An Intelligent ANN-Controlled Grid-Connected Solar PV System with Improved Stability for Multi-Application Energy Management

This paper presents an intelligent ANN-Controlled Grid-Tied Solar Pv System that Supports Residential Loads, EV Charging, and Induction Motor-Based Water Pumping (Household or Agriculture) has been developed in this paper. The aim is achieved through the use of a three-phase totem pole converter with PFC to ensure a nearly unity power factor and reduce electrical loss as well as the overall strain on the grid. A boost converter is used to increase the output voltage of the solar PV array to match the DC link voltage while maximizing energy extraction from it using the Perturb and Observe (P&O) MPPT algorithm. In addition, a bidirectional buck-boost converter is used to regulate the flow of energy into/out of the battery for EV charging/discharging. An Induction Motor Drive (IMD) with SVPWM is used to operate the induction motor at maximum efficiency while also providing AC residential loads. Finally, a robust ANN controller provides real-time regulation of the DC bus voltage, controls the flow of energy between solar, EV, and the grid, and optimizes the operation of the IMD, resulting in superior dynamic response, stability, and power quality compared to conventional control methodologies. Simulation results in MATLAB demonstrate that the proposed design has better reliability, lower system losses, higher system stability, and better performance than conventional control approaches.