Novel Applications of Soft Computing Techniques for Comparative Analysis of Maximum Power Point Tracking in Solar Photo-Voltaic System Under Perturb Conditions

Maximum Power Point Tracking (MPPT) is a control technique for the dynamic optimization of power production by a Solar Photo-voltaic (SPV) module. MPPT is useful not only in SPV applications but also whenever the power produced using the power source must be maximized regardless of some unmanageable parameters. In this chapter, different MPPT techniques such as Perturb and Observe (P&O), Fuzzy Logic (FL), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS) have been designed in MATLABTM/SIMULINKTM environment for proposed SPV system. Simulation results have been carried out to record the tracking performance of MPPT controllers by introducing changes in the solar radiations. It is found that the proposed model using ANFIS-based MPPT controller gives better performance as compared to other specified MPPT controllers.