Publications

So far, my works consist of 4 topics as shown below. In the future, I wish to do more intetresing works on control and optimization for PEPS.

1. Deep Reinforcement Learning Applications

1. H. Xu, Guannan Qu, “A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control,” in IEEE Transactions on Smart Grid, 2024. (Under review)link

2. H. Xu, Guannan Qu, “A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Distributed Converter-based Microgrid Voltage Control”, in NeurIPS 2023 Workshop. (Poster)link

2. Topology-based Simulation Algorithms for Power Electronics System

1. H. Xu et al., “Topology-Aware Matrix Partitioning Method for FPGA Real-Time Simulation of Power Electronics Systems,” IEEE Trans. Ind. Electron., 2023.link

2. Z. Yu, Z. Zhao, B. Shi, and H. Xu, “An Automatic Circuit Partitioning Strategy for Accelerated Simulation of Power Electronic Systems,” IEEE Transactions on Power Electronics, vol. 38, no. 5, pp. 5619–5625, May 2023, doi: 10.1109/TPEL.2023.3237723.link

3. Numerical Derivative-based Simulation Algorithm for Hybrid Systems

1. H. Xu et al., “Numerical Derivative-based Flexible Integration Algorithm for Power Electronic Systems Simulation Considering Nonlinear Components,” IEEE Trans. Ind. Electron., 2023.link

2. H. Xu et al., “Multi-rate State-Variable-Interfaced Decoupling Simulation Strategy for Large-Scale Power Electronics Systems,” 2023 IEEE Energy Conversion Congress and Exposition.link

3. J. Zheng, Y. Zeng, Z. Zhao, W. Liu, H. Xu et al., “An Event Driven Synchronization Framework for Physical Controller Co-Simulation of Megawatt-Level Power Electronic Systems,” IEEE Trans. Ind. Electron., 2023.link

4. Simulation Algorithm Applications

1. H. Xu et al., “FPGA-Based Implicit-Explicit Real-time Simulation Solver for Railway Wireless Power Transfer with Nonlinear Magnetic Coupling Components,” IEEE Transactions on Transportation Electrification, 2023.link