副教授/四川大学引进人才
每年招收能源动力/电气工程方向硕士研究生2-3名！
专业：电气工程/电力系统及其自动化
方向：电力系统运行控制（微电网、配电网、虚拟电厂等）
邮箱：tangzhiyuan@scu.edu.cn
地址：基础教学楼B109
邮政编码：610065
谷歌学术：https://scholar.google.com/citations?user=fLW2AeEAAAAJ&hl=en
工作经历
2025/10-今，四川大学，电气工程学院，副教授
2021/05-2025/09，四川大学，电气工程学院，特聘副研究员
2019/07-2021/03，滑铁卢大学，电气与计算机工程系，博士后，导师：Dr. John W. Simpson-Porco
2018/08-2019/07，香港大学，电气与电子工程系，博士后，导师：Prof. David J. Hill
学习经历
2014/09-2018/08，香港大学，电气与电子工程系，博士，导师：Prof. David J. Hill
2010/09-2014/08，西安交通大学，电气工程学院，本科
主要科研项目
1）纵向项目
1. 智能电网国家科技重大专项项目《数字赋能城市可持续发展的区域多能源系统协同规划技术》，2026/04-2030/03，任务负责人
2. 四川省科技厅揭榜挂帅重大项目《工业园区微电网分布式能量管理与协同控制技术研究》，2025/04-2028/03，项目负责人
3. 国家自然科学青年基金项目《基于模型自适应辨识的可变结构交流微网群协同趋优控制研究》，2023/01-2025/12，项目负责人
4. 四川省科技厅重点研发项目《考虑高载能企业柔性排程的工业园区智能配用电管控技术研究》，2023/01-2023/12，项目负责人
2）横向项目
1. 国网宁夏电力有限公司电力科学研究院科技项目《考虑光储充一体化电站参与的配电网协同运行控制策略研究》，2025/10-2026/12，项目负责人
2. 国电南瑞南京控制系统有限公司科技项目《虚拟电厂运营管理平台仿真检查子系统建设--设计开发项目-可调能力与策略优化功能完善》，2024/10-2025/12，项目负责人
3. 国电南瑞南京控制系统有限公司科技项目《面相温控负荷聚合商的虚拟电厂参与电力市场最优竞价与协调运行技术研究》，2024/10-2025/12，项目负责人
4. 国网四川省电力公司科技项目《面向配电台区的光储充一体化边缘运行控制和优化配置方法研究》，2024/6-2025/12，项目负责人
5. 国网四川综合能源服务有限公司《台区分布式储能优化配置和控制算法和管控平台研究》，2023/10-2024/12，项目负责人
6. 国网四川省电力公司科技项目《台区电化学储能低电压管控及配置规范研究》，2023/6-2024/6，项目负责人
7. 国家电网总部科技项目《数据与机理驱动的分布式源荷集成智能感知预测与推演技术研究》，2021/10-2023/10，项目负责人
代表性论文
1）英文期刊
[1]W. Xiong, Z Tang*, H. Gao, Y. Liu, A. Qiao, and J. Liu, “Distributed Data-Driven Frequency Control in Networked Microgrids via Voltage Regulation,” IEEE Transactions on Industrial Informatics, early access, 2026.
[2]Y. Gao, E. Ekomwenrenren,Z Tang*, H. Gao, Y. Liu, and J. Liu, “Data-driven local voltage control design for active distribution networks considering various operation conditions,” Electric Power Systems Research, vol. 248, pp. 111902, 2025.
[3]D. Li, Z Tang*, H. Gao, S. He, Y. Liu, F. Su, and J. Liu, “Distributed optimal frequency control in networked microgrids using distributed energy resources,” Electric Power Systems Research, vol. 246, pp. 111697, 2025.
[4]Z. Xu, Z Tang*, Y. Chen, Y. Liu, H. Gao, and X. Xu, “Optimal robust allocation of distributed modular energy storage system in distribution networks for voltage regulation,” Applied Energy, vol. 388, pp. 125625, 2025.
[5]H. Gao, J. Xu, Z Tang*, Z. Dong, R. Wang, J. Liu, “Cost-effective Volt-VAR Control via Transactive Energy: A Data-driven Approach,” IEEE Transactions on Power Systems, vol. 40, no. 3, pp. 2492-2505, 2025.
[6]Z. Tang, Y. Liu, T. Liu, G. Qiu, and J. Liu, “Distributed Data-Driven Frequency Control in Networked Microgrids via Voltage Regulation,” IEEE Transactions on Smart Grid, vol. 39, no. 1, pp. 0885-8950, 2024.
[7]W. Xiong, Z Tang*, and X. Cui, “Distributed data-driven voltage control for active distribution networks with changing grid topologies,” Control Engineering Practice, vol. 147, pp. 105933, 2024.
[8]W. Yu, Z Tang*, and W. Xiong, “Distributed robust data-enabled predictive control based voltage control for networked microgrid system,” Electric Power Systems Research, vol. 231, pp. 110360, 2024.
[9]L. Chen, Z Tang*, S. He, J. Liu, “Feasible operation region estimation of virtual power plant considering heterogeneity and uncertainty of distributed energy resources,” Applied Energy, vol. 362, pp. 12300, 2024.
[10]H. Gao, W. Wang, S. He, Z. Tang*, and J. Liu, “Low-carbon Economic Scheduling for AIES Considering Flexible Load Coordination and Multiple Uncertainties,” Renewable Energy, vol. 38, pp. 120643, 2024.
[11]H. Gao, Q. Chen, S. He, Z. Tang*, H. Li, and J. Liu, “Electricity-carbon coupling retail package optimization considering low-carbon benefits of distributed renewable energy,” Journal of Cleaner Production, vol. 449, pp. 141598, 2024.
