A Fast Power Harmonic Detection Framework based on FPGA

With the rise of modern electronics and technology, various non-linear loads have become integral to our daily lives. The resulting distortion of current and voltage waveforms in the power grid has the potential to trigger malfunctions in electrical components, affecting the functionality and sustainability of the power system. Calculating accurate harmonic content, considering harmonic frequency, amplitude, and phase angle, is a crucial step in addressing harmonic issues. This research article introduces an embedded systems-tailored power harmonic detection method based on the Fast Fourier Transform (FFT) algorithm. This innovative approach significantly enhances the computational precision of FFT. Implemented on the ZYNQ-7000 system on chip, it demonstrates a notable decrease in relative error compared to default data. Furthermore, the operational speed surpasses that of conventional microcontroller devices by 33 times, marking it as a powerful alternative for efficient power harmonic detection.