Simplified Particle Swarm Optimization Cuddleded MPPT Scheme For Partial Shaded Standalone PV System

Abstract

In Renewable Energy (RE) system, the Solar Photovoltaic (SPV) energy system is a fast developing and eco friendly energy conversion system, the improvement of renewable energy system owed to diminish fossil fuel and environmental pollution. The power capacity of SPV energy system is low and the high cost associated to installation, the result for cost effectiveness SPV modulator and its controller design continuously developed for high power harvesting with efficiency. This paper illustrates an overview of Simplified Particle Swarm Optimization (SPSO) technique and illustrates problem of tracking peak power from partially shaded PV panels. In partially shaded system, there are many peaks points indentified in the P-I characteristics curves of the PV panels. This work suggest a method for identify the exact peak among the many power peaks by the use of SPSO algorithm. To validate proposed system simulate by using Simplified Particle Swarm Optimization (SPSO) which contain solar PV-array model, dc-dc buck/boost converter and R load.  Proposed Simplified Particle Swarm Optimization (SPSO) system eliminates the random numbers in the velocity factor to calculate velocity function. The maximum velocity factor changes are limited to a particular value.

                     The proposed system validated by simulation using SIMULINK package in Matlab. The results proved that SPSO algorithm proposed for MPPT provide good performance to converge the correct Global Peak (GP) power with partially shaded MPPT PV solar system.