Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System

Zhicheng Lin, Song Zheng, Zhicheng Chen, Rong Zheng and Wang Zhang
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Zhicheng Lin: College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Song Zheng: College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Zhicheng Chen: IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China
Rong Zheng: IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China
Wang Zhang: IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China

Energies, 2019, vol. 12, issue 5, 1-20

Abstract: The parallel system is a kind of scientific research method based on an artificial system and computational experiments, which can not only reflect the dynamic process of the real system but also optimize its control process in real time. Given the rapid development of wind energy technology, how to shorten the development and deployment cycle and decrease the programming difficulties of wind energy conversion system (WECS) are major issues for improving the utilization of this form of energy. In this paper, the Data Engine is used as a computing environment to form a parallel WECS for studying the engineering application of WECS. With the support of the programming methods of graphical component configurations, visualization technology and dynamic reconfiguration technology, a maximum power point tracking (MPPT) computing experiment of the parallel WECS is carried out. After comparing with MATLAB simulation results, the parallel WECS is verified as having good performance. The Data Engine is an ideal computing unit for modeling and computation of the parallel system and can establish a parallel relationship between the artificial system and the real system so as to achieve the optimal control of WECS.

Keywords: wind energy conversion system; parallel system; data engine; engineering application; maximum power point tracking (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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