Title: Data acquisition and management of wind farm using edge computing

Authors: Xin Cao; Yifei Xu; Zhiwei Wu; Xiaoliang Qin; Fang Ye

Addresses: China Suntien Green Energy Co., Ltd., Shijiazhuang 050000, China ' China Suntien Green Energy Co., Ltd., Shijiazhuang 050000, China ' BeiJing Goldwind Smart Energy Technology Co., Ltd., Beijing 100000, China ' Hebei Construction Investment New Energy Co., Ltd., Zhangjiakou 075000, Hebei, China ' Beijing Goldwind Smart Energy Technology Co., Ltd., Beijing 100000, China

Abstract: The purpose is to deal with the increasingly serious energy crisis and prominent environmental problems in recent years, collect and manage the power data of wind farms and ensure the normal transmission of data information in the wide weak signal coverage area of the wind farm. First, the principle and advantages of edge computing technology are described. Then, the application of this technology to the data acquisition system of wind farms is proposed, making the data acquisition and management work normally. Finally, the application of edge computing technology in wind farm data acquisition and management is simulated, and the results are compared. The results show that the application of edge computing in wind farm data acquisition and management can improve the difficulties of data information transmission caused by the geographical situation and weak signal coverage of wind farms. Moreover, using edge computing technology makes data acquisition and management more efficient and accurate. This exploration provides a new direction for the application of emerging computer technology in the power Internet of Things (IoT) system, and sets an example for future related research.

Keywords: edge computing; power internet of things; wind farm; data acquisition and management.

DOI: 10.1504/IJGUC.2022.124399

International Journal of Grid and Utility Computing, 2022 Vol.13 No.2/3, pp.249 - 255

Received: 31 May 2021
Accepted: 29 Jul 2021
Published online: 26 Jul 2022 *

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