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Control of Harmonic Current and Neutral-Point Potential Balance for Three-Level APF
Received:July 23, 2018  Revised:November 27, 2018
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Keywords:softened input  model predictive control  three level  active power filter  SVPWM  neutral point potential balance control
Fund Project:
hu mengyu School of Internet of Things, Jiangnan University, Wuxi, Jiangsu Province hu_mengyu@126.com
shen yanxia School of Internet of Things, Jiangnan University, Wuxi, Jiangsu Province shenyx@jiangnan.edu.cn
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      For the three-level active power filter, a model predictive control method with softened input is proposed for harmonic compensation. At the same time, the neutral-point potential balance control strategy based on the balance factor and simplified SVPWM algorithm is adopted to avoid the adverse effects of the fluctuation and migration of the neutral point potential. The model predictive control method is based on the actual active power filter control system to design the current prediction model. At the same time, the deviation of the predicted output from the actual output is fed back in time, and the compensation current of the active power filter is quickly tracked by the rolling optimization. The DC side bus voltage control adopts a simplified three-level SVPWM algorithm based on the balancing factor, which simplifies the algorithm and ensures the neutral point potential balance. An equivalent model of APF predictive current control is established, and the method is compared with traditional control method. The proposed method effectively softens the current input, suppress the overshoot, and is more stable than traditional method, it reduces the harmonic content and improves the accuracy of compensation, thus ensuring the stability and fast balance of the DC bus voltage. The simulation results verify the effectiveness and feasibility of the proposed control strategy.