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Featured researches published by Wang Yu.


ieee transportation electrification conference and expo asia pacific | 2017

Risk assessment model of relay protection system based on multi-state Bayesian networks

Xu Changbao; Zhao Lijin; Wang Yu; Huang Liang; Jia Yongtian; Ying Liming

Relay protection is important for power systems stable operation. However, logic state of traditional Bayesian network is simplex. To adapt to the relay protection system operation environment with increasing complexity in current years, a risk assessment model of relay protection system based on multiple-state Bayesian networks is established with dynamic and static indexes. Taking advantages of figurative expression of Bayesian network, the model can express multiple states of system and probability clearly, and also can calculate the risk grade by using qualitative and quantitative analysis of multi-state Bayesian networks.


ieee transportation electrification conference and expo asia pacific | 2017

State comprehensive evaluation of secondary equipment in an intelligent substation based on real-time information

Xu Changbao; Zhao Lijin; Wang Yu; Huang Liang; Wang Yulei; Ying Liming

Secondary equipment of real-time information on its status evaluation plays a very important role. And the development of secondary equipment intellectualization and change the way of communication, the equipment real-time state information in an intelligent substation secondary can through the device self-checking information data to realize the online monitoring and network analyzer. Comprehensive evaluation model of secondary equipment health status based on real-time monitoring of environmental information is established. The analytic hierarchy process (AHP) and the subjective and objective combination method of the entropy weight method is used to reduce the weight deviation. Considering the serious information easy to be submerged risks in the process of traditional weighted, a mechanism of that serious information trigger weight fusing and redistribution weight correction is put forward, to ensure the accuracy of the evaluation results. The state evaluation results of fuzzy membership degree is transferred into the evaluation scores and the corresponding state level is determined. The rationality of the comprehensive status evaluation model proposed in the paper is verified by the example analysis.


Archive | 2015

High-accuracy synchronous system detection device applied to intelligent transformer substation

Wang Yu; Deng Hu; Xu Changbao; Gao Jipu; Dai Yu; Zhang Xiaobo; Meng Yang; Xiong Han


Archive | 2014

Switch based process level network message analysis method

Gao Jipu; Xu Changbao; Chen Jianguo; Wang Yu; Wu Jie; Pan Fuming


Archive | 2014

Digital transformer protection device based on network sampling variable ratio braking coefficient

Gao Jipu; Chen Jianguo; Xu Changbao; Wang Yu


Archive | 2014

Transient characteristic test system and method of mutual inductor based on digital simulation of Rogowski coil

Xu Changbao; Gao Jipu; Wang Yu; Dai Yu; Luo Qiang


Archive | 2016

Clothes hanger telescoping remote control method

Li Zhanqi; Chen Jianguo; Liu Chiwei; Wang Yu; Zhang Dan


Archive | 2015

Optical transformer electric energy metering verification platform

Gao Jipu; Xu Changbao; Wang Yu; Zhang Li; Zhou Wei; Liu Dongwei; Li Yongbing


Archive | 2015

Verification platform and verification method for electric energy measurement of optical transformer

Gao Jipu; Xu Changbao; Wang Yu; Zhang Li; Zhou Wei; Liu Dongwei; Li Yongbing


Archive | 2014

Device and method for detecting time parameters of intelligent substation merging units

Wang Yu; Xu Changbao; Gao Jipu; Xiao Xiaobing; Zhao Xuyang; Liu Jing; Huang Yao

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Chen Haomin

Electric Power Research Institute

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Guo Xiaobin

Electric Power Research Institute

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Xi Wei

Electric Power Research Institute

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Yao Hao

Electric Power Research Institute

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Zhou Ke

Electric Power Research Institute

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Xu Aidong

China Southern Power Grid Company

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Chen Bo

Electric Power Research Institute

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Li Peng

China Southern Power Grid Company

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Huang Liang

Electric Power Research Institute

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