Design of complex wind power generation parameter control system based on embedded control combined with Internet of Things

Issue title: Big Data for IoT Cloud Computing Convergence

Guest editors: Z.X. Hou and Y. Xiao

Article type: Research Article

Authors: Dai, Bin^{; *}

Affiliations: Yuncheng University, Yuncheng 044000, Shanxi, P.R. China. E-mail: 751304622@qq.com

Correspondence: [*] Corresponding author. E-mail: 751304622@qq.com.

Abstract: We aimed to control complex wind power generation parameters’ contributions to achieve healthful and energy-saving operating conditions for wind turbines and improve the stability of wind power generation and processing capacity of wind grid output data. Hence, a design method of complex wind power generation parameter control system based on embedded control combined with Internet of Things (IoT) is proposed. In this method, in the IoT environment, the overall model of the system is determined, and embedded control for big data of the complex wind power generation parameters is performed to achieve adaptive fusion of control instruction information, and optimize the big data transmission and scheduling of control instruction sets. Test results show that the complex wind power generation parameter control system designed through this method has relatively strong parameter data control processing capability, good stability of control instruction transmission and high parallel processing capability of control instruction sets, and this method improves the control quality of the overall system.

Keywords: Wind power, Internet of Things, energy-saving control system, embedded, big data processing

DOI: 10.3233/WEB-190407

Journal: Web Intelligence, vol. 17, no. 2, pp. 131-139, 2019