A shunt active DC filter (ADF) with current injection suppresses current harmonics from high-voltage DC (HVDC) transmission systems. This paper proposes an ADF based on artificial neural networks (ANNs). The ANNs are very generic, accurate and convenient statistical models. They can emulate numerical model components, which are of complicated non-linear input/output relationships. The neural network in the control system of the ADF estimates the harmonic components of the load current and voltage. The ANN is trained offline using databases from the conventional controller. The simulation is carried out by MATLAB/Simulink and its results confirm that the proposed controller can offer better performance such as suppression of the current variations (current harmonics) in the DC-transmission line.

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Shunt active DC filter based on intelligence controller for HVDC link

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