Energy Management and Power Quality Enhancement of Hybrid Renewable Energy Generation System Using ANN-Based Coordinated Control Scheme

In modern electricity production, renewable energy sources like wind power systems and solar photovoltaic (PV) panels are increasingly used. The current and predicted weather patterns significantly impact these systems, causing irregular behavior that affects output and manufacturing. Consequently, timely adjustments in energy distribution and transmission networks are becoming more critical. This research introduces a new smart grid application for power system operation. To decrease undesirable harmonics, balance reactive power in the power sources, and enhance power quality and flow in the distribution system, a Static Compensator (STATCOM) device is utilized. The system connects a Three-Phase Four-Wire (3P4W) distribution network to a quasi-Z-Source Inverter (qZSI) based STATCOM. The proposed compensator circuit, which includes a PV system and a qZ-source, is used for switching purposes. An Adaptive Frequency Fixed (AFF) – Second Order Generalized Integrator (SOGI) operates the compensator. Optimization is achieved using a fuzzy logic controller (FLC) and Artificial Neural Networks (ANNs). The experimental outcomes demonstrate that the system effectively reduces the source current’s Total Harmonic Distortion (THD) from 25.5% to 1.3%. Additionally, the technology has proven its capability to provide active power to the load.