唐志远-k8凯发官网
当前位置: k8凯发官网-k8凯发官网入口    >    师资队伍    >    教师风采    >    副教授(级)    >    正文

唐志远-k8凯发官网

日期:2021年05月31日     作者:     来源:      点击:[]

特聘副研究员/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

2021/05-今,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,高级研究助理,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. 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

2. 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

3. 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

4. 四川电网科技项目《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

5. 四川电网科技项目《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

6. wide-area hierarchical frequency and voltage control for next generation transmission grid (sponsored by electric power research institute, pi: dr. john w. simpson-porco), 2019/07-2022/08,任务负责人

7. sustainable power delivery structures for high renewables (sponsored by rgc theme-based research scheme,pi: prof. david j. hill), 2014/09-2019/07,任务负责人

代表性论文

[1]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, early access, 2024.

[2]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.

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12] 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.

[13] 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.

[14]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.

[15]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.

[16]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.

[17]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.

[18] 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.

[19]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.

[20]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.

[21]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.

[22]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.

[23]唐義坤,唐志远*,罗同桐,谯傲,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].现代电力, 2024.

[24]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.

[25]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 access, 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》青年编委,国际sci期刊《frontiers on energy research》审稿编辑。


本人长期从事电力系统运行控制研究,长期探索控制理论、优化理论及其在电力系统的应用!本人乐观积极,耐心认真,热爱生活,秉承劳逸结合,喜欢自由融洽的学术氛围(积极欢迎各位同学讨论问题)!本人与国外高校保持长期合作,可提供出国深造和学术交流的机会!最后,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!

电话:028-85405614
传真:028-85405614   邮编:610065
地址:四川大学望江校区基础教学大楼 a座二楼
k8凯发官网入口 copyright©四川大学电气工程学院
2017-2020 all right reserved
蜀icp备05006382号
网站地图