Shan He
Xinjiang University
15 Papers
38 Citations
Shan He is an academic researcher from Xinjiang University. The author has contributed to research in topics: Wind power & Computer science. The author has an hindex of 3, co-authored 8 publications.
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Papers
Patent
Method and device for controlling virtual inertia of double-fed fan
Mei Shengwei,Zhang Xinyan,Liu Feng,Wang Weiqing,Chen Laijun,Chang Xiqiang,Zheng Tianwen,Shan He,Tianyi Chen +8 more
- 12 Aug 2015
TL;DR: In this paper, a method and a device for controlling virtual inertia of a double-fed fan was proposed, which comprises the steps of establishing an electric power system frequency response equation; acquiring an estimated value of a system inertia time constant; acquiring a standard form of an extended state observer; designing the extended state observers; and acquiring an active reference increment through the extended-state observer so as to acquire a virtual inertia control equation of the doublefed fan.
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Summerization and study of fault diagnosis technology of the main components of wind turbine generator system
Xin-yan Zhang,Shan He,Peiyi Zho,Weiqing Wang +3 more
- 01 Nov 2008
TL;DR: In this article, a fault diagnosis method based on frequency spectrum analysis and wavelet analysis can be effectively used in the vibration analysis of the gear box, shaft and generator of wind turbine generator system.
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Research on neural network wind speed prediction model based on improved sparrow algorithm optimization
Liang Zhang,Shan He,Jing Cheng,Zhi Yuan,Xue Yan +4 more
TL;DR: Wang et al. as mentioned in this paper proposed a modified sparrow search algorithm based on sinusoidal chaotic mapping to improve the BP neural network wind speed prediction model, and the experimental results indicated that the error evaluation indicators of the Sine-SSA-BP algorithm are all smaller than the BP Neural Network.
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Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining
TL;DR: In this paper , a low-carbon optimal operation strategy of multi-park integrated energy system (M-PIES) considering the multi-energy sharing trading mechanism (MSTM) and asymmetric Nash bargaining (ANB) was proposed.
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Patent
Wavelet packet-neural network-based wind/photovoltaic power prediction method
Zhang Xinyan,Mei Shengwei,Wang Weiqing,Chang Xiqiang,Shan He,Lyu Guangjian,Chen Jie,Jian Li,Li Meng,Liu Feng,Chen Laijun,Huang Furong +11 more
- 22 Feb 2017
TL;DR: In this article, a wavelet packet-neural network-based wind/photovoltaic power prediction method was proposed to map wind and photovoltaic power change characteristics on various spatial and temporal scales, where low-frequency and high-frequency components respectively map the interior change rules of predicted objects.
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