Harmonic Current Identification by Adaline Neural Network and RealImaginary Instantaneous Algorithm
Harmonic Current Identification by Adaline Neural Network and Real-Imaginary Instantaneous Powers Algorithm
This work is focused on harmonic current extraction and reactive power compensation using shunt active power filter (SAPF). In order to fulfil this objective an algorithm based on (ADALINE) Neural Network and Real and Imaginary Instantaneous Powers (ANN-RIIP) is developed to extract and identify harmonic components. Moreover, this algorithm estimates total harmonic current and also harmonic components individually. The developed algorithm is validated by computer simulation in MATLAB/Simulink environment and implemented experimental in a dSPACE 1104 controller. The method is easy to implement in real time compared to other methods such as pq. The results obtained by simulation are in concordance with the experimental results confirming the effectiveness of the proposed ANN-RIIP algorithm. The results have also demonstrated that the speed and accuracy of the proposed algorithm can improve the performances of active power filters.
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#Active_power_filter #harmonics currents #ADALINE #Neural_Network; #pqtheory; #Fourier_series.
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