Harmonic Current Identification by Adaline Neural Network and Real-Imaginary Instantaneous Powers Algorithm

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Harmonic Current Identification by Adaline Neural Network and Real-Imaginary Instantaneous Powers Algorithm

September 29, 2020 Engineering 0

This work focuses on the extraction of harmonic current and the compensation of reactive power using the shunt active power philtre (SAPF). An algorithm based on (ADALINE) Neural Network and Real and Imaginary Instantaneous Forces (ANN-RIIP) is designed to extract and classify harmonic components in order to achieve this goal. In addition, this algorithm independently estimates the total harmonic current and also the harmonic components. In the MATLAB / Simulink area, the established algorithm is validated by computer simulation and implemented experimentally in a dSPACE 1104 controller. Compared to other approaches such as pq, the approach is simple to apply in real time. The results obtained by the simulation are consistent with the experimental results, indicating that the proposed ANN-RIIP algorithm is accurate. The results have also shown that the speed and accuracy of the algorithm proposed will enhance the efficiency of the active power philtres.

Author (s) Details

Larbi Hamiche
LSELM Badji-Mokhtar University, BP 12, Annaba 23000, Algeria.

Salah Saad
LSELM Badji-Mokhtar University, BP 12, Annaba 23000, Algeria.

Leila Merabet
LSELM Badji-Mokhtar University, BP 12, Annaba 23000, Algeria.

Fares Zaamouche
Department of Mining Engineering, Faculty of Science and Technology, Larbi Tebessi University, Algeria.

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