一、基本情况
张聪，男，博士，湖南省衡阳市祁东县人。
湖南大学电气与信息工程学院副教授，博士生导师，湖湘青年英才、长沙市杰出青年人才、湖南大学岳麓学者、青年教师托举计划获得者。IEEE Member，担任IEEE Trans. Power Syst./ Smart Grid/Sust. Energy等国际电力领域权威期刊审稿专家。为帅智康院长领衔的“电力应急技术湖南省工程研究中心”青年骨干。主要从事新型电力系统防灾应急、电力系统不确定性分析、 安全裕度评估与优化、配电网数字化管控、储能规划调度与运行控制等方向的研究。
近五年发表SCI/EI收录论文50余篇，授权专利13项，出版科学出版社专著1部，获国家教育部科技进步二等奖1项。主持国家自然科学基金、湖南省自然科学基金等纵向课题4项，深圳电科院、湖南省电力公司、广东电力设计院等横向课题4项。曾获2022年度湖南大学教学优秀奖，华南理工大学优秀博士学位创新基金一等奖，2017-2018年度广东省优秀学生。
E-mail：zcong@hnu.edu.cn
二、学习研究经历
2022年1月—至今，湖南大学，电气与信息工程学院，副教授
2018年7月—2021年12月，湖南大学，电气与信息工程学院，助理教授（岳麓学者）
2013年9月—2018年7月，华南理工大学，电力学院，电力系统及其自动化专业，工学博士
2009年9月—2013年7月，华南理工大学，理学院，数学与应用数学专业（专业第一），理学学士
三、主要研究方向
1. 新型电力系统/综合能源系统防灾应急技术
2. 电力系统不确定性分析
3. 电力系统安全裕度评估与优化
4. 适应极端天气场景的储能规划与经济调度
5. 高比例分布式资源接入的配电网数字化管控
四、近年主持的科研课题与业绩
1. 国家自然科学基金面上项目：台风暴雨复合灾害下计及高维不确定性的电力系统安全裕度评估与优化，2025.01～2028.12，主持
2. 国家自然科学青年基金项目：基于区间优化理论的新能源电力系统无功电压控制，2021.01～2023.12，主持
3. 湖南省自然科学青年基金项目：基于区间优化理论的不确定性环境下的电网电压控制策略研究，2020.01～2022.12，主持
4. 深圳供电局项目：基于信息物理融合的配电台区数字化管控技术，2023.06～2025.09，主持
5. 广西电网电科院：县域级新型配电系统灾变推演和风险防控软件模块研发，2023.07～2025.08，主研
6. 广东省电力设计研究院项目：分散式风电等可再生能源与储能经济调度软件开发，2019.01～2020.12，主持
7. 国网湖南电科院项目：配电网故障诊断和主动预警技术研究与应用，2020.08～2021.12，主持
8. 长沙供电公司项目：基于储备机制、执行管控与综合评价的项目投资管理策略研究，2022.08～2022.12，主持
五、论文
[1] Dapeng Wang, Cong Zhang*, Jiayong Li, et al. A Novel Interval Power Flow Method Based on Hybrid Box-Ellipsoid Uncertain Sets. IEEE Transactions on Power Systems, vol. 39, no. 4, pp. 6111 – 6114, Jul. 2024. (SCI, IF=5.255)
[2] Wei Zhang, Cong Zhang*, Quan Zhou, et al. Spatial-Temporal Resilience Assessment of Distribution Systems Under Typhoon Coupled with Rainstorm Events. IEEE Transactions on Industrial Informatics, 2024, DOI: 10.1109/TII.2024.3450079. (SCI, IF=11.7)
[3] Cong Zhang, Qian Liu, et al., A central limit theorem-based method for DC and AC power flow analysis under interval uncertainty of renewable power generation. IEEE Transactions on Sustainable Energy, vol. 14, no. 1, pp. 563-575, 2023. (SCI, IF=6.235)
[4] Wei Zhang, Cong Zhang*, Jiayong Li, et al. Multi-resource collaborative service restoration of distribution network with decentralised hierarchical droop control, Protection and Control of Modern Power Systems, vol. 9, no. 1, pp. 19-37, 2024. (SCI, IF=11)
[5] Lipeng Zhu, Weijia Wen, Jiayong Li, Cong Zhang*, et al. Structure-Aware Recurrent Learning Machine for Short-Term Voltage Trajectory Sensitivity Prediction, IEEE Internet of Things Journal, vol.11, no.9, pp. 15128 - 15139, May 2024. (SCI, IF=10.6)
[6] Wei Zhang, Cong Zhang*, Rapid Resilience Enhancement Method for SOP-based Distribution Systems Considering Co-deployment of Heterogeneous Resources, CSEE Journal of Power and Energy Systems, in press, 2024.
