张聪

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。主要从事电力应急技术、配电网数字化管控、储能规划调度与运行控制、电力系统不确定性分析等方向的研究。

近五年发表SCI/EI收录论文40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3项,湖南省电力公司、广东电力设计院等横向课题3项。曾获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-mailzcong@hnu.edu.cn

 

二、学习研究经历

20221月—至今,湖南大学,电气与信息工程学院,副教授

20187—202112月,湖南大学,电气与信息工程学院,助理教授(岳麓学者)

20139—20187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

20099—20137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.    新型电力系统电力应急技术

         2.    电力系统不确定性分析

         3.    可再生能源接入电网的储能规划与经济调度

         4.    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,2021.012023.12,主持

2.    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,2020.012022.12,主持

3.    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,2023.062025.09,主持

4.    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,2023.072025.08,主研

5.    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,2019.012020.12,主持

6.    湖南省电力公司项目:配电网故障诊断和主动预警技术研究与应用,2020.082021.12,主持

五、论文

[1]   Cong Zhang, Qian Liu, Bin Zhou, Jiayong Li, Lipeng Zhu, Zhikang Shuai, 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, 2023, 14(1): 563-575. (SCI, IF=6.235)

[2]   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, 2023, accepted. (SCI, IF=11)

[3]    Wei Zhang, Cong Zhang* Jiayong Li, et al. Resilience-Oriented Comparative Study of SOP-based Service Restoration in Distribution Systems, Electric Power Systems Research, 2023, accepted. (SCI, IF=3.9)

[4]    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)

[5]    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)

[6]    Cong Zhang, Qian Liu, Sheng Huang, Bin Zhou, Long Cheng, Lin Gao, Jiayong Li, Reactive Power Optimization under Interval Uncertainty of Renewable Power Generation Based on a Security Limits Method, International Journal of Electrical Power & Energy Systems, accepted at Feb. 04, 2021. (SCI, IF=3.610)

[7]   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)

[8]    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)

[9]   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)

[10]   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)

[11]   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)

[12]   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)

[13]   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)

[14]   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)

[15]   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)

[16]   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.

[17]   黄頔, 杨鑫, 高林,张聪*. 考虑风电和储能接入电网的多目标协同博弈区间经济调度[J]. 控制理论与应用, 2021, 38(7):10.

[18]   高林,成龙,张聪*.考虑SVC和储能接入电网的多目标协同经济调度[J].湖南电力,2021,41(2):1-8+14.

 

六、专利

1.    基于线性规划的直角坐标形式的区间潮流计算方法, 2017100599670.

2.    基于遗传算法的区间无功优化方法, 201710290431X

3.    区间无功优化模型的线性化求解方法, 2017102904324

4.    基于功效系数线性加权法的多目标无功优化方法, 2014105717063

5.    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。