CAI Sinan 蔡 思楠

Project Researcher, Ph.D.
Department of Electrical Engineering and Information Systems
Graduate School of Engineering
The University of Tokyo

Email: cai (at) enesys.t.u-tokyo.ac.jp


Contents


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 IEEE, the Institute of Electrical Engineers of Japan, and the Japan Society of Energy and Resources.

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

  • 2023/12- Institute of Electrical Engineers of Japan (IEEJ)
  • 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)

  • S. Cai, and R. Matsuahshi, “Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization.” Applied Energy 319 (2022): 119233, Aug. 2022. [doi]
  • S. Cai, and R. Matsuahshi, “Model predictive control for EV aggregators participating in system frequency regulation market.” IEEE Access 9 (2021): 80763-80771, Jun. 2021. [doi]
  • S. Cai, and R. Matsuahshi, “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)

  • R. Hong, D. Gu, R. Mo, S. Cai, and C. Zhang, “Research on optimization of EV energy storage V2G strategy based on user preference,” in Energy Storage Science and Technology, vol. 12, no.8, pp. 2659-2667, Aug. 2023. [doi]
  • P. Chen, H. Wang, M. Guo, J. Wang, S. Cai, M. Li, K. Sun, and Y. Wang, “Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example,” in Sustainability, vol. 14, no. 17, pp. 11109, Sept, 2022. [doi]
  • 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, M. Mae and R. Matsuhashi, “Profit-Oriented Electricity Price Forecast Method for Demand Responses,” 2024 IEEE 12th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2024, pp. 151-155. [doi]

  • S. Cai, M. Mae, and R. Matsuhashi, “A Novel Criterion of Electricity Price Forecast for Demand-Side Responses Participating in the Electricity Market,” 2024 20th International Conference on the European Energy Market (EEM), Istanbul, Turkiye, 2024, pp. 1-5. [doi]

  • 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, M.Mae, and R. Matsuahshi, “Profit-oriented Criterion of JEPX Spot Price Forecast for Demand-side Responses,” 令和7年電気学会全国大会, 6(99), 154-155, Mar. 2025.
  • T. Yoshimoto, S. Cai, M.Mae, and R. Matsuahshi, “Research on Average Price Prediction of Intraday Market of JEPX,” 第 40 回エネルギーシステム・経済・環境コンファレンス, 14(1), 370-372, Tokyo, Japan, Jan. 2024.
  • S. Cai, M.Mae, and R. Matsuahshi, “A Comparison of Electricity Market Price Forecasting Methods for Demand Responses,” 令和6年電気学会全国大会, 6(96), 154-155, Mar. 2024
  • S. Cai, and R. Matsuahshi, “A Control Method for Compensating Communication Delays in Load Frequency Control,” エネルギー・資源学会第 38 回研究発表会, 10(1), 370-372, 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.

Poster Presentations

  • S. Cai, and R. Matsuhashi, “EV as Demand-sdie Response,” UTCCS Annual Workshop, Mar. 2025.

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) [Link]

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2月 (Electric Vehicles and the Electricity Market, “Chapter 2: Electric Vehicles and the Electricity Market in the U.S.”, China Electric Power Press, Feb. 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2月)

Patent

  • 負荷周波数制御信号を推定する方法、プロセッサ、およびプログラム(特願2020-125514, 特開2022-021737) [Link]

Research Project

  • The University of Tokyo, Collaborative Research Organization for Comprehensive Energy Sciences, “Power System Innovation Realization (Social Cooperation Research with Fuji Electric Co., Ltd.)” Apr. 2023 - .
  • State Grid Shanghai Electric Power Company, Institute of Economics and Reserach, Energy Reserach Center, “Supply-Load Modeling of Electric Vehicles and Research on V2G under New Energy Policies,” Mar. 2022 - Dec. 2022.

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