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Predictive Direct Power Control of Doubly Fed Induction Generators to Reduce the Power Ripple During the Grid Synchronization
American Journal of Electrical Power and Energy Systems
Volume 9, Issue 6, November 2020, Pages: 97-103
Received: Nov. 24, 2020; Accepted: Dec. 7, 2020; Published: Dec. 16, 2020
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Authors
Ghazaleh Sarfi, Electrical Department, Iran University of Science and Technology, Tehran, Iran
Mohsen Kalantar, Electrical Department, Iran University of Science and Technology, Tehran, Iran
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Abstract
This paper presents a new method of predicting power based on predictive direct power control. This method reduces power ripple in a doubly fed induction generator, which makes it possible to have a smoother synchronization with the grid in low constant frequency switching. To achieve fast and smooth grid synchronization without any over current, the difference between the measure, frequency, and the phase of the stator voltage and the grid voltage should be minimized. This condition can be achieved by minimizing the error between active and reactive virtual power and their references. By predicting the virtual active and reactive power behavior and choosing different active voltage vectors and using each of them at different times among each period time, the best switching of the rotor side converter in doubly fed induction generator to have a smoother condition can be chosen. In this paper, a 15kw generator is simulated by the classic method which is direct power control, and this new method, predictive direct power control, and it will be shown how much the new method reduces the power ripple to have a smoother synchronization that doesn’t cause mechanical or electrical pressure for none of the grid and the doubly fed induction generator.
Keywords
Synchronization, Doubly Fed Induction Generator, Active and Reactive Virtual Power, Predictive Direct Power Control
To cite this article
Ghazaleh Sarfi, Mohsen Kalantar, Predictive Direct Power Control of Doubly Fed Induction Generators to Reduce the Power Ripple During the Grid Synchronization, American Journal of Electrical Power and Energy Systems. Vol. 9, No. 6, 2020, pp. 97-103. doi: 10.11648/j.epes.20200906.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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