Hybrid AC/DC Microgrid Clusters

Predefined-time optimization and resilient distributed control.

Ph.D. researcher at Huazhong University of Science and Technology, currently visiting Nanyang Technological University. Expecting to complete my Ph.D. in late 2026 and actively seeking Postdoctoral opportunities in Control, Optimization, and Energy Systems starting in Spring 2027. My work connects power flow optimization, distributed control, and cyber-resilient operation for networked microgrids.

9
Journal papers
6
Conference papers
17
Conference Presentations
Yu Zhang portrait

Research focus

Predefined-time control with safety, optimality, and resilience guarantees.

Education

Academic path.

  1. Visiting Scholar/Student

    Nanyang Technological University, School of Electrical and Electronic Engineering.

    Advisors: Prof. Hung Dinh Nguyen and Prof. Changyun Wen
  2. Ph.D. Control Science & Engineering

    Huazhong University of Science and Technology, School of Artificial Intelligence and Automation.

    Advisor: Prof. Yan-Wu Wang
  3. B.S. Electrical Engineering

    Taiyuan University of Technology, College of Electrical and Power Engineering.

    Advisor: Prof. Xiao-Ming Chang
Microgrid cluster example

Problem Space

From renewable integration to reliable micro-scale power systems.

My research targets the operational layer of microgrids: fast convergence, constraint handling, networked implementation, and robustness under limited communication or malicious data.

Research System

Four connected directions for future energy networks.

01

Economic Dispatch

Smooth reconstruction penalty functions and distributed predefined-time dispatch.

02

Cooperative Control

Voltage, frequency, and global power sharing in hybrid AC/DC microgrids.

03

Power Flow Optimization

Multi-objective phase-angle control and voltage-safe load sharing.

04

Resilient Control

DoS and FDI attack compensation for single and networked DC microgrids.

Selected Output

Publications.

Click any publication to open its DOI page or a Google Scholar search. Citation badges use OpenAlex indexed counts when available.

Working Papers

Current research pipeline.

I am preparing preprints and working papers targeting high-impact venues, with an emphasis on generalizable learning-based decision systems for energy management.

Working Paper

Physics-enhanced decision transformer method for hybrid energy storage system management

Positioning physics-informed reinforcement learning as a decision layer for safe, efficient, and transferable hybrid energy storage control.

Skills

Theory, code, and hardware-aware research workflow.

Predefined-time control Distributed optimization Reinforcement learning PPO algorithms Reward scaling design Physics-informed reinforcement learning Decision transformers Python MATLAB / Simulink Power electronics modeling PCB design High-precision industrial controller development Modern research automation workflow

Projects & Honors

Research support and recognition.

Hosted

HUST Innovation Research Institute Technology Innovation Fund

Optimal frequency control strategy of microgrid based on distributed energy storage, 2024.09-2025.09.

Hubei Key R&D Program

Coordinated Control and Optimization for Smart Microgrids Based on Energy Storage Clusters

Multi-timescale cooperative control of energy storage under emergency scenarios, 2025.8-2027.8.

NSFC Key Project

Regional Energy Internet

Flow optimization and collaborative control for distributed regional energy networks, 2023.01-2027.12.

Conference Atlas

Academic travel, mapped as a live research orbit.

17 records 13 cities 2021-2025
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Trajectory

Attended conferences and academic events

    Contact

    Open to postdoctoral research collaborations in control, optimization, and energy systems.

    N2505927K@e.ntu.edu.sg yuzhang_hust@hust.edu.cn Wuhan, China / Singapore