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師資隊伍

崔秋實

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崔秋實

學歷:博士

職稱:副教授

郵箱: qcui@cqu.edu.cn

研究方向:電網人工智能技術,電網大數據,新型電力系統保護和控制
  • 個人簡介
  • 人才培養
  • 科學研究
  • 學術兼職

崔秋實,重慶大學電氣工程學院副教授,重慶英才·青年拔尖人才,上海高校特聘教授(東方學者),李文沅院士團隊青年骨干成員。擔任IEEE電力與能源協會大數據分析委員會網絡論壇任務組副主席,大數據輔導系列論壇創始主席。碩士和博士分別畢業于美國伊利諾伊理工大學(IIT)和加拿大麥吉爾大學(McGill),在加拿大歐泊實時仿真公司(OPAL-RT)和美國亞利桑那州立大學(ASU)擔任過研發工程師和博士后研究員。他的研究緊密結合人工智能,大數據,電力系統和新能源并網,主要研究方向包括電力系統人工智能,醫工結合,電力系統保護與控制,綜合能源系統,新能源并網測試,電網實時仿真與數字孿生等。

現為李文沅院士團隊核心成員,招收博士、碩士等,課題組(AI for Power Systems)擁有良好的科研平臺和國際化背景,歡迎新同學加入!

崔博士是加拿大自然科學與工程技術研究(NSERC)博士后基金獲得者,加拿大魁北克省自然科技基金(FRQNT)博士后基金獲得者。2016-2019年,崔博士分別在英國、美國、中國舉辦的三個國際會議(第13屆IET電力系統保護發展會議,第51屆北美電力研討會,和2019 IEEE可持續能源和電力會議)獲得了最佳論文獎排名均為第一。近五年主持加拿大自然科學基金項目等6項,領導并參與了十多個國家級和省級項目,包括美國自然科學基金,美國能源部,美國能源部先進研究計劃署,美國電力系統工程研究中心,美國國家電力科學研究院,美國亞利桑那州鹽河水力和電力供應項目,和加拿大魁北克省自然科技基金等。

崔博士擁有豐富的工業及工程經驗,為OPAL-RT公司提出了人工智能技術應用于電網保護的通用框架,打通了人工智能算法與硬件在環測試之間的技術壁壘,通過Python API接口編程實現了多場景仿真的自動運行,開發了世界首個Hypersim微電網系統以及基于Matlab Simulink繼電保護模塊庫,公司該產品的銷售額達到每年3000多萬美元。崔博士領導的創業團隊,開發了新能源電動車充電樁并網規劃與運營云計算和分析工具,從全球幾百個項目中脫穎而出,入選中國教育部舉辦的第13屆“春暉杯”海外留學生創新創業大賽決賽能源組前六名,獲得第三屆南通創業創新大賽技術創新獎。


指導學生(博士 8 人,碩士 26 人)

  • 重慶大學:張一弓 (博士),張美偉 (博士), 石立賢 (博士), 彭柯,郭恒,劉瑤,邸建, 聶遠碧, 王卓恒, 祝陳哲

  • 上海電力大學:王亞輝, 唐芯璐, 王雨茹, 陳東坤 (均是碩士)

  • ASU電力系統機器學習實驗室Haoran Li (博士), Kishan Prudhvi Guddanti (博士), Muhammad Bilal Saleem (博士), Shuman Luo (博士), Jingyi Yuan (博士), Syed Muhammad Yousaf Hashmy (碩士), Yousef Alali (碩士), Ramyashree Satyanarayanarao (), Abhishek Yatin Jathar (碩士.), Suraj Tele (碩士), Ravikumar Patel (碩士)

  • USPCAS-E項目:Hassan Zahid Butt, Hamd Ullah, Mehak Asad, Muhammad Huzaifa Siddique, Muhammad Suhaib, Jawad Ul Islam, Aehtsham Ul Haq, Asfandyar Khalid, Muhammad Adeel Arif, Iatizaz Ahsan (均是碩士)

預印

[1] Y. Tan, B. Jin, Q. Cui, X. Yue, and A. Sangiovanni-Vincentelli, “Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation,” arXiv preprint arXiv:2008.08713, 2020. (Collaboration with the Co-founder of Electronic Design Automation (EDA) software)

期刊出版物

[2] X. Tang, Q. Cui*, Y. Weng, Y. Su and D. Li, “Identify Incipient Faults Through Similarity Comparison with Waveform Split-Recognition Framework”, Frontier in Energy Research, Feb. 2023.

