唐早

唐早，女，博士。主持包含国家自然科学基金1项，浙江省自然科学基金2项，主研包含国家重点研发计划、国家自然科学基金、国家电网公司科技项目在内的纵横向科技项目10余项，入选2021年四川省优秀博士毕业生。担任IEEE Transactions on Smart Grid、International Journal of Electrical Power & Energy Systems、《电机工程学报》等国内外期刊审稿人。已以第一作者/通信作者在电力系统优化规划与运行领域发表SCI/EI论文20余篇，主要研究方向为储能在电力系统中的优化运行与控制。

《发电厂电气部分》、《电力系统继电保护》、《电气工程基础》

1. 新型配电系统微电网集群时空动态聚合理论及分布式协同优化策略研究，浙江省自然科学基金，主持，2025-2026

2. 调频信号动态辨识驱动的风储在线双重调频控制方法研究，国家自然科学基金，主持，2023-2025

3. “新能源+储能”融合场站参与区域电力市场的自趋优运行关键技术研究，浙江省自然科学基金，主持，2022-2024

教师一作论文：

1. Zao Tang, Jia Liu, et al. Approximate Optimal Energy Management of Thermal-HESS System for MIMO Fuzzy Logic Controller Based AGC. IEEE Transactions on Sustainable Energy, 2025.

2. Zao Tang, Jielong Ni, et. al. Power Prediction of Wind Farm Considering the Wake Effect and its Boundary Layer Compensation, Protection and Control of Modern Power Systems, 2024.

3. 唐早,刘佳,刘一奎,等.基于随机模型预测控制的火电-储能两阶段协同调频控制模型[J].电力系统自动化,2023,47(3):86-95. (EI).

4. Zao Tang; Jia Liu; Pingliang Zeng; A multi-timescale operation model for hybrid energy storage system in electricity markets., International Journal of Electrical Power & Energy Systems, 2022, 138: 107907 (SCI)

5. Zao Tang, Jia Liu, Pingliang Zeng. Heterogeneous energy storage system scheduling strategy for low carbon airport oriented microgrid. Energy reports, 2022, 8: 307-314. (SCI).

6. Zao Tang; Junyong Liu; Youbo Liu; Lixiong Xu; Stochastic reserve scheduling of energy storage system in energy and reserve markets, International Journal of Electrical Power & Energy Systems, 2020, 123: 0-106279 (SCI)

7. Zao Tang; Yikui Liu; Lei Wu; Junyong Liu; Hongjun Gao; Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution, IEEE Transactions on Smart Grid, 2021, 12(1): 372-382 (SCI)

8. Zao Tang, Junyong Liu, Youbo Liu, et al. Risk awareness enabled sizing approach for hybrid energy storage system in distribution network[J]. Generation, Transmission & Distribution, IET, 2019, 13(17):3814-3822. (SCI).

9. 唐早,刘俊勇,刘友波,等.空调聚合商参与下的负荷控制与配电网重构[J].电力系统自动化,2018,42(2):42-49. (EI).

10. Zao Tang; Youbo Liu; Junyong Liu; Ran Li; Lili Wen; Guofeng Zhang ; Multi-stage sizing approach for development of utility-scale BESS considering dynamic growth of distributed photovoltaic connection, Journal of Modern Power Systems and Clean Energy, 2016, 4(4): 554- 565 (SCI)

11. Z. Tang, W. Jia, J. Liu, Y. Tang and P. Zeng, A Robust Model Predictive Control Based Frequency Regulation Approach for Wind-Storage Joint System, 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Chongqing, China, 2023, pp. 2399-2405.

    
    

学生一作论文：

1. Mohan Lin, Jia Liu, Zao Tang, et al. Coordinated DSO-VPP operation framework with energy and reserve integrated from shared energy storage, Applied Energy,2025.

2. 林墨涵,刘佳,唐早,等.考虑多能耦合共享储能的微网多智能体混合博弈协调优化[J].电力系统自动化,2024,48(04):132-141.

3. 颜宇飞,唐早,刘友波,等.双重不确定性下考虑风险偏好的风储系统日前报量策略[J].电网技术,2023,47(03):1078-1088.

4. Jielong Ni, Zao Tang, Jia Liu, et al. A topology identification method based on one-dimensional convolutional neural network for distribution network. Energy reports, 2022, 9: 355-362. (SCI).

5. 贾文杰,唐早,曾平良,等.基于鲁棒模型预测控制的风火储联合系统调频优化策略[J].电测与仪表,2023,60(12):27-35.

同行合作论文：

1. 刘佳,唐早,曾平良,李亚楼,吴秋伟.高比例可再生能源接入下与配电系统分层协同的输电系统自适应规划[J].电网技术,2022,46(08):3105-3115.

2. Yikui Liu; Zao Tang; Lei Wu; On Secured Spinning Reserve Deployment of Energy-Limited Resources Against Contingencies, IEEE Transactions on Power Systems, 2022, 37(1): 518-529 (SCI)

3. Huiming Zhuang, Zao Tang, Jianglin Zhang. Two-Stage Energy Management for Energy Storage System by Using Stochastic Model Predictive Control Approach [J]. Frontiers in Energy Research. (SCI).

4. Jia Liu, Zao Tang, Mojiang Yu, et al. Robust expansion planning model of integrated energy system with energy hubs integrated[J]. Electric Power Systems Research, 2024, 226: 109947.

5. Liu J, Tang Z, Zeng P P, et al. Fully distributed second-order cone programming model for expansion in transmission and distribution networks[J]. IEEE Systems Journal, 2022. (SCI)

6. Liu J, Tang Z, Zeng P P, et al. Distributed adaptive expansion approach for transmission and distribution networks incorporating source-contingency-load uncertainties[J]. International Journal of Electrical Power & Energy Systems, 2022, 136: 107711. (SCI)

7. Jia Liu, Biao Jiang, Zao Tang, Pingliang Zeng, Tong Su, Yalou Li, Qiuwei Wu. Coordinated planning of interconnected multi-regional power systems considering large-scale energy storage system, transmission expansion, and carbon emission quota trading[J]. CSEE Journal of Power and Energy Systems, 2023, Accepted.

8. J. Liu, M. Yu, Z. Tang, Y. Tang and P. Zeng, A Stochastic Optimal Planning Methodology for User-Side Energy System with Multiple Energy Forms, 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Chongqing, China, 2023, pp. 2386-2391

1. 面向灵活性的新型配电网源网荷协调随机优化运行方法

2. 一种模糊逻辑控制驱动下的风电功率波动平抑方法