About

Biography

Sinan Cai received the B.E. degree in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2016, and the M.S. degree in electrical engineering from Rensselaer Polytechnic Institute, NY, USA, in 2018. He received the Ph.D. degree in electrical engineering and information systems at the University of Tokyo, Tokyo, Japan, in 2021. He worked in the Economic and Technology Research Institute of Shanghai Electric Power Company, State Grid Corporation of China from 2021 to 2023. He has been a project researcher at the Electrical Engineering and Information Systems Department, the University of Tokyo since 2023. He is currently a member of the Japan Society of Energy and Resources and IEEE.

His research interests include power system stability and control, demand response, smart grid technologies, and renewable energy generation technology.

Experience

Career

2023/04- Project Researcher at the Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo
2021/10-2023/03 Economic and Technology Research Institute of Shanghai Electric Power Company, State Grid Corporation of China

Education

2021/09 Ph.D. in Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo
2017/12 M.S. in Department of Electrical, Computer, and Systems Engineering, School of Electrical Engineering, Rensselaer Polytechnic Institute
2016/06 B.E. in Institute of Power Systems and Its Resilience, School of Electrical Engineering, Xi’an Jiaotong University

Research

2017/07-2017/08, Research Assistant, Rensselaer Polytechnic Institute
2015/07-2015/08, Junior Research Assistant, The Chinese University of Hong Kong

Society

2023/05- Institute of Electrical and Electronics Engineers (IEEE)
2019/04- Japan Society of Energy and Resources (JSER エネルギー・資源学会)

Research

Journal

Journal Articles (peer-reviewed)

Cai, Sinan, and Ryuji Matsuhashi. “Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization.” Applied Energy 319 (2022): 119233, Aug. 2022. [doi]
Cai, Sinan, and Ryuji Matsuhashi. “Model predictive control for EV aggregators participating in system frequency regulation market.” IEEE Access 9 (2021): 80763-80771, Jun. 2021. [doi]
Cai, Sinan, and Ryuji Matsuhashi. “A Control Method for Compensating Communication Delays in Load Frequency Control with Electric Vehicle Aggregators.” エネルギー・資源学会論文誌 41.1 (2020): 1-10, Jan. 2020. [doi] .

Co-authered Journal Articles (peer-reviewed)

Y. Zhang, M. H. Hajiesmaili, S. Cai, M. Chen and Q. Zhu, “Peak-Aware Online Economic Dispatching for Microgrids,” in IEEE Transactions on Smart Grid, vol. 9, no. 1, pp. 323-335, Jan. 2018, doi: 10.1109/TSG.2016.2551282, Apr. 2016. [doi]

Conference

Conference Proceedings (peer-reviewed)

S. Cai and R. Matsuhashi, “Communication Delay Compensation by Adaptive Parameter Estimation for Electric Vehicle Aggregators Joining Load Frequency Control,” 2020 IEEE 8th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2020, pp. 33-38. [doi]

Conference Presentations

S. Cai, and R. Matsuahshi, “A Control Method for Compensating Communication Delays in Load Frequency Control, ” 第 38 回エネルギーシステム・経済・環境コンファレンス, Tokyo, Japan, Aug. 2019.
S. Cai, and R. Matsuahshi, “A Compensation Method for Electric Vehicle Aggregators with Communication Delays in Frequency Regulation Service, ” UT-SNU Joint Seminar in Electrical Engineering, Seoul, South Korea, May, 2019.

Degree Paper

Ph.D. Dissertation

Design of a Novel Load Frequency Control Scheme for EV Aggregators (系統負荷周波数制御に参加したEVアグリゲーターに対する新たな制御設計)

Master Thesis

Damping of Resonance Between Type-III Wind Turbines and a Series-Compensated Grid (III型風力タービンと弱交流系統の共振の制振方法設計)

Bachelor Thesis

A More Efficient Newton-Raphson Method in Rectangular Coordinates for Load Flow Calculation (直交座標系における新たな潮流計算ニュートンラフソン法 / 直角坐标系下的基于电压电流功率方程的新型牛顿拉夫逊潮流计算算法)

Book

电动汽车与电力市场, “第2章美国电动汽车与电力市场”, 中国电力出版社, 2023年1月 (Electric Vehicles and the Electricity Market, “Chapter 2: Electric Vehicles and the Electricity Market in the U.S.”, China Electric Power Press, Jan. 2023 / 電気自動車と電力市場，“第2章米国の電気自動車と電力市場”，中国電力出版社，2023年1月)

Patent

電気自動車が系統負荷周波数制御を参加する場合で起きた通信遅延を補償する制御方法の設計

Award

国网上海市电力公司科学技术进步三等奖，“适用于疫情冲击和极端气候影响的负荷预测新技术”，2022 (The Third Technical Progress Award of Shanghai Electric Power Company, State Grid Corporation of China, “A Novel Load Forecasting Technique Considering the Impact of Epidemic and Extreme Climate”, 2022)
Todai Fellowship (東大フェローシップ), 2018-2021
Outstanding Graduate of Xi’an Jiao Tong University, 2016