Optimized Control of DC Voltage Based on BP Neural Network in Active Power Filter

2013 ◽  
Vol 860-863 ◽  
pp. 1867-1876
Author(s):  
Jian Fu Peng ◽  
Le Feng Cheng ◽  
Li Peng Huang ◽  
Jing Jiang ◽  
Tao Yu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Active Power Filter ◽  
Active Power ◽  
Hysteresis Width ◽  
Dc Voltage ◽  
Grid Voltage ◽  
Power Filter ◽  
Voltage Variation ◽  
Arbitrary Precision

This paper presents an intelligent method of optimized control of DC voltage based on BP Neural network, on account of this presentd method, by collecting parameters of grid voltage and significant frequency of harmonic current, then, construct couples of tranining samples and fully use the advantages of BP Neural network that can discretionarily utlize arbitrary precision to approximate any continuous function, and computing the optimized voltage of DC side, as a result, achieving online adjustment of capcitors voltage at DC side. Futher more, adjusting the hysteresis width automatically according to the voltage variation of capacitor, thus the voltage of DC side can automatically adapt to fluctuation of grid voltage and load current, so that to obtain comprehensive optimum of power loss and compensation performance of power active filter.

The Research of SVPWM Control of Shunt Active Power Filter Based on the Inner Relationship between Current and Voltage

2014 ◽  
Vol 528 ◽  
pp. 201-209 ◽  
Author(s):  
Meng Hua Zhang ◽  
Xin Gong Cheng ◽  
Xi Ju Zong
Keyword(s):  
Control Strategy ◽  
Compensation Effect ◽  
Active Power Filter ◽  
Active Power ◽  
Voltage Reference ◽  
Shunt Active Power Filter ◽  
Harmonic Compensation ◽  
Dc Voltage ◽  
Power Filter ◽  
Low Efficiency

To achieve the goal of decreasing the harmonic level in the power grid, traditional shunt active power filter uses the methods such as triangular wave comparison and hysteresis comparator which overall exist some problems, for instance, poor ability of current tracking and low efficiency of DC voltage utilization that lead to bad compensation result. Therefore, we put forward another SVPWM based control strategy in which a relationship between the current reference instruction of active power filter and the voltage reference instruction of SVPWM is found via the topological structure of shunt active power filter. Then we can use SVPWM method to accurately track and compensate the harmonic current. Simulation and experimental results show that the control strategy can solve the above proposed problems and bring about very good harmonic compensation effect.

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