Analysis Of Photovoltaic Arrayunder Various Conditions

Abstract

This paper is about Distinctive Feed Forward Propagation (DFFP) techniques. In this technique the Particle Swarm Optimization (PSO) is due to high potential and simple structure, easy to develop, and fast working condition. PSO is  aboutany environmental change to detect any photovoltaic (PV) curve of MPP. Recognizing these benefits, to improve Maximum Power Point (MPP) monitoring various researchers have used this method. Although the possibility of the PSO method reaches peak global under shading conditions, its optimal working area convergence is not always guaranteed. In order to take full advantage of this, an advanced Maximum Power Point Tracking (MPPT) method with hybrid PA algorithm is used. The main feature of the proposed system is that there is no relaxation imbalance in the MPP. It can monitor environmental conditions where the MPP is peak, for example, receiving load through sunlight and local shadows. It has a faster tracking speed compared to other conventional MPPT techniques. In addition, the algorithm is simple and can be calculated very quickly; therefore, its implementation can be done using a low-cost controller