Abstract
In this study, a novel control approach for a doubly-fed induction generator (DFIG) is developed and applied to improve the system’s dynamic response and performance for providing high energy quality while avoiding harmonic accumulations. Because of its ease of implementation, field-oriented control (FOC) is frequently used. This control has great sensitivity to the machine’s parametric variations. For this reason, adaptive Backstepping control (ABC) is capable of preserving almost all of the performance and robustness properties. However, its analytical formulation has a problem. To overcome these disadvantages, the hybrid control (HC) is developed and verified to enable rapid response, complete reference tracking, and appropriate dynamic behavior with a low ripple level. This control is a combination of FOC’s and ABC’s control laws. The prepared control is explored by simulation testing using Matlab/Simulink and practical implementation using an FPGA board with actual turbine settings and a real wind profile of Dakhla City, Morocco. The results of hardware simulation show the efficacy of the HC in terms of speed and robustness, with a total harmonic distortion THD = 0.95, a value of THD that reveals the quality of the energy injected into the grid.
Highlights
Nowadays, significant effort is being made to find a source of production of renewable energy as an alternative resource to secure fossil fuels while protecting the environment [1]
Despite the advantages of the wind energy conversion system, it suffers from instability and nonlinearity, resulting from the fluctuating nature of the wind, which can create some problems in the grid, such as a shock
Several studies and algorithms have been applied to enhance the performance of well-known controls of (WECS) [4,5,6]
Summary
Significant effort is being made to find a source of production of renewable energy as an alternative resource to secure fossil fuels while protecting the environment [1]. Despite the advantages of the wind energy conversion system, it suffers from instability and nonlinearity, resulting from the fluctuating nature of the wind, which can create some problems in the grid, such as a shock To overcome these problems, the system requires robust controllers that can enable it to face the internal parametric changes and external disturbances and achieve adequate performance under different operation conditions. Experimental validation of the approach proposed using the real-time interface connected to the Nexys 2 FPGA board is included For this purpose, this article is divided as follows: presentation of the model of the wind turbine system conversion chain; modeling and design of the adaptive Backstepping control technique; validation of the model proposed on Matlab/Simulink and by a co-simulation with an implementation on the FPGA target; and analysis and interpretation of the results
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