电气工程博士

郑晓东

Xiaodong Zheng

电力系统智能决策与控制

郑晓东，电气工程博士。2026年获西安交通大学工学博士学位，师从曹晖教授；此前获南加州大学电气工程硕士学位和佛罗里达理工学院电气工程学士学位。研究围绕多智能体强化学习、电力时间序列预测与大模型智能体，面向主动配电网优化控制、新能源与储能协同调度，以及电力系统仿真任务自动化。

代表论文 GitHub 博客联系

研究方向

多智能体强化学习与电网协同控制

研究异质设备与动作空间下的协同决策，应用于主动配电网电压无功控制与主配网负荷频率控制。

多智能体强化学习 / 异质资源 / 电网控制

新能源、储能与电力时序预测

面向多充电站储能调度、城市负荷和风电功率预测，结合图学习、强化学习与时序大模型。

图学习 / 时间序列 / 储能调度

电力系统智能体与仿真自动化

基于大语言模型的任务规划、仿真工具调用与结果校验，构建可复现的多智能体训练环境。

大语言模型 / 任务规划 / 仿真环境

代表论文

2025

Sensitivity-Based Heterogeneous Ordered Multi-Agent Reinforcement Learning for Distributed Volt-Var Control in Active Distribution Network

Xiaodong Zheng, Shixuan Yu, Hui Cao, Tianzhuo Shi, Shuangsi Xue, Tao Ding

IEEE Transactions on Smart Grid, 16(3): 2115–2126已发表

以灵敏度排序与异质多智能体强化学习，研究主动配电网分布式电压无功控制。

DOI 项目代码

@article{shom2025,
  title = {Sensitivity-Based Heterogeneous Ordered Multi-Agent Reinforcement Learning for Distributed Volt-Var Control in Active Distribution Network},
  author = {Xiaodong Zheng and Shixuan Yu and Hui Cao and Tianzhuo Shi and Shuangsi Xue and Tao Ding},
  journal = {IEEE Transactions on Smart Grid},
  year = {2025},
  volume = {16},
  number = {3},
  pages = {2115--2126},
  doi = {10.1109/TSG.2025.3540416}
}

2027

Making large time series models work for urban load forecasting: A dual-stream large-lightweight hybrid framework with trend–fluctuation decomposition

Xiaodong Zheng, Tiansen Niu, Junkai Tan, Qingshu Guan, Xinyao Dong, Shuangsi Xue, Hui Cao

Electric Power Systems Research, 265: 114258即将刊出（卷期2027）

通过趋势与波动分解，结合大型与轻量模型进行城市负荷预测。

DOI

@article{urbanload2027,
  title = {Making large time series models work for urban load forecasting: A dual-stream large-lightweight hybrid framework with trend–fluctuation decomposition},
  author = {Xiaodong Zheng and Tiansen Niu and Junkai Tan and Qingshu Guan and Xinyao Dong and Shuangsi Xue and Hui Cao},
  journal = {Electric Power Systems Research},
  year = {2027},
  volume = {265},
  pages = {114258},
  doi = {10.1016/j.epsr.2026.114258},
  note = {Forthcoming}
}

2026

Graph-Oriented Deep Reinforcement Learning Approach for Vehicle Routing Problems

Xiaodong Zheng, Qingshu Guan, Shuangsi Xue, Hui Cao, Badong Chen

Neurocomputing, 699: 134376已发表

DOI

@article{graphrl2026,
  title = {Graph-Oriented Deep Reinforcement Learning Approach for Vehicle Routing Problems},
  author = {Xiaodong Zheng and Qingshu Guan and Shuangsi Xue and Hui Cao and Badong Chen},
  journal = {Neurocomputing},
  year = {2026},
  volume = {699},
  pages = {134376},
  doi = {10.1016/j.neucom.2026.134376}
}

