Changhong Zhao, Assistant Professor
Department of Information Engineering
The Chinese University of Hong Kong (CUHK)
PhD
students
- Yujin Huang, 2023 -
- Heng Liang, 2021 - 2025.
- Bohang Fang, 2021 - 2025.
- Tong Wu, 2020 - 2021 (with Angela Zhang). Cornell Tech (postdoc). University of Central Florida (8/2024).
MPhil
student
- Runjie Zhang, 2023 - 2025.
Postdocs
- Kaiping Qu, 2/2024 - 3/2025 (with Yue Chen). Fuzhou University.
- Wei Lin, 8/2021 - 9/2022. PolyU, HKU (postdoc). Chongqing University (1/2025).
- Wanjun Huang, 11/2021 - 8/2022. Beihang University.
- Sidun Fang, 5/2020 - 8/2021. Chongqing University.
Research
projects
Joint optimization of distribution network topology and nonlinear power flow.
-
Consider an optimal
topology and power flow (OTPF) problem in power distribution networks, which
jointly optimizes the on/off status of power lines and the generations, loads,
and power flows, for more reliable, economical, and sustainable operation.
-
Develop OTPF
solution algorithms with improved scalability and optimality, considering the
practical unbalanced three-phase nonlinear AC power flow models, the
uncertainties of renewable generations and loads, and the key reliability
indices, e.g., voltage stability, that do not have closed-form expressions.
Machine learning for reliable and efficient power system operation.
-
Develop a
neural-network-based machine-learning method to design decentralized nonlinear
frequency and voltage feedback controllers for the power grid.
-
Steer the power
system dynamics to a new equilibrium after drastic changes in operating
conditions, while guaranteeing asymptotic stability and transient safety of
frequency and voltage.
-
Optimize transient
performance such as the maximum frequency and voltage deviations, their
variances in the presence of noisy power injections and measurements, and the
integral of control efforts over time.
Optimizing fast frequency response of distributed energy resources.
-
Develop a systematic
framework for DERs to provide inertial and primary-frequency response to the
transmission network, under realistic nonlinear AC power flow models and safety
limits of distribution networks.
-
At the distribution
level, the capabilities of DERs to provide fast frequency reserves are
quantified.
-
At the transmission
level, the power exchanges at substations are controlled to optimize the rate
of change of frequency, frequency overshoot, settling time, and steady state.
Optimizing three-phase power flow via convex relaxation and distributed feedback (completed).
-
Develop an (exact)
convex semidefinite relaxation to solve nonconvex optimal power flow (OPF)
problems in unbalanced three-phase networks.
-
Develop a scalable,
computationally efficient algorithm through distributed feedback to approach
the OPF solution.