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日期:2020年11月30日     作者:     来源:      点击:[]


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郑宗生

副研究员/硕士生导师

业:电气工程

研究方向:电力系统稳定与控制

电子邮箱:zongshengzheng@scu.edu.cn

址:四川大学望江校区基础教学楼b114

 

教育经历:

2016.09-2020.10 西南交通大学电气工程学院,电气工程,博士,导师:刘志刚教授

2018.12-2019.12 美国弗吉尼亚理工暨州立大学电气与计算机工程系,联合培养,导师:lamine mili教授

2013.09-2016.09 西南交通大学电气工程学院,电气工程,硕士(硕博连读)

2009.09-2013.06 西南交通大学生命科学与工程学院,生物信息学,本科

 

工作经历:

2020.10-至今 四川大学电气工程学院,副研究员


科研项目:

(1)国家自然科学基金青年科学基金项目,变换域分布式自适应滤波理论及其应用研究,2022.01-2024.12,主持

(2)国家重点研发计划项目,响应驱动的大电网稳定性智能增强分析与控制技术,2022.01-2024.12,参与

(3)四川省科技厅重点项目,四川综合能源异构数据智能决策系统研究及应用,2021.04-2023.04,参与

(4)国家电网公司总部科技项目,多类型清洁能源经特高压交流落点电源空心化负荷中心规划、运行优化衔接技术,2022.01-2023.12,参与

(5)国家电网公司总部科技项目,交直流混联电力电子系统全频段振荡分析、定位及控制系统研发,2020.11-2022.12,参与

(6)四川大学引进人才项目,基于数据驱动的电力系统全景信息感知技术研究,2021.04-2023.12,主持

 

代表性论文:

[1] z. zheng, y. xu, l. mili, z. liu, m. korkali, y. wang, “observability analysis of a power system stochastic dynamic model using a derivative-free approach,” ieee transactions on power systems, vol. 36, no.6, pp. 5834-5845, 2021.

[2] z. zheng, y. xu, l. mili, z. liu, l. peng, y. wang, “derivative-free observability analysis of a stochastic dynamical system,” ieee transactions on network science and engineering, vol. 8, no. 3, pp. 2426-2437, 2021.

[3] z. zheng, z. liu, j. zhao, “bias-compensated sparsity-aware nlmm algorithms for robust adaptive echo cancellation,” ieee transactions on circuits and systems i: regular papers, vol. 67, no.7, pp. 2383-2396, 2020.

[4] z. zheng, z. liu, h. zhao, y. yu, l. lu, “robust set-membership normalized subband adaptive filtering algorithms and their application to acoustic echo cancellation,” ieee transactions on circuits and systems i: regular papers, vol. 64, no. 8, pp. 2098–2111, 2017.

[5] z. zheng, z. liu, “steady-state mean-square performance analysis of the affine projection sign algorithm,” ieee transactions on circuits and systems ii: express briefs, vol. 67, no.10, pp. 2244-2248, 2020.

[6] z. zheng, z. liu, y. dong, “steady-state and tracking analyses of improved proportionate affine projection algorithm,” ieee transactions on circuits and systems ii: express briefs, vol. 65, no. 11, pp. 1793-1797, 2018.

[7] z. zheng, j. zhao, l. mili, z. liu, “unscented kalman filter-based unbiased minimum-variance estimation for nonlinear systems with unknown inputs,” ieee signal processing letters, vol. 26, no. 8, pp. 1162-1166, 2019.

[8] z. zheng, j. zhao, l. mili, z. liu, “robust unscented unbiased minimum-variance estimator for nonlinear system dynamic state estimation with unknown inputs,” ieee signal processing letters, vol.27, pp.376-380, 2020.

[9] j. zhao, z. zheng, s. wang, r. huang, t. bi, l. mili, z. huang, “correlation-aided robust decentralized dynamic state estimation of power systems with unknown control inputs,” ieee transactions on power systems, vol. 35, no. 3, pp. 2443-2451, 2020.

[10] y. xu, l. mili, m. korkali, k. karra, z. zheng, x. chen, “a data-driven nonparametric approach for probabilistic load-margin assessment considering wind power penetration,” ieee transactions on power systems, vol. 35, no. 6, pp. 4756-4768, 2020.

[11] l. peng, j. zhao, y. tang, l. mili, z. gu, z. zheng, “real-time lcc-hvdc maximum emergency power capacity estimation based on local pmus,” ieee transactions on power systems, vol. 36, no. 2, pp. 1049-1058, 2021.

[12] y. xu, j. valinejad, m. korkali, l. mili, y. wang, x. chen, z. zheng*, an adaptive-importance-sampling-enhanced bayesian approach for topology estimation in an unbalanced power distribution system, ieee transactions on power systems, early access, 2021.


 

 

 

 

 

 

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