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Featured researches published by Shen Yangwu.


Chinese Physics B | 2015

A novel transient rotor current control scheme of a doubly-fed induction generator equipped with superconducting magnetic energy storage for voltage and frequency support

Shen Yangwu; Ke Deping; Sun Yuanzhang; Daniel S. Kirschen; Wang Yi-Shen; Hu Yuanchao

A novel transient rotor current control scheme is proposed in this paper for a doubly-fed induction generator (DFIG) equipped with a superconducting magnetic energy storage (SMES) device to enhance its transient voltage and frequency support capacity during grid faults. The SMES connected to the DC-link capacitor of the DFIG is controlled to regulate the transient dc-link voltage so that the whole capacity of the grid side converter (GSC) is dedicated to injecting reactive power to the grid for the transient voltage support. However, the rotor-side converter (RSC) has different control tasks for different periods of the grid fault. Firstly, for Period I, the RSC injects the demagnetizing current to ensure the controllability of the rotor voltage. Then, since the dc stator flux degenerates rapidly in Period II, the required demagnetizing current is low in Period II and the RSC uses the spare capacity to additionally generate the reactive (priority) and active current so that the transient voltage capability is corroborated and the DFIG also positively responds to the system frequency dynamic at the earliest time. Finally, a small amount of demagnetizing current is provided after the fault clearance. Most of the RSC capacity is used to inject the active current to further support the frequency recovery of the system. Simulations are carried out on a simple power system with a wind farm. Comparisons with other commonly used control methods are performed to validate the proposed control method.


Archive | 2014

Maximum load supply capability evaluation method of medium-voltage power distribution network for loop power supply

Sun Yuanzhang; Xu Liangzhu; Lu Zhouxun; Zhu Yong; Shen Yangwu; Peng Xiaotao; Wu Zhenhui; Lin Chao; Jiang Youquan; Xiao Jianhua


Archive | 2015

Low-voltage ride through control system and method for capacity-optimal energy-storage type double-fed motor

Sun Yuanzhang; Shen Yangwu; Ke Deping; Xu Liang


Archive | 2016

Pumped storage-wind power joint scheduling method of considering wind power output uncertainty

Chen Daojun; Zhang Bin; Zhang Lei; Guo Hu; Shen Yangwu; Zuo Jian; Cui Ting


Archive | 2017

Optimal power flow model construction method considering active power voltage regulation capacity of wind turbine generator set

Shen Yangwu; Cui Ting; Zhang Bin; Xiong Shangfeng; Ke Deping; Zhang Chen; Shen Feifan; Xiang Meng; Luo Xiao


Archive | 2017

Network prediction mode-based dynamic reactive power-voltage coordinated control method

Shen Yangwu; Cui Ting; Zhang Bin; Guo Hu; Zuo Jian; Zhang Keren; Li Chenkun; Luo Xiao; Chen Daojun


Archive | 2017

Wind power plant grid-connection stability analysis method considering dynamic characteristics of permanent magnet directly-driven wind turbine generator

Cui Ting; Shen Yangwu; Ge Yunxia; Xiong Shangfeng; Zhang Bin; Guo Hu; Xiang Meng; Zuo Jian; Li Chenkun


Archive | 2017

Dynamic reactive power compensation device stationing method and device in ultra-high-voltage direct-current receiving-end alternating-current power grid

Cui Ting; Shen Yangwu; Zhang Bin; Guo Hu; Xiang Meng; Zuo Jian; Chen Daojun; Li Chenkun


Archive | 2017

Perturbation theory-based online analysis method of power plant optimization transmission

Xiang Meng; Xie Xiaoqian; Zhang Siyuan; Zhang Bin; Zuo Jian; Guo Hu; Li Chenkun; Shen Yangwu; Cui Ting; Yu Dongzhen


Archive | 2017

Distribution network line mountain fire early warning method based on WAMS line parameter dynamic identification

Zuo Jian; Zhang Bin; Xiang Meng; Zhang Keren; Shen Yangwu; Li Chenkun

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Zhang Bin

Electric Power Research Institute

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Xiong Shangfeng

Electric Power Research Institute

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Zhang Bin

Electric Power Research Institute

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Lin Zhemin

Electric Power Research Institute

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Mao Xun

Electric Power Research Institute

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Wang Yi-Shen

University of Washington

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