1996.09－1999.07，清华大学电机系，博士

1994.09－1996.07，清华大学电机系，硕士

1989.09－1994.07，清华大学自动化系，学士

2014.12 – 上海交通大学，电气工程系，教授，博士生导师

2012.12 – 2014.11清华大学，电机工程与应用电子技术系，教授，博士生导师

2003.12 – 2012.12清华大学，电机工程与应用电子技术系，副教授

2003.12 – 2004.11法国IDEA（Inventer la Distribution Electrique de）研究所，访问学者

1999.11 – 2003.11清华大学，电机工程与应用电子技术系，讲师

[1] Meng Yuhang, Fan Shuai, Jia Kunqi, Yang Yilong, Huang Renke, He Guangyu. Virtual Power Plants for Enabling Large-Scale Integration and Coordination of Distributed Energy Resources. IEEE Electrification Magazine, 2025, 13(1).

[2] Zhang Yi, Fan Shuai, Meng Yan, He Guangyu. Payment and incentive allocation in demand response based on cost causation principle. IEEE Transactions on Industry Applications, 2025.

[3] Li Li, Fan Shuai, Xiao Jucheng, Zhang Yi, Huang Renke, He Guangyu. Energy management strategy for community prosumers aggregated VPP participation in the ancillary services market based on P2P trading. Applied Energy, 2025, 384: 125472.

[4] Zhang Yi, Meng Yan, Fan Shuai, Xiao Jucheng, Li Li, He Guangyu. Multi-time scale customer directrix load-based demand response under renewable energy and customer uncertainties. Applied Energy, 383, 2025: 125334.

[5] Li Li, Fan Shuai, Dong Lianxin, Huang Renke, Shen Yu, He Guangyu. Multi-time scale scheduling framework for multi-energy system considering demand response: A self-approaching optimal approach, Energy, 2025, 136896.

[6] Shao Yunfei, Fan Shuai, Meng Yuhang, Jia Kunqi, He Guangyu. Personalized demand response based on sub-CDL considering energy consumption characteristics of customers. Applied Energy, 374, 2024: 123964.

[7] Li Li, Fan Shuai, Xiao Jucheng, Zhou Huan, Shen Yu, He Guangyu. Fair trading strategy in multi-energy systems considering design optimization and demand response based on consumer psychology. Energy, 306, 2024: 132393.

[8] Meng Yan, Fan Shuai, Shen Yu, Xiao Jucheng, He Guangyu, Li Zuyi. Transmission and distribution network-constrained large-scale demand response based on locational customer directrix load for accommodating renewable energy. Applied Energy, 2023, 350(15): 121681.

[9] Dong Lianxin, Wu Qing, Hong Juhua, Wang Zhihua, Fan Shuai, He Guangyu. An adaptive decentralized regulation strategy for the cluster with massive inverter air conditionings. Applied Energy, 30, 2023: 120304.

[10] Fan Shuai, Xiao Jucheng, Li Zuyi, He Guangyu. Characterization and trading of energy level and energy shift considering virtual power plant. Journal of Modern Power Systems and Clean Energy, 2022, 10(6): 1784-1789.

[11] Xiao Jucheng, He Guangyu, Fan Shuai, et al. Substitute energy price market mechanism for renewable energy power system with generalized energy storage. Applied Energy, 328, 2022: 120219.

[12] Fan Shuai, He Guangyu, Zhou Xinyang, Cui Mingjian. Online optimization for networked distributed energy resources with time-coupling constraints. IEEE Transactions on Smart Grid, 12(1), 2021: 251-267. (ESI高被引)

[13] Dong Lianxin, Fan Shuai, Wang Zhihua, Xiao Jucgheng, Zhou Huan, Li Zuyi, He Guangyu. An adaptive decentralized economic dispatch method for virtual power plant. Applied Energy, 2021, 300: 117347.

[14] Zhou Huan, Fan Shuai, Wu Qing, Dong Lianxin, Li Zuyi, He Guangyu. Stimulus-response control strategy based on autonomous decentralized system theory for exploitation of flexibility by virtual power plant. Applied Energy, 2021, 285: 116424.

[15] Xiao Jucheng, He Guangyu, Fan Shuai, Zhang Siyuan, Wu Qing, Zuyi Li. Decentralized transfer of contingency reserve: Framework and methodology. Applied Energy, 2020, 278: 115703.

