This paper proposes a method of maximum power point tracking using Quantum behaved particle swarm optimization (QPSO) for grid-connected photovoltaic systems. It demonstrates PV. This paper presents an adaptive Maximum Power Point Tracking (MPPT) strategy for grid-connected photovoltaic (PV) systems that uses an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Particle Swarm Optimization (PSO) to enhance energy extraction efficiency under diverse environmental. This paper presents an intelligent Maximum Power Point Tracking (MPPT) control strategy for grid-connected photo-voltaic (PV) systems, based on the integration of Artificial Neural Networks (ANN) and Model Predictive Control (MPC).