scholarly journals Direct Power Control of Three-phase Voltage Source Converters Using Feedback Linearization Technique

2016 ◽  
Vol 86 ◽  
pp. 365-368 ◽  
Author(s):  
Nirawit Muangruk ◽  
Suksun Nungam
Keyword(s):  
Power Control ◽  
Feedback Linearization ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Phase Voltage ◽  
Direct Power ◽  
Direct Power Control ◽  
Linearization Technique ◽  
Three Phase

Advanced Direct Power Control for Grid-connected Distribution Generation System Based on Fuzzy Logic and Artificial Neural Networks Techniques

2017 ◽  
Vol 8 (3) ◽  
pp. 979 ◽  
Author(s):  
Mustapha Jamma ◽  
Abderrahim Bennassar ◽  
Mohamed Barara ◽  
Mohammed Akherraz
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Power Control ◽  
Voltage Source ◽  
Phase Voltage ◽  
Direct Power ◽  
Direct Power Control ◽  
Three Phase ◽  
Artificial Neural

This paper proposes an improvement of the direct power control (DPC) scheme of a grid connected three phase voltage source inverter based on artificial neural networks (ANN) and fuzzy logic (FL) techniques for the renewable energy applications. This advanced control strategy is based on two intelligent operations, the first one is the replacement of the conventional switching table of a three phase voltage source inverter (VSI) by a selector based on artificial neural networks approach, and the second one is the replacement of the hysteresis comparators by fuzzy logic controllers for the instantaneous active and reactive power errors. These operations enable to reduce the power ripples, the harmonic disturbances and increase the response time period of the system. Finally, the simulation results were obtained by Matlab/Simulink environment, under a unity power factor (UPF). These results verify the transient performances, the validity and the efficiency of the proposed DPC scheme.

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