Tang Haiyan
Electric Power Research Institute
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Featured researches published by Tang Haiyan.
ieee pes asia pacific power and energy engineering conference | 2016
Li Yan; Liu Chao; Chi Yongning; Tang Haiyan
With increasing scale of wind power development, large wind power bases will, where there is no support from synchronous power source, be directly connected to the grid and therefore one of developing trends to transmit currently large-scale wind power is transmit the wind power “island” with the long distance VSC-HVDC transmission technology when it is connected to the grids. When a large-scale wind power island is connected to a VSC-HVDC grid, the wind turbines and the VSC-HVDC grid will influence each others operation and control, and in particular, in the case of fault, mutual coupling of dynamic characteristics of electrical variables at different time scales between the wind turbines and the VSC-HVDC grid cannot be ignored. The paper is focused on non-synchronous detection of disturbance, one of key problems found in connection of wind power to the VSC-HVDC grid, and studies the fault ride-through (FRT) technology for the island-connected large-scale wind power and the VSC-HVDC grid, by analyzing the impact of fault-response characteristics of the wind power and the VSC-HVDC grid at different time scales on each other.
ieee pes asia pacific power and energy engineering conference | 2014
Hou Junxian; Tao Xiangyu; Zhang Shi; Shen Hong; Tang Haiyan; Liu Tao; Zi Peng
The double-fed inductor generator (DFIG) is one important type of wind generator. Because of high percentage of wind energy, it is necessary to build accurate wind generator model and parameters for power system electro-mechanic simulation. The paper mainly presents the simulation model and parameter identification method of DFIG type wind generators. For power system transient simulation, the characteristic related to low voltage ride-through (LVRT) is most important, and the model related to LVRT is mainly presented. The parameters of the model are divided into three types and use different identification method. The identification method of important parameters is mainly presented. One actual wind generator is used as an example to explain the identification process and testify the validity of the model.
Archive | 2013
Sun Yu; Chi Yongning; Li Yan; Su Yuanyuan; Liu Chao; Wang Zhen; Tang Haiyan; Zhang Zhankui; Wei Linjun; Wang Zhibing; Bai Hong; Zhang Xiaoyu
Archive | 2015
Chi Yongning; Wang Weisheng; Tian Xinshou; Li Yan; Tang Haiyan; Zhang Zhankui; Wang Zhen; Sun Wei; Su Yuanyuan; Wei Linjun
Archive | 2014
Chi Yongning; Wang Weisheng; Tian Xinshou; Li Yan; Dong Cun; Tang Haiyan; Zhang Zhankui; Wang Zhen; Sun Wei; Su Yuanyuan; Wei Linjun; Wang Zhibing
Archive | 2014
Li Yan; Wang Zhen; Chi Yongning; Su Yuanyuan; Tian Xinshou; Liu Chao; Sun Yu; Cao Wei; Lei Weimin; Gu Bing; Wang Xin; Zhao Shuang; Luo Wei; Wei Linjun; Zhang Zhankui; Tang Haiyan; Wang Zhibing; Qu Chunhui; Qiu Weidong; Hu Junhui
Archive | 2016
Chi Yongning; Zheng Tao; Su Xiaohua; Zhang Jiankang; Li Yan; Wang Zhen; Tang Haiyan; Liu Xin; Zhang Zhankui; Bi Yanqiu; Su Yuanyuan; Wei Linjun; Bai Hong; Zhang Xiaoyu; Zhang Pengfei; Zhao Hongga
Archive | 2015
Chi Yongning; Zhang Zhankui; Li Yan; Wang Zhen; Tang Haiyan; Wei Linjun; Su Yuanyuan; Sun Yu; Wang Zhibing; Bai Hong; Zhang Xiaoyu
Archive | 2014
Zhang Xiaoyu; Chi Yongning; Yao Weizheng; Li Yan; Tang Haiyan; Wu Jinlong; Xiao Peng; Zhang Jinlong; Wang Zhen; Wei Linjun; Zhang Zhankui; Su Yuanyuan; Ren Xiaohong
Archive | 2014
Sun Yu; Li Yan; Chi Yongning; Su Yuanyuan; Zhang Zhankui; Wang Zhen; Wei Linjun; Tang Haiyan; Wang Zhibing