[16] Xiao Jucheng, He Guangyu, Zhou Huan, Zhang Siyuan, Wang Zhihua. Decentralized transfer of contingency reserve: Concept, benefit assessment, impacting factors, and benefit mechanism. Applied Energy, 2019, 255: 113728.

[17] Fan Shuai, Liu Jiang, Wu Qing, Cui Mingjian, Zhou Huan, He Guangyu. Optimal coordination of virtual power plant with photovoltaics and electric vehicles: A temporally coupled distributed online algorithm. Applied Energy, 2020, 277: 115583.

[18] Fan Shuai, Li Zuyi, Yang Lin, He Guangyu. Customer directrix load-based large-scale demand response for integrating renewable energy sources. Electric Power Systems Research, 2020, 181: 106175.

[19] Zhai Shaopeng, Zhou Huan, Wang Zhihua, He Guangyu. Analysis of dynamic appliance flexibility considering user behavior via non-intrusive load monitoring and deep user modeling. CSEE Journal of Power and Energy Systems, 2020, 6(1): 41-51.（年度优秀）

[20] Zhai Shaopeng, Wang Zhihua, Yan Xufeng, He Guangyu. Appliance flexibility analysis considering user behavior in home energy management system using smart plugs. IEEE Transactions on Industrial Electronics, 2019, 66(2):1391-1401.

[21] Jia Kunqi, Guo Ge, Xiao Jucheng, Zhou Huan, Wang Zhihua, He Guangyu. Data compression approach for the home energy management system. Applied Energy, 2019, 247: 643-656.

[22] Li Jia, Liu Feng, Li Zuyi, Mei Shengwei, He Guangyu. Impacts and benefits of UPFC to wind power integration in unit commitment. Renewable Energy, 2018, 116:570-83.

[23] 何光宇，范帅，李祖毅，肖居承，孟琰，严正. 适应新型电力系统的电力互替品市场——（一）理念与构想. 电力系统自动化, 2024, 48(09): 54-66.

[24] 何光宇，肖居承，范帅，石智豪，严正，李祖毅. 适应新型电力系统的电力互替品市场——（二）商品形态及形成机理. 电力系统自动化, 2024, 48(19): 28-39.

[25] 何光宇，肖居承，范帅，严正，刘敦楠，李祖毅. 适应新型电力系统的电力互替品市场——（三）体系设计. 电力系统自动化, 2025, 49(01): 80-91.

[26] 肖居承，范帅，黄任可，石智豪，孟宇航，何光宇. 适应新型电力系统的电力互替品市场——（四）交易模式及经济性分析. 电力系统自动化, 2025,49(06):56-65.

[27] 石智豪，杨再敏，孙思扬，郑湘明，肖居承，范帅，何光宇.适应新型电力系统的电力互替品市场——（五）协商竞价.电力系统自动化, 2025, 1-16.

[28] 杨宜龙，范帅，蔡思烨，顾小旭，黄任可，何光宇. 内嵌调节目标的分布式能源调节能力分层分类聚合方法. 电力系统自动化, 2025: 1-18.

[29] 田济源，范帅，杨冬阳，黄任可，何光宇. 考虑负荷静态电压特性的虚拟电厂精准调控方法. 电工技术学报，2025.

[30] 邵韵霏，范帅，郏琨琪，黄艺璇，何光宇. 基于负荷准线的用户需求响应潜力评估.电力系统自动化，2024, 48(24):33-43.

[31] 董联鑫，范帅，王治华，郏琨琪，何光宇.大规模变频空调的可信聚合优化与自适应分散协调方法.电力系统自动化,2024,48(16):109-122.

[32] 范帅，何光宇，郑湘明，谭益民，谢永康，徐为勇.基于在线分布式优化的虚拟电厂自趋优运行方法研究.中国电机工程学报,2023,43(13):4935-4950.

[33] 周欢，黄婷，卢世祥，何光宇，周意诚，严正.面向减排贡献的电碳解耦分摊离散分析理论及计算方法.中国电机工程学报,2023,43(23):9033-9046.

[34] 危怡涵，范帅，许少伦, 曾斐，肖居承，何光宇. 基于新能源消纳边际贡献的用户绿电份额评估方法. 电力系统自动化，2023, 47(10):14-25.

