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Improved The Adaptation For Three Phase Active Filter Under Non-IdealLoad Using Sample Current Control

Huynh Le Minh Thien (), Nguyen Xuan Tien, Tran Thanh Vu and Ho Van Cuu
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Huynh Le Minh Thien: Saigon University, Ho Chi Minh City, Vietnam
Nguyen Xuan Tien: Saigon University, Ho Chi Minh City, Vietnam
Tran Thanh Vu: Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam
Ho Van Cuu: Saigon University, Ho Chi Minh City, Vietnam

Journal of Mechanical Engineering Research & Developments (JMERD), 2019, vol. 42, issue 3, 76-80

Abstract: In this paper, a comparison between sample current control and direct current control to show the efficiency of the two current control method of Active Power Filter. The main function of the scheme was a duty by the two-level three phases inverter. According to the classic approach, transistors are converted depending on the sign of the current error, in turn, sampled at equal intervals. Both methods follow the synchronous toggle principle. In the first method, the current vector at the end of the interval is predicted for two possible cases when the operating voltage vector towards the current fault or zero voltage vector is applied. An error generates a smaller current error at the end of the selected sampling period, thus reducing the switching frequency. In the second method, the most appropriate operating voltage vector will succeed in zero vectors over the same period. A simple algorithm is used to calculate the duty cycle to achieve the smallest possible error. Both methods are simulated with three different load modes: no load, RL load, and nonlinear load. At the end of the article, the behavior of the second method, SCC, is worth more. The simulation results demonstrate the viability and effectiveness of the two technique of current control in reducing the ripple, losses, and Total Harmonic Distortion of supply current.

Keywords: Active power filter; sample current control - SCC; direct current control - DCC; power quality; total harmonic distortion - THD. (search for similar items in EconPapers)
Date: 2019
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DOI: 10.26480/jmerd.03.2019.76.80

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