[12]J. Chen, Z. Tang*, Y. Huang, A. Qiao, and J. Liu, “Asymmetric Nash bargaining-based cooperative energy trading of multi-park integrated energy system under carbon trading mechanism,” Electric Power Systems Research, vol. 228, pp. 110033, 2024.
[13]Z. Wei, J. Liu, Z. Tang*, Y. Liu, S. Jawad, J. Liu, Z. Yang, and T. Pu, “A Comprehensive Competitiveness Decision Method for Electricity Retailers Considering the Integration of Device Operation, Investment Planning, and Marketing Strategy,” IEEE Systems Journal, vol. 18, no. 1, pp. 244–255, 2024.
[14]Z. Tang, Y. Liu, T. Liu, X. Xu, and J. Liu, “Adaptive Weighted Ridge Regression Estimator for Time-varying Sensitivity Identification,” IEEE Transactions on Power Systems, vol. 231, pp. 110360, 2024.
[15]Z. Tang, E. Ekomwenrenren, J. W. Simpson-Porco, E. Farantatos, M. Patel, A. Haddadi, and H. Hooshyar, “Data-driven extension of “measurement-based fast coordinated voltage control for transmission grids”,” IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 2377–2380, 2023.
[16]Z. Tang, E. Ekomwenrenren, J. W. Simpson-Porco, E. Farantatos, M. Patel, and H. Hooshyar, “Measurement-based fast coordinated voltage control for transmission grids,” IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 3416–3429, 2021.
[17] E. Ekomwenrenren, Z. Tang, J. W. Simpson-Porco, E. Farantatos, M. Patel, and H. Hooshyar, “Hierarchical coordinated fast frequency control using inverter-based resources,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 4992–5005, 2021.
[18] L. Yang, T. Liu, Z. Tang, and D. J. Hill, “Distributed optimal generation and load-side control for frequency regulation in power systems,” IEEE Transactions on Automatic Control, vol. 66 no. 6, pp. 2724–2731, 2021.
[19]Z. Tang, D. J. Hill, and T. Liu, “Distributed control of active distribution networks to support voltage control in subtransmission networks,” International Journal of Electrical Power & Energy Systems, vol. 123, 2020.
[20]Z. Tang, D. J. Hill, T. Liu, and Y. Song, “Distributed inter-area oscillation damping control for power systems by using wind generators and load aggregators,” International Journal of Electrical Power & Energy Systems, vol. 123, 2020.
[21]Z. Tang, D. J. Hill, and T. Liu, “Distributed coordinated reactive power control for voltage regulation in distribution networks,” IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 312–323, 2020.
[22]Z. Tang, D. J. Hill, and T. Liu, “Fast distributed reactive power control for voltage regulation in distribution networks,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 802–805, Jan. 2019.
[23] K. Liu, T. Liu, Z. Tang, and D. J. Hill, “Distributed MPC-based frequency control in networked microgrids with voltage constraints,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6343–6354, 2019.
[24]Z. Tang, D. J. Hill, and T. Liu, “A novel consensus-based economic dispatch for microgrids,” IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 3920–3922, 2018.
[25]Z. Tang, D. J. Hill, T. Liu, and H. Ma, “Hierarchical voltage control of weak subtransmission networks with high penetration of wind power,” IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 187–197, 2018.
[26]Z. Tang, D. J. Hill, and T. Liu, “Two-stage voltage control of subtransmission networks with high penetration of wind power,” Control Engineering Practice, vol. 62, 2017.
2）中文期刊
[1]刘继春,刘可欣,柯贤波,唐志远*,等.新型电力系统下储能参与电能量-惯量-一次调频多市场交易方法[J].电网技术,2025,49(03):1018-1031.
[2]庞凯,唐志远*,高红均,等.基于优化神经网络的微电网稳定性提升策略[J].电力建设,2025,46(08):67-77.
[3]祝泳琪,刘友波,唐志远*,等.基于数据驱动预测控制的有源配电网电压控制策略[J].电力系统自动化,2024,48(20):100-108.
[4]宁静波，黄媛，唐志远*,王镜峣，吴国梁.基于系统模型在线估计的微网频率预测控制[J].电力建设, 2024.
[5]唐義坤,唐志远*,罗同桐,等.基于XGBoost与多源域迁移学习的贫资料地区负荷预测方法[J].现代电力,现代电力, 2024.
[6]罗同桐,唐志远*,唐義坤,刘俊勇.基于优化TCN与迁移学习的短期负荷预测[J].现代电力, 2024.
[7]潘思蓉,刘友波,唐志远*,张曦,祁浩南,刘俊勇.含深度学习代理模型的有源配电网电压无功控制进化算法[J].电力系统保护与控制, 2022, 50(17): 97-106.
学术兼职
IEEE会员,担任IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Sustainable Energy, International Journal of Electrical Power & Energy System, Journal of Modern Power Systems and Clean Energy, CSEE Journal of Power and Energy Systems等期刊审稿人。核心期刊《中国电力》、《电测与仪表》青年编委。
本人深耕配电网分布式资源集群控制方向，团队与国网、南网等电力公司保持紧密合作，项目资源丰富、经费充足，为学生提供扎实的科研平台和极具竞争力的就业前景；我本人乐观积极、耐心认真，秉持劳逸结合的理念，倡导自由融洽的学术氛围，充分尊重学生的劳动成果，致力于让每位同学在适中的工作强度下收获扎实的成长。同时，我与国外多所高校保持长期合作，可为学生提供出国深造与学术交流的宝贵机会。欢迎各位同学加入智能电网优化运行与电力市场运营研究团队，一起做有意义的研究，过有温度的生活！