2026

耦合交通预测多智能体强化学习的虚拟聚合储能多充电站协同调度

郑晓东, 石天卓, 张盼盼, 张晓彤, 薛霜思, 丁涛, 曹晖

电网技术, 50(5): 1973–1984已发表

将交通预测与多智能体强化学习相结合，研究虚拟聚合储能下的多充电站协同调度。

DOI

@article{storage2026,
  title = {耦合交通预测多智能体强化学习的虚拟聚合储能多充电站协同调度},
  author = {郑晓东 and 石天卓 and 张盼盼 and 张晓彤 and 薛霜思 and 丁涛 and 曹晖},
  journal = {Power System Technology},
  year = {2026},
  volume = {50},
  number = {5},
  pages = {1973--1984},
  doi = {10.13335/j.1000-3673.pst.2025.0918}
}

2026

Order-Based Heterogeneous Agents Reinforcement Learning Method With the Coordination of Distribution Network and Transmission Network for Load Frequency Control

Shixuan Yu, Xiaodong Zheng, Tianzhuo Shi, Ruilin Chen, Shuangsi Xue, Hui Cao

IEEE Transactions on Power Systems, 41(1): 413–424已发表

DOI

@article{frequency2026,
  title = {Order-Based Heterogeneous Agents Reinforcement Learning Method With the Coordination of Distribution Network and Transmission Network for Load Frequency Control},
  author = {Shixuan Yu and Xiaodong Zheng and Tianzhuo Shi and Ruilin Chen and Shuangsi Xue and Hui Cao},
  journal = {IEEE Transactions on Power Systems},
  year = {2026},
  volume = {41},
  number = {1},
  pages = {413--424},
  doi = {10.1109/TPWRS.2025.3598951}
}

2025

Agentic Planning for Power System Simulation Task Orchestrations Based on Multi-Agent Systems

Xiaodong Zheng, Siheng Zhao, Tianzhuo Shi, Tao Wang, Ruilin Chen, Shixuan Yu, Shuangsi Xue, Hui Cao

2025 8th International Conference on Robotics, Control and Automation Engineering (RCAE), 576–584已发表

DOI

@inproceedings{agenticplanning2025,
  title = {Agentic Planning for Power System Simulation Task Orchestrations Based on Multi-Agent Systems},
  author = {Xiaodong Zheng and Siheng Zhao and Tianzhuo Shi and Tao Wang and Ruilin Chen and Shixuan Yu and Shuangsi Xue and Hui Cao},
  booktitle = {2025 8th International Conference on Robotics, Control and Automation Engineering (RCAE)},
  year = {2025},
  pages = {576--584},
  doi = {10.1109/RCAE66389.2025.11355202}
}

2026

Fixed-Time Convergent Resilient Critic-Learning Control With Asymmetric Input-State Constraints Under Hybrid FDI–DoS Attacks

Junkai Tan, Shuangsi Xue, Qingshu Guan, Xiaodong Zheng, Hui Cao, Badong Chen

IEEE Transactions on Industrial Informatics, Early Access在线发表

DOI

@article{resilientcontrol2026,
  title = {Fixed-Time Convergent Resilient Critic-Learning Control With Asymmetric Input-State Constraints Under Hybrid FDI–DoS Attacks},
  author = {Junkai Tan and Shuangsi Xue and Qingshu Guan and Xiaodong Zheng and Hui Cao and Badong Chen},
  journal = {IEEE Transactions on Industrial Informatics},
  year = {2026},
  doi = {10.1109/TII.2026.3714681},
  note = {Early Access}
}

2026

Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network

Kai Qu, Shuangsi Xue, Xiaodong Zheng, Dapeng Yan, Hui Cao

Renewable Energy, 258: 124969已发表

DOI

@article{windforecast2026,
  title = {Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network},
  author = {Kai Qu and Shuangsi Xue and Xiaodong Zheng and Dapeng Yan and Hui Cao},
  journal = {Renewable Energy},
  year = {2026},
  volume = {258},
  pages = {124969},
  doi = {10.1016/j.renene.2025.124969}
}