江彦

助理教授

教育背景

电气工程博士 & 应用数学与统计硕士(约翰霍普金斯大学)

电气工程硕士(华中科技大学)

电气工程及其自动化学士(哈尔滨工业大学)

研究领域
控制理论;电力系统
学术领域
电子工程,新能源科学与工程
电子邮件
yjiang@cuhk.edu.cn
个人简介

江彦于2024年9月加入香港中文大学(深圳)理工学院担任助理教授。她于2013年取得哈尔滨工业大学电气工程及其自动化专业学士,2016年取得华中科技大学电气工程专业硕士,2021年取得约翰霍普金斯大学电气工程专业博士及应用数学与统计专业硕士。毕业后,她于2021至2024年在华盛顿大学西雅图分校电气与计算机工程系任博士后。她的研究致力于控制理论,运筹优化及机器学习在电力系统中的应用。

学术著作

期刊

  1. Y. Jiang, H. Min, and B. Zhang, “Oscillations-aware frequency security assessment via efficient worst-case frequency nadir computation,” Electric Power Systems Research, vol. 234, p. 110656, Sep. 2024 (also in Power Systems Computation Conference 2024).
  2. O. O. Khamisov, M. Ali, T. Sayfutdinov, Y. Jiang, V. Terzija, and P. Vorobev, “A novel contingency-aware primary frequency control for power grids with high CIG-penetration,” IEEE Transactions on Power Systems, vol. 39, no. 4, pp. 5792–5805, July 2024.
  3. W. Cui, Y. Jiang, and B. Zhang, “Reinforcement learning for optimal primary frequency control: A lyapunov approach,” IEEE Transactions on Power Systems, vol. 38, no. 2, pp. 1676–1688, March 2023.
  4. Y. Jiang, W. Cui, B. Zhang, and J. Cortes, “Stable reinforcement learning for optimal frequency control: A distributed averaging-based integral approach,” IEEE Open Journal of Control Systems, vol. 1, pp. 194–209, Oct. 2022.
  5. Y. Jiang, A. Bernstein, P. Vorobev, and E. Mallada, “Grid-forming frequency shaping control for low-inertia power systems,” IEEE Control Systems Letters, vol. 5, no. 6, pp. 1988–1993, Dec. 2021 (also in American Control Conference 2021).
  6. Y. Jiang, E. Cohn, P. Vorobev, and E. Mallada, “Storage-based frequency shaping control,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5006–5019, Nov. 2021.
  7. Y. Jiang, R. Pates, and E. Mallada, “Dynamic droop control for low-inertia power systems,” IEEE Transactions on Automatic Control, vol. 66, no. 8, pp. 3518–3533, Aug. 2021.
  8. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, C. De Persis, and F. Dorfler, “Robust decentralized secondary frequency control in power systems: Merits and tradeoffs,” IEEE Transactions on Automatic Control, vol. 64, no. 10, pp. 3967–3982, Oct. 2019.

 

会议

  1. W. Cui, Y. Jiang, B. Zhang, and Y. Shi, “Structured neural-PI control with end-to-end stability and output tracking guarantees,” in Proc. of Conference on Neural Information Processing Systems, Dec. 2023, pp. 68 434–68 457.
  2. Y. Jiang, W. Cui, B. Zhang, and J. Cortes, “Equilibria of fully decentralized learning in networked systems,” in Proc. of Learning for Dynamics and Control Conference, June 2023, pp. 333–345.
  3. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, F. D ̈orfler, and C. D. Persis, “Robust decentralized frequency control: A leaky integrator approach,” in Proc. of European Control Conference, June 2018, pp. 764–769.
  4. Y. Jiang, R. Pates, and E. Mallada, “Performance tradeoffs of dynamically controlled grid-connected inverters in low inertia power systems,” in Proc. of IEEE Conference on Decision and Control, Dec. 2017, pp. 5098–5105.
  5. Y. Jiang, X. Ruan, and C. Xiong, “Study of loop gain measurement of digitally controlled DC/DC converters,” in Proc. of IEEE International Power Electronics and Motion Control Conference, May 2016, pp. 2806–2812.