[35] 孟琰，肖居承，洪居华，张林垚，范帅，何光宇.计及需求响应不确定性的节点负荷准线：概念与模型.电力系统自动化,2023,47(13):28-39.

[36] 潘迪涵，董联鑫，范帅，黄艺璇，杨世海，何光宇. 基于二阶ETP解析解的空调-建筑电热耦合系统参数辨识方法. 电力系统自动化, 2023,47(11):77-87.

[37] 徐博强，张沛超，何光宇，赵建立.基于主从博弈的热水器集群的负荷准线控制方法[J].中国电机工程学报,2022,42(21):7785-7797.

[38] 范帅, 危怡涵, 何光宇, 李祖毅. 面向新型电力系统的需求响应机制探讨. 电力系统自动化, 2022, 46(07), 1-12. （F5000，年度优秀论文）

[39] 吴承鑫, 沈海军, 王治华, 黄婷, 范帅, 何光宇. 数据驱动的变频空调负荷模型参数在线辨识方法. 电力系统自动化, 2022, 46(01):120-129.

[40] 周欢, 王芬, 李志勇, 刘江, 李祖毅, 何光宇. 虚拟电厂自趋优负荷跟踪控制策略. 中国电机工程学报, 2021, 41(24):8334-8349.

[41] 范帅, 郏琨琪, 王芬, 王治华, 杨林, 何光宇. 基于负荷准线的大规模需求响应. 电力系统自动化，2020, 44(15): 19-27.

[42] 肖居承, 何光宇, 张思远, 王治华, 常乃超, 卢强. 事故备用分散转移的效益评估. 电力系统自动化, 2020, 44(13):9-16.

[43] 肖居承, 何光宇, 张思远, 谢邦鹏, 赵文恺, 刘锋. 事故备用分散转移的实现方式. 电力系统自动化, 2020, 44(14):9-18.

[44] 周欢, 黄龙琼, 伍人剑, 何县宇, 原启涛, 何光宇. 基于绿色㶲经济的综合能源系统价值评价方法. 电力系统自动化, 2020, 44(02):36-42.

[45] 燕续峰, 翟少鹏, 王治华, 王芬, 何光宇. 深度神经网络在非侵入式负荷分解中的应用. 电力系统自动化, 2019, 43(01):126-132+167. （F5000）

[46] 燕续峰, 翟少鹏, 何光宇. 基于时间概率分布与电器组合超状态的非侵入式负荷分解. 电力系统自动化, 2018, 42(24):53-58+73.

[47] 郏琨琪, 王治华, 范帅, 肖居承, 何光宇. 电网信息物理系统的数据驱动架构设计及应用. 电网技术, 2018, 42(10): 3116-3127.

[48] 范帅, 郏琨琪, 郭炳庆, 蒋利民, 王治华, 何光宇. 分散式电采暖负荷协同优化运行策略. 电力系统自动化, 2017, 41(19):20-29.

[49] 郏琨琪, 何光宇. 智能用电网络数据采集与通信机制的研究. 中国电机工程学报, 2016, 36(06):1544-1551.

[50] 赵雪霖, 何光宇. 生活电器用电效用概念及其评估方法. 电力系统自动化, 2016, 40(01):53-59. （年度优秀论文）

1. 支撑低碳城市电网的主动虚拟电厂关键技术及示范应用，国家重点研发计划，2024-12至2027-12，项目负责人

2. 自趋优虚拟电厂驱动零碳能源系统的关键技术与示范，国家重点研发计划，2020-2023，项目负责人

3. 促进高比例新能源消纳的大规模需求响应机制与机理研究，国家自然科学基金，2019-2022，项目负责人

主持国家电网公司、南方电网公司科技项目几十项

1. 海南省科学技术进步奖，一等奖

2. 上海市科学技术进步奖，二等奖

3. 中国产学研合作创新奖

4. 《电力系统自动化》年度优秀论文二等奖

5. 领跑者5000-中国精品科技期刊顶尖学术论文

6. The 8th Purple Mountain Forum, Best Paper Award

1. 《电力系统自动化》编委

2. 《电力建设》编委

3. IET Fellow

4. IEEE/CSEE Senior Member

5. 工信部工业需求侧响应委员会专家

6. 海南电网专家委员会委员

7. 贵州省电力大数据重点实验室学术委员会委员