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.
Highlights
Wind energy is one of the most promising renewable energy resources for generating electricity due to its cost competitiveness compared with other conventional energy resources
In order to improve the conversion efficiency of wind energy, the corresponding system architectures of wind energy conversion are put forward and the relevant simulating analysis or physical research to obtain the maximum power of wind energy is carried out [4,5,6]
In order to establish the parallel system and verify the efficiency of the control algorithm, most researchers establish artificial systems on a third-party simulation platform to simulate and test the control algorithm, converting it to a specific program recognized by the actual controller or directly applying the simulation software to an actual control system through the communication protocol. These approaches will lead to low efficiency in the parallel system, besides, the simulation software cannot guarantee the stability and robustness of the control system. Considering the factors such as generality, modularity and visualization, this paper aims to change the traditional software engineering and computing environment, and propose a new computing environment based on the parallel system theory to establish an efficient WECS, that is, the parallel wind energy conversion system (PWECS), to reduce the development cost and adapt to the complex and heterogeneous industrial control environments
Summary
Wind energy is one of the most promising renewable energy resources for generating electricity due to its cost competitiveness compared with other conventional energy resources. Industrial control enterprises around the world are devoting great effort to developing and utilizing wind energy [1]. Research into wind energy has significantly increased [2]. How to improve the efficiency of wind energy conversion has become an important scientific problem which has drawn great attention from academia [3]. The cost of their design, development and maintenance are extremely high which largely weaken the benefits of the algorithm research of the automation system to some extent. The reason is that the engineering application of the wind energy conversion control algorithm is a complex cross-disciplinary subject involving mathematics, control, management and computer technology and the complexity
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