Engineering and Applied Sciences Journal

Hybrid AI Algorithms in the Design of "Wafeer" Device to Reduce Device to Reduce Total Harmonic Distortion (THD) on Low-Voltage Systems

Abstract

Hazar Shtat

This research aims to study and develop hybrid artificial intelligence algorithms used in the Wafeer device, which is designed to reduce capacitive harmonic distortion (THDi) in three-phase low-voltage electrical networks. The research is based on combining the mathematical approach of the Hodgkin–Huxley model with digital processing and machine learning techniques. This is achieved through real-time spectrum analysis based on the Faden spectrum, which is now understood from a purely quantum perspective. The study includes the development of a bioelectrical interface to dynamically sense digital signals and analyze nonlinear interference between currents. The theoretical model culminated in the creation of the Wafeer device, which intelligently charges its capacitors with inactive power and transfers the excess to ground instead of returning it to the transformer zero point. Field simulation results show a significant reduction in THD and an improvement in power factor, confirming the feasibility of combining artificial intelligence and power engineering to improve the stability of electrical networks.

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