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郑宗生

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


21B5E


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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