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张沛
- 教师拼音名称：Pei Zhang
- 性别：男
- 职称：教授
- 所属院系：电气自动化与信息工程学院
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· 2019. Y. Zhang, Y. Xu, Z. Y. Dong and P. Zhang. Real-Time Assessment of Fault-Induced Delayed Voltage Recovery: A Probabilistic Self-Adaptive Data-Driven Method. IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 2485-2494, May 2019.
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· 2019. C. Li, Y. Xu, J. He, P. Zhang and L. Liu. Parallel Restoration Method for AC-DC Hybrid Power Systems Based on Graph Theory. IEEE Access, vol. 7, pp. 66185-66196, 2019.
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· 2019. Xiaoyang DENG, Pei ZHANG, Kangmeng JIN, Jinghan HE, Wang, Yuwei WANG. Probabilistic load flow method considering large-scale wind power integration. Journal of Modern Power Systems and Clean Energy, 2019,4
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· 2019. Changcheng Li, Xiaojun Wang, Pei Zhang, Xiaojun Zhu, Dengfeng Li, Tao Chen. Online Voltage Stability Monitoring Method for Multi-boundary Weak Area. Proceedings of the CSU-EPSA, 2019, 31 (02): 19-25.
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· 2019. Pei Zhang, Yan Xu; Fengji Luo, Zhaoyang Dong,. Power Big-Data: New Assets of Electric Power Utilities. Journal of Energy Energy Vol. 145, Issue 3 (June 2019)
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· 2019. Changxin Ding, Pei Zhang, Xiangfei Meng, Weijie Li. Evaluation of static voltage stability margin on-line based on classification regression tree algorithm. Proceedings of the CSU-EPSA
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· 2018. X. Wang, R. Jiang, P. Zhang, Y. Mu and M. Ding,. An economic benefit evaluation model and its application for optimizing transmission capacity of multinational interconnections. CSEE Journal of Power and Energy Systems, vol. 4, no. 4, pp. 444-451, Dec. 2018
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· 2018. Ying Chao, Ye Jin, Jingliang Zhu, Feng Sun, Pei Zhang. Probabilistic Forecast of Annual Peak Load with consideration of Photovoltaic Generation Output Uncertainties. Guangdong Electric Power, 2018, 31 (09): 83-89.
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· 2018. Y. Lei, P. Zhang, K. Hou, H. Jia, Y. Mu and B. Sui. An Incremental Reliability Assessment Approach for Transmission Expansion Planning. IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2597-2609, May 2018.
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· 2018. Kaijun Wang ,Weiming Zheng,Ke Sun,Kangmeng Jin,Pei Zhang. Smart Grid Value-Added Business Survey and Customized Service. Electric Power 2018,51 (02): 67-74
