Journal of Shanghai Jiao Tong University
1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. East China Branch, State Grid Corporation of China, Shanghai 200120, China
CLC Number:
LI Dongdong1, LIU Di1, XU Bo1, DING Haoyin2, LIU Jiachen2. Quantitative Evaluation Method for Effective Support Capability of Virtual Inertia of Wind Turbine[J]. Journal of Shanghai Jiao Tong University, doi: 10.16183/j.cnki.jsjtu.2024.479.
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URL: https://xuebao.sjtu.edu.cn/EN/10.16183/j.cnki.jsjtu.2024.479
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| [3] | YU Wei, YANG Huanhong, JIAO Wei, ZHOU Ze. Adaptive Virtual Inertial Control Strategy of Optical Storage and Distribution Network Based on TOPSIS Algorithm [J]. Journal of Shanghai Jiao Tong University, 2022, 56(10): 1317-1324. |
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| [5] | SHAO Haoshu,CAI Xu. Research Status and Prospect of Inertia Control for Large Scale Wind Turbines [J]. Journal of Shanghai Jiaotong University, 2018, 52(10): 1166-1177. |
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| [7] | LI Wei-Ming, HONG Jia-Zhen. Research on Model Updating Method Based on Frequency Response Functions [J]. Journal of Shanghai Jiaotong University, 2011, 45(10): 1455-1459. |
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SHAO Yuying1,XU Jian2,RAO Zhushi1,JIN Zhijian2,JIANG Yimin3,ZHOU Kai4 . Application Research of Detecting Transformer Windings’ Deformation Based on Vibration Frequency Response Analysis [J]. Journal of Shanghai Jiaotong University, 2010, 44(09): 1223-1228. |
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