A Research Study and Comparative Analysis of MPPT Controllers for PV Cells with Algorithmatic Structures

Due to continues increase in usage of various sources of Energies, Solar energy becomes very popularsource of renewable energy due to its several advantages. Systems such as Photovoltaic (PV) power systemshave been widely used in many applications of generation and utilization of energy in many countries. Butalso, there are many urgent problems to cop up with the applications of PV Cells for the purpose of PowerGeneration and in the power systems such as low efficiency, high cost etc. The main Concentration is to howto improve efficiency. Since generally Photovoltaic (PV) arrays exhibit a nonlinear power–voltage (P–V)characteristic curve which have a variation with isolation and temperature. To achieve good efficiency,Maximum Power Point Tracking (MPPT) is a very important technology. There are various conventional MPPTschemes have been proposed and working on including Hill-Climbing (HC) , Perturb and Observe (P&O) , andIncremental Conductance (INC) etc. In this research work, the optimization methods for efficient trackingsuch as PSO and GSA are explored. The very essential and considered issue of this type of control (MPPT) isto how to achieve the best optimized status and this can be achieved by using evolutionary algorithms. PSOalgorithm owns the characteristics methods like parallel processing, good robustness, and high probability offinding global optimal solution. By adding GSA with PSO ,it can be improved. Advantage of adding proposedGSAPSO algorithm greatly shortens the searching time, helpful in reducing the fluctuation of output waveformand thus improves the optimization and efficiency through particles dormancy and activation control, optimalnumber of particles algorithm and search sequence selection. It achieves a smooth starting for maximumpower and achieves it in less time than the widely used other methods.