副高级

 姓名：李泽蓬
 性别：男
 职称：副教授
 学位：博士
 电子邮件： zepeng-li@foxmail.com
 研究方向：电力交通综合系统协同优化，人工智能驱动的综合能源系统优化，配电网韧性提升

个人简介

李泽蓬，福建省引进生，福州大学电气工程与自动化学院副教授，博士毕业于清华大学电气工程专业。近年来发表SCI/EI论文20余篇（一作/通讯10余篇），成果发表于《Cell Reports Sustainability》（Cell子刊）、《IEEE Transactions on Smart Grid》、《Applied Energy》等高水平期刊，累计引用430余次。担任《IEEE Transactions on Smart Grid》、《IEEE Transactions on Power Systems》、《Applied Energy》、《Reliability Engineering & System Safety》等国际期刊审稿人。曾获国家奖学金、清华大学综合优秀奖学金等荣誉。

教育工作经历

2026.08-至今 福州大学，电气工程与自动化学院，副教授

2022.09-2026.06 清华大学，电气工程专业，博士（导师：吴秋伟、张璇教授）

2024.10-2025.06 美国加州大学伯克利分校，访问学者

2019.09-2022.06 华南理工大学，电气工程专业，硕士（导师：唐文虎教授）

2015.09-2019.06 福州大学，电气工程及其自动化专业，学士

招生计划（平等交流，自由探索，共同成长）

招收电力系统及其自动化学硕、电气工程/能源动力专硕。欢迎电气、自动化、能源动力、计算机等相关专业的同学们联系报考研究生。与清华大学、香港理工大学、天津大学等知名高校密切合作，为学生提供科研、升学与就业等方面的指导，优秀学生可推荐至合作高校继续攻读博士学位。

科研项目

[1] 国家自然科学基金面上项目，2020.01-2023.12，参与

[2] 国家重点实验室开发课题，2019.01-2020.12，主研

[3] 深圳市自然科学基金面上项目，2023.01-2025.12，主研

[4] 南方电网科技项目，2023.11-2024.12，主研

代表性论文

[1]Z. Li, Q. Wu, H. Li, et al. Distributed risk-averse optimal dispatch for integrated power and transportation system considering carbon trading. IEEE Transactions on Smart Grid, 2024, 15(6): 5583–5594. （中科院一区，JCR Q1，IF：10.1）

[2]Z. Li, Q. Wu, H. Li, et al. Distributed low-carbon economic dispatch of integrated power and transportation system. Applied Energy, 2024, 353: 122134. （中科院一区，JCR Q1，IF：12.2）

[3]Z. Li, Q. Wu, H. Li, et al. Frequency-constrained dispatch for integrated power and transportation system considering frequency response from EV charging stations. International Journal of Electrical Power & Energy Systems, 2026, 175: 111593. （中科院二区，JCR Q1，IF：5.3）

[4]Z. Li, W. Tang, X. Lian, et al. A resilience-oriented two-stage recovery method for power distribution system considering transportation network. International Journal of Electrical Power & Energy Systems, 2022, 135: 107497. （中科院二区，JCR Q1，IF：5.3）

[5]Q. Wu¹, Z. Li^1,*, et al. Accelerating carbon neutral power systems through innovation-driven cost reduction and regional collaboration. Cell Reports Sustainability, 2024, 1(8): 100176. （Cell子刊，共同第一作者、通讯作者，JCR Q1，IF：7.5）

[6]W. Tang (Advisor), Z. Li, Z. Yu, et al. Cost-optimal operation and recovery method for power distribution systems considering multiple flexible resources and logistics restrictions. Sustainable Energy Technologies and Assessments, 2022, 49: 101761. （中科院二区，JCR Q2，IF：7.4）

[7]Z. Li, Q. Wu, H. Lin, et al. Neural network-embedded low-carbon dispatch model for integrated power and transportation system. 2025 IEEE Power & Energy Society General Meeting (PESGM), 2025: 1–5.

[8]Z. Li, K. Huang, T. Qian, et al. Resilience-oriented comprehensive planning strategy of distributed generator in power distribution system. 2021 International Conference on New Energy Research and Applications (ICNERA), 2021, 838(1): 012008.

[9]Z. Li, Y. Yang, W. Tang. An optimal maintenance strategy for power transmission systems under extreme events. 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE), 2020.

[10]J. Hao, W. Zhao, Z. Zhang, Z. Li^*. Coordinated frequency regulation strategy for multiple demand-side resources considering carbon emissions. 2024 6th Asia Energy and Electrical Engineering Symposium (AEEES), 2024: 162–167. （通讯作者）

[11]Z. Yu, G. Zou, L. Wu, J. Zhang, Z. Li^*. Optimal resilience enhancement strategy for power distribution system with line reinforcement and emergency generator placement. 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2021: 1400–1405. （通讯作者）

[12]X. Lian, C. Song, Z. Li, et al. Resilience-oriented emergency resource dispatch for power–transportation coupled networks under rainstorm-induced flood hazards. Applied Energy, 2026, 403: 127004. （中科院一区，JCR Q1，IF：12.2）

[13]Y. Wang, Q. Wu, Z. Li, et al. Federated multi-agent deep reinforcement learning-based competitive pricing strategy for charging station operators. IEEE Transactions on Energy Markets, Policy and Regulation, 2025, 3(3): 363–375. （JCR Q2，IF：3.7）

[14]X. Lian, T. Qian, Z. Li, et al. Network embedding algorithm for vulnerability assessment of power transmission lines using integrated structure and attribute information. CSEE Journal of Power and Energy Systems, 2024, 10(1): 351–360. （中科院二区，JCR Q1，IF：5.6）

[15]X. Lian, T. Qian, Z. Li, et al. Resilience assessment for power system based on cascading failure graph under disturbances caused by extreme weather events. International Journal of Electrical Power & Energy Systems, 2023, 145: 108616. （中科院二区，JCR Q1，IF：5.3）

学术服务

担任《IEEE Transactions on Smart Grid》、《IEEE Transactions on Power Systems》、《Applied Energy》、《Reliability Engineering & System Safety》等国际期刊审稿人