He Jinghan
Beijing Jiaotong University
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Publication
Featured researches published by He Jinghan.
international conference on measuring technology and mechatronics automation | 2014
Deng Chao; He Jinghan; Luo Guomin; Meng Xin; Wang Xingshuai
The relationship between tension wheel equipments transmission efficiency and angle changes is studied theoretically. Regarding the features of practical data, Solidworks 3D software is adopted to establish the tension wheel equipment model. Then such model is processed in ANSYS Workbench, and its Youngs modulus, density and other physical parameters are set. The relationship between the coefficient of friction and tension is analyzed by static simulation. The dynamic simulation results show the movement of tension wheel equipment with different outside load is discussed, as well as the relationship between transmission efficiency and tension. The simulation verifies the correctness of the model and provides a new approach for the analysis of the reliability and working conditions of the catenary tension wheel equipment.
Journal of International Council on Electrical Engineering | 2014
Bai Dandan; He Jinghan; Tian Wenqi; Wang Xiaojun; Tony Yip
A high precise wind speed forecasting method is one of current wind power research hotspots. This paper presented a combined wind speed forecasting model based on support vector machine (SVM) optimized by particle swarm optimization (PSO) using historical data of wind speed at the site. The model took the results of back propagation neural network (BPNN), radial basis function neural network (RBFNN), genetic neural network (GNN) and wavelet neural network (WNN) as the inputs, and adopted the actual wind speed as the output. Meanwhile, particle swarm optimization was used to optimize model parameters. Apply this model in hourly prediction of wind speed using historical data from a wind farm in Shanxi Province. It is observed that its prediction accuracy was not only higher than that of any of its single network but higher than traditional linear combined forecasting model and neural network combined forecasting model.
ieee pes international conference and exhibition on innovative smart grid technologies | 2011
Yang Beige; Xue Hui; Bai Dandan; Hu Wei; He Jinghan
With high penetrations of wind energy, different types of wind farm generators do not have the same fault transient characteristics that can complicate the selection and configuration of wind farm grid protection equipment. Incorrect selection of protection equipment will affect the stability and of the power systems. This paper investigates and analyzes the transient characteristics of doubly-fed induction generator (DFIG) under various short-circuit fault conditions for a typical distribution network. Firstly a detailed model of the DFIG and its principles is descried. A realistic of a 99 MW wind farm with 66 units of 1.5 MW DFIG is modeled using RTDS/RSCAD. The transient characteristic of the wind farm with the DFIG units have been analyzed under different short-circuit fault conditions. Results from the fault performance study on the distribution network are presented and discussed.
international conference on electric utility deregulation and restructuring and power technologies | 2011
Han Hai-Ying; He Jinghan; Wang Xiaojun; Tian Wenqi
Archive | 2013
Zhao Wei; Chen Ruimin; Jiang Jiuchun; He Jinghan; Tian Wenqi; Sun Bingxiang
Archive | 2014
He Jinghan; Tian Wenqi; Jiang Jiuchun; Zhao Wei; Zhang Weige; Sun Bingxiang
ieee pes innovative smart grid technologies conference | 2012
Xu Baoliang; He Jinghan; Wang Xiaojun
Archive | 2017
He Jinghan; Li Wenli; Zhang Dahai; Wang Ziqi; Ding Fanfan; Zhang Qiufang; Zhang Yizhi; Ren Xinyu
Archive | 2017
Zhang Dahai; Ding Fanfan; He Jinghan; Li Wenli; Wang Ziqi
Archive | 2017
He Jinghan; Wang Ziqi; Zhang Dahai; Li Wenli; Ding Fanfan; Zhang Qiufang; Zhang Yizhi; Ren Xinyu