[3] Y. Wang, Q. Cui*, Y. Weng, D. Li and W. Li, “Learning Picturized and Time-series Data for Fault Location with Renewable Energy Sources”, International Journal of Electrical Power and Energy Systems, Nov. 2022.

[4] H. Wang, Y. Ye, Y. Chen, Y. Chen, Q. Yang, Q. Cui, and P. You, “AI, Data Analytics, and Mechanism Design for DER Integration Toward Net Zero”. Frontiers in Energy Research, p.1836, 2022.

[5] Y. Weng, S. Luo, Q. Cui*, R. Trask, and H. Wang, “House-Level Storage Device,” IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 464 - 475, Jan. 2023.

[6] Y. Weng, Q. Cui*, and M. Guo, “Transform Waveforms into Signature Vectors for General-purpose Incipient Fault Detection,” IEEE Transactions on Power Delivery, vol. 37, no. 6, pp. 4559 - 4569, Dec. 2022.

[7] Q. Cui, G. Kim, and Y. Weng, “Twin-Delayed Deep Deterministic Policy Gradient for Low Frequency Oscillation Damping Control,” Energies, 14(20): 6695, 2021.

[8] T. Chen, C. Gao, H. Hui, Q. Cui, H. Long, “A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis,” Transactions of the Institute of Measurement and Control, Nov. 2021.

[9] S. Phommixay, M.L. Doumbia and Q. Cui, “Comparative analysis of continuous and hybrid binary-continuous particle swarm optimization for optimal economic operation of a microgrid,” Process Integration and Optimization for Sustainability (2021).

[10] S. Phommixay, M.L. Doumbia and Q. Cui, “A Two-layer Optimization Approach for Economic Operation of a Microgrid Under a Planned Outage,” Sustainable Cities and Society, Volume 66, Mar. 2021.

[11] T. Chen, Q. Cui, C. Gao, Q. Hu, K. Lai, J. Yang, R. Lyu, H. Zhang, and J. Zhang, “Optimal demand response strategy of commercial Building-based virtual power plant using reinforcement learning,” IET Generation, Transmission & Distribution, Vol. 15, Issue 16, pp. 2309-2318, Aug. 2021.

[12] Q. Cui, and Y. Weng, “An Environment-adaptive Protection Scheme with Long-term Reward for Distribution Networks,” International Journal of Electrical Power and Energy Systems, 124, p.106350.

[13] Q. Cui, S. M. Yousaf, Y. Weng, and M. Dyer, “Reinforcement Learning Based Recloser Control for Distribution Cables with Degraded Insulation Level,” IEEE Transactions on Power Delivery, vol. 36, no. 2, pp. 1118-1127, April 2021.

[14] Q. Cui, and Y. Weng, “Enhance High Impedance Fault Detection and Location Accuracy via μ-PMUs,” I EEE Transactions on Smart Grid, vol. 11, no. 1, pp. 797-809, Jan. 2020.

[15] Q. Cui, Y. Weng, and C. W. Tan, “Electric Vehicle Charging Station Placement Method for Urban Areas,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6552-6565, Nov. 2019.

[16] Q. Cui, K. El-Arroudi, and Y. Weng, “A Feature Selection Method for High Impedance Fault Detection,” IEEE Transactions on Power Delivery, vol. 34, no. 3, pp. 1203-1215, Jun. 2019.

[17] Q. Cui, K. El-Arroudi, and G. Joos, “Islanding Detection of Hybrid Distributed Generation Under Reduced Non-Detection Zone,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 5027-5037, Sep. 2018.

[18] Q. Cui, K. El-Arroudi, and G. Joos, “Real-time Hardware-in-the-loop Simulation for Islanding Detection Schemes in Hybrid Distributed Generation Systems,” IET Generation, Transmission & Distribution, vol. 11, no. 12, pp. 3050-3056, Aug. 2017.

會議出版物

[19] Q. Cui, M. Guo and Y. Weng, “Sig2Vec: Dictionary Design for Incipient Faults in Distribution Systems,” IEEE Power and Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023.

[20] Q. Cui and Y. Weng, “Mining Partially Labeled Data from Edge Devices to Detect and Locate High Impedance Faults,” IEEE Sustainable Power & Energy Conference (iSPEC), Beijing, China, 2019 (最佳論文獎,200多篇論文中排名第一).

