-grid-load panoramic synchronous measurement system for power electronic power system, 2017-01To2021-12, End of question, Participate(2/6).

[5] State Grid Corporation Headquarters Science and Technology Project Topic, Research and application of weak distribution network fault emergency management and control technology for large-scale access to distributed resources, 2023-12To2025-12, under research, Host.

[6] State Grid Corporation Headquarters Science and Technology Project Topic, Research on broadband oscillation risk assessment and suppression measures for high-proportion new energy power systems, 2021-12To2024-12, under research, Host.

[7] Global Energy Internet Group Co., Ltd. Technology Project, Research on the co-evolution optimization model and path of clean power and traditional power, 2020-09To2022-12, End of question, Host.

[8] State Grid Beijing Electric Power Company Science and Technology Project, Research and application of fault section positioning method in active distribution network based on multi-dimensional synchronization information, 2022-109To2023-12, End of question, Host.

[9] State Grid Shandong Electric Power Company Science and Technology Project, Research on key technologies for the operation of beautiful rural energy Internet based on micro-synchronous measurement devices, 2021-07To2023-12, End of question, Host.

[10] State Grid Shanghai Electric Power Company Science and Technology Project, Distribution NetworkPMUResearch on International Standardization of Devices and Technology Applications, 2020-08To2022-12, End of question, Host.


Award-winning status


[1] Early fault detection and identification technology for distribution lines、Devices and Applications. First Prize of Science and Technology Progress Award of China Electrotechnical Society. Ranking3.

[2] Key technologies and applications of synchronized phasor measurement systems for smart distribution networks. First Prize for Scientific and Technological Progress Award of State Grid Corporation of China. Ranking3.

 

Academic Type

Academic, professional

 

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