个人简介
专业：电气工程
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
近期论文
查看导师新发文章
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[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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