Application of Harmonic Extraction Method Based on Double-Layer Adaptive Line Neural Network in Distributed System

In recent years, distributed generation systems have developed rapidly. Due to the fluctuating nature of these sources, the electricity generated may fail to meet grid requirements. To address this, grid-connected structures are needed to transform and process the electricity generated by distributed generation systems. One major issue is the accurate detection of the fundamental waveform of the grid voltage, which serves as a control target for grid-connected structures. This paper proposes a study on the method and implementation of fundamental waveform extraction, introducing the control strategy of the double-layer linear neural network, and providing a fundamental waveform extraction under frequency fluctuations. Finally, the paper describes a test to observe the performance of fundamental waveform extraction.