
姓名:吴华仪 性别:女
出生年月 籍贯:广东揭阳市
民族:汉族 政治面貌:中国共产党党员
最后学历:博士虎门体育官方登录入口网 最后学位:哲学博士
技术职称:助理教授 导师类别:硕导
行政职务: Email:huayiwu@scut.edu.cn
工作单位:虎门体育app下载官网 邮政编码:510641
通讯地址:虎门体育app下载官网五山路381号
单位电话:
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个人简介
吴华仪,虎门体育官方登录入口网助理教授、硕士生导师,分别于2016年、2019年在虎门体育app下载官网获得学士、硕士学位,于2022年在香港理工大学获得博士学位,并在该校从事博士后研究,2026年加入虎门体育官方登录入口网。主持或参与多项科研项目,发表SCI/EI论文30余篇。目前研究兴趣主要包括人工智能在电力系统运行和监测的应用。
工作经历
2026-至今 虎门体育app下载官网,助理教授
2022-2025 香港理工大学,博士后
教育经历
2019-2022 香港理工大学,博士
2016-2019 虎门体育app下载官网,硕士
2012-2016 虎门体育app下载官网,学士
获奖、荣誉称号
2025 广东省“珠江人才计划”青年拔尖人才
IEEE Transactions on Sustainable Energy期刊最佳审稿人(Exceptional Reviewer)
IEEE/IAS I&CPS Asia 2021 国际会议最佳论文奖(Best Paper)
Global Energy Interconnection期刊优秀论文奖(Outstanding Paper)
社会、学会及学术兼职
-IEEE Member
-担任IEEE Transactions on Power Systems,IEEE Transactions on Smart Grid,IEEE Transactions on Sustainable Energy,IEEE Transactions on Industrial Informatics,IEEE Transactions on Industry Applications,Applied Energy,International Journal of Electrical Power & Energy Systems,Journal of cleaner production,Sustainable Energy,Grids and Networks, Protection and Control of Modern Power Systems,Expert Systems With Applications等十余家电力、能源和人工智能领域期刊的审稿人
研究领域
人工智能在电力系统运行和监测的应用、电力系统最优潮流、新能源负荷预测、电力系统状态估计
科研项目
-香港理工大学博士后项目(PolyU Central Postdoctoral Fellowship Scheme),Smart Power Distribution System State Estimation and Voltage Regulation with High Penetration of Renewables,2023-2025,主持
-国家自然科学基金重点项目,72331008,参与
发表论文
Huayi Wu, Zhao Xu, “Prototype Federated Reinforcement Learning for Voltage Regulation in Distribution Systems with Physics-Aware Spatial-Temporal Graph Perception”, IEEE Transactions on Sustainable Energy, vol. 17, no. 1, pp. 697-708, Jan. 2026. DOI: 10.1109/TSTE.2025.3581286.
Huayi Wu, Zhao Xu, Minghao Wang, and Xue Lyu, “Meta-Learning Enhanced Physics-Informed Graph Attention Convolutional Network for Distribution Power System State Estimation”, IEEE Transactions on Network Science and Engineering, vol. 12, no. 2, pp. 1186-1197, March-April 2025,DOI: 10.1109/TNSE.2025.3525625.
Huayi Wu*, Zhao Xu, Shengwei Wang, “Hybrid Quantum-Transformer Network-Based Probabilistic Multi-Energy Flow Calculation in Integrated Energy System”, IEEE Internet of Things Journal, vol. 13, no. 7, pp. 13992-14002, April 2026. DOI: 10.1109/JIOT.2025.3649875.
Huayi Wu, Zhao Xu, Minghao Wang, Youwei Jia, “Full-Model-Free Adaptive Graph Deep Deterministic Policy Gradient Model for Multi-Terminal Soft Open Point Voltage Control in Distribution Systems”, Journal of Modern Power Systems and Clean Energy, vol. 12, no. 6, pp.1893-1904, Nov 2024, DOI: 10.35833/MPCE.2024.000177.
Huayi Wu, Zhao Xu, “Multi-Energy Load Forecasting in Integrated Energy Systems: A Spatial-Temporal Adaptive Personalized Federated Learning Approach”, IEEE Transactions on Industrial Informatics, vol. 20, no. 10, pp. 12262-12274, Oct 2024. DOI: 10.1109/TII.2024.3417297.
Huayi Wu, Zhao Xu, Youwei Jia, “Optimal Hydrogen-Battery Energy Storage System Operation in Microgrid with Zero-carbon Emission”, Global Energy Interconnection, vol. 7, no. 5, pp. 616-628, Oct. 2024. DOI: 10.1016/j.gloei.2024.10.006.