[21] J. Yuan, Q. Cui, Z. Ma, and Y. Weng, “Learning EV Placement Factors with Social Welfare and Economic Variation Modeling,” North American Power Symposium (NAPS), Wichita, KS, USA, 2019 (最佳論文展示獎,203篇論文中排名第一)

[22] Q. Cui, S. Li, K. El-Arroudi, and G. Joos, “Multifunction Intelligent Relay for Inverter-based Distributed Generation,” in Developments in Power System Protection (DPSP), 13th IET International Conference, Edinburgh, UK 2016 (最佳論文獎,200多篇論文中排名第一)

專利

[23] Q. Cui, Y. Weng, K. El-Arroudi, and S. Hashmy, “Effective Feature Set- Based High Impedance Fault Detector,” Provisional Patent Application No. 62/859,929 (Jun. 11, 2019).

[24] Q. Cui, Y. Weng, “Enhance High Impedance Fault Detection and Location Accuracy via μ-PMUs,” Provisional Patent Application No. 63/039,215 (Jun. 15, 2020).

[25] Q. Cui, Y. Weng, “Reinforcement Learning Based Recloser Control for Distribution Cables with Degraded Insulation Level,” Provisional Patent Application No. 63/105,629 (Oct. 26, 2020).

工業白皮書

[26] Q. Cui, “Data-mining-based Microgrid Protection Scheme,” Internal Research Report of OPAL-RT Technologies Inc., Montreal, QC, Oct. 2017.

[27] Q. Cui, “27, 50/51, 59, 81, 87 Relay,” Product Documentation of Hypersim Relay Library of OPAL-RT Technologies Inc., Montreal, QC, Feb. 2017.

  • IEEE PES 大數據分析委員會

  • 網絡論壇工作組副主席 2019年11月-至今)

  • 大數據輔導系列論壇創始主席創辦主席 2019年3月-至今)

  • 網絡論壇任務組副主席 2018年1月-2019年11月)

  • 演講嘉賓,“世界能源脫碳路徑”,全球綠色發展聯盟(Global Green Development Alliance),“健康世-綠色發展”系列講座第73期 (20232月)

  • 客座編輯,Frontiers In Smart Grids: Next-generation Smart Grid with AI and Advanced Energy Infrastructure towards Low Carbon Future and Net-zero2022年10月)

  • 執行主席,電力行業儲能技術與應用研討 2022年會2022年9月)

  • 技術委員會主席 (TPC), IEEE SmartGridComm’222022年8

  • 分論壇主席,5th International Electrical and Energy ConferenceCIEEC 2022,分論壇名稱: New Energy Power System 2022年5月)

  • 分論壇主席,5th International Conference on Energy, Electrical and Power EngineeringCEEPE 2022分論壇名稱: AI Green Energy2022年4月)

  • 主講嘉賓,大會組織委員會主席,第二屆工業技術與智能管理國際學術會議(ICITIM 20222022年1

  • 分論壇主席,IEEE Sustainable Power and Energy ConferenceiSPEC 2021),分論壇名稱: Fault Diagnosis and Detection 2021年12月)

  • 分論壇主席,11th International Conference on Power and Energy SystemsICPES 2021,分論壇名稱: New energy based modern power system 2021年12月)

  • 客座編輯,Frontiers in Energy Research: AI, Data Analytics, and Mechanism Design for DER Integration Toward Net Zero2021年11月)

  • 專題論壇主席,第52屆北美電力研討會,分論壇名稱: 電力系統應用中的人工智能和機器學習2021年4

  • IEEE菲尼克斯地區會議執行主席2020年1月至2021年4月)

  • IEEE北美電力研討會核心成員2020年7月)

  • 國際知名期刊及會議審稿人(2016年-至今)

  • 期刊:IEEE Transactions on {Smart Grid, Power Delivery, Power Systems, Industrial Informatics, Intelligent Transportation Systems, Transportation Electrification, Vehicular Technology}, IET Generation, Transmission and Distribution, Renewable Power Generation, Smart Grid, Science, Measurement and Technology, IEEE PES Letters, IEEE Systems Journal, International Journal of Electrical Power & Energy Systems, Journal of Modern Power Systems & Clean Energy, Protection and Control of Modern Power Systems

  • 會議:IEEE SmartGridComm’22, NAPS 2017 北美電力研討會,CCECE 2018 電氣與計機工程加拿大會議,iSPEC 2019電氣與電子工程師學會可持續電力與能源會議會員

  • 電氣與電子工程師學會: 電力與能源學會2010年-至今)

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