[7] Wei Zhang, Cong Zhang*, Jiayong Li, et al. Resilience-Oriented Comparative Study of SOP-based Service Restoration in Distribution Systems, Electric Power Systems Research, vol. 228, pp. 110050, Mar. 2024. (SCI, IF=3.9)
[8] Honglei Jia, Cong Zhang*, et al. A Data-Driven Approach for Reactive Power Optimization Incorporating Interval Values for Renewable Power Generation, International Transactions on Electrical Energy Systems, 2023, accepted. (SCI, IF=2.3)
[9] Dapeng Wang, Cong Zhang*, et al. A Novel Interval Programming Method and Its Application in Power System Optimization Considering Uncertainties in Load Demands and Renewable Power Generation. Energies, 15(20), 7565, 2022. (SCI, IF=3.2)
[10] Cong Zhang, Qian Liu, et al., Reactive Power Optimization under Interval Uncertainty of Renewable Power Generation Based on a Security Limits Method, International Journal of Electrical Power & Energy Systems, 2021, 130: 106894. (SCI, IF=3.610)
[11] Cong Zhang, Haoyong Chen, Dong Hua, Canbing Li, Bin Zhou, Zipeng Liang, A Novel Interval Voltage Control Method Considering Interval Power Data and Discrete Control Variables, International Journal of Electrical Power & Energy Systems, vol. 107, pp. 58-67, May 2019. (SCI, IF=3.610)
[12] Cong Zhang, Haoyong Chen, Ke Shi, et al., A Multi-Time Reactive Power Optimization under Interval Uncertainty of Renewable Power Generation by an Interval Sequential Quadratic Programming Method, IEEE Transactions on Sustainable Energy, vol. 10, no. 3, pp 1086 - 1097, Jul. 2019. (SCI, IF=6.235)
[13] Cong Zhang, Haoyong Chen, Zipeng Liang, et al., Reactive Power Optimization under Interval Uncertainty by the Linear Approximation Method and its Modified Method, IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 4587–4600, Sept. 2018. (SCI, IF=7.364)
[14] Cong Zhang, Haoyong Chen, Ke Shi, et al., An Interval Power Flow Analysis through Optimizing-Scenarios Method, IEEE Transactions on Smart Grid, vol. 9, no. 5, pp 5217–5226, Sept. 2018. (SCI, IF=7.364)
[15] Cong Zhang, Haoyong Chen, Manlan Guo, et al., DC power flow analysis incorporating interval input data and network parameters through the optimizing-scenarios method, International Journal of Electrical Power & Energy Systems, vol. 96, pp. 380–389, Mar. 2018. (SCI, IF=3.610)
[16] Cong Zhang, Haoyong Chen, Zipeng Liang, et al., Interval voltage control method for transmission systems considering interval uncertainties of renewable power generation and load demand, IET Generation Transmission & Distribution, accepted at Jul. 26, 2018. (SCI, IF=2.618)
[17] Cong Zhang, Haoyong Chen, Honwing Ngan, et al., A Mixed Interval Power Flow Analysis Under Rectangular and Polar Coordinate System, IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 1422–1429, Mar. 2017. (SCI, IF=5.255)
[18] Cong Zhang, Haoyong Chen, Honwing Ngan, et al., Solution of Reactive Power Optimization Including Interval Uncertainty Using Genetic Algorithm, IET Generation Transmission & Distribution, vol. 11, no. 15, pp. 3657–3664, Oct. 2017. (SCI, IF=2.618)
[19] Cong Zhang, Haoyong Chen, Honwing Ngan, Reactive Power Optimisation Considering Wind Farms Based on an Optimal Scenario Method, IET Generation Transmission & Distribution, vol. 10, no. 15, pp. 3736–3744, Nov. 2016. (SCI, IF=2.618)
[20] 贾婉清, 张聪*, 刘乾, 王大鹏, 杨怀智, 李佳勇. 基于安全限定义的新能源电力系统区间经济调度模型及算法[J/OL].电网技术, 2023.
六、专利
1. 一种基于安全限定义法的新能源电力系统区间经济调度方法, CN202211716737.4
2. 基于Distflow和优化场景法的新型配电网区间潮流计算方法, 202310649321.3
3. 基于线性规划的直角坐标形式的区间潮流计算方法, 2017100599670
4. 基于遗传算法的区间无功优化方法, 201710290431X
5. 区间无功优化模型的线性化求解方法, 2017102904324
6. 基于功效系数线性加权法的多目标无功优化方法, 2014105717063
7. 求解Pareto最优解集的多目标无功优化方法, 2014105726166
七、研究生招生
欢迎电气工程、应用数学、自动控制及相关专业的优秀本科生或研究生报考与交流。