Huayi Wu, Zhao Xu, Jiaqi Ruan, etc., “PFL-DSSE: A Personalized Federated Learning Approach for Distribution System State Estimation”, CSEE Journal of Power and Energy Systems, vol. 10, no. 5, pp. 2265 - 2270, Sept 2024, DOI: 10.17775/CSEEJPES.2023.08830.
Huayi Wu, Zhao Xu, “Multi-Energy Flow Calculation in Integrated Energy System via Topological Graph Attention Convolutional Network with Transfer Learning”, Energy, vol. 303, pp. 132018, Sept. 2024. DOI: 10.1016/j.energy.2024.132018.
Huayi Wu, Zhao Xu, Minghao Wang, Jian Zhao, Xu Xu, “Two-Stage Voltage Regulation in Power Distribution System Based on Graph Reinforcement Learning”, International Journal of Electrical Power and Energy Systems, vol. 151, pp. 109158, Sept. 2023. DOI: 10.1016/j.ijepes.2023.109158.
Huayi Wu, Zhao Xu, Youwei Jia, Xu Xu, “Adaptive Distributed Graph Model for Multiple Line Outage Identification in Large-Scale Power System”, IEEE Systems Journal, vol. 17, no. 2, pp. 3127-3137, June 2023.DOI: 10.1109/JSYST.2022.3210009.
Huayi Wu, Zhao Xu, Jian Zhao, and Songjian Chai, “Gridtopo-GAN for Distribution System Topology Identification”, IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 5356-5366, April 2023. DOI: 10.1109/TII.2022.3158614.
Huayi Wu, Zhao Xu, Minghao Wang, “Unrolled Spatiotemporal Graph Convolutional Network for Distribution System State Estimation and Forecasting”, IEEE Transactions on Sustainable Energy, vol. 14, no. 1, pp. 297-308, Jan. 2023. DOI: 10.1109/TSTE.2022.3211706.
Huayi Wu, Minghao Wang, Zhao Xu, and Youwei Jia, “Graph Attention Enabled Convolutional Network for Distribution System Probabilistic Power Flow”, IEEE Transactions on Industry Applications, vol. 58, no. 6, pp. 7068-7078, Nov.-Dec. 2022. DOI: 10.1109/TIA.2022.3202159.
Huayi Wu, Ping Dong, Mingbo Liu, “Distribution Network Reconfiguration for Loss Reduction and Voltage Stability With Random Fuzzy Uncertainties of Renewable Energy Generation and Load”, IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5655-5666, Sept. 2020. DOI: 10.1109/TII.2018.2871551.
Huayi Wu, Ping Dong, Mingbo Liu, “Random fuzzy power flow of distribution network with uncertain wind turbine, PV generation, and load based on random fuzzy theory”, IET Renewable Power Generation, vol. 12, no. 10, pp. 1180-1188, June 2018. DOI: 10.1049/iet-rpg.2017.0696.
Huayi Wu, Youwei Jia, and Zhao Xu, “Adaptive Graph Convolutional Network-Based Distribution System State Estimation”, in 2022 IEEE PES General Meeting, Denver, CO, USA., July 2022.
Huayi Wu, Minghao Wang, Zhao Xu, and Youwei Jia, “Probabilistic Power Flow of Distribution System Based on a Graph-Aware Deep Learning Network”, in 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Chengdu, China, July 2021.
Huayi Wu, Zhao Xu, and Minghao Wang, “Convolutional Deep Leaning-Based Distribution System Topology Identification with Renewables”, in 2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE), Chengdu, China, Dec. 2021.
Huayi Wu, Zhao Xu, “Fast DC Optimal Power Flow Based on Deep Convolutional Neural Network”, in 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), Nanjing, China, May 2022.
Huayi Wu, Minghao Wang, Zhao Xu, and Youwei Jia, “Active Constraint Identification Assisted DC Optimal Power Flow”, in 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Shanghai, China, July 2022.
Huayi Wu,Zhao Xu, Yibo Ding, etc. “Graph Convolutional Network-Based Federated Learning Approach for Distribution System Topology Identification”, in 11th China International Conference on Electricity Distribution (CICED), Hangzhou, China, Sept 2024.
科研创新
(1)吴华仪,许昭,杨洪明,徐志强,项胜,黄婧杰. 一种配电网拓扑识别方法、电子设备及介质[P]. 中国,ZL202111371966.2,2022-02-15.
(2)吴华仪,董萍,刘明波. 基于两阶段随机:D獾呐涞缤婊:绷魉惴╗P]. 中国,ZL201810220119.8,2021-05-25.
我的团队
“电力系统智能化调度与控制”团队