Efficiency Improvement Strategies for Solar Photovoltaic Systems Using Soft Computing Based Maximum Power Point Tracking System

Abstract

vii newlineABSTRACT newlinePhotovoltaic (PV) systems that use sunlight to generate electricity have recently newlinecome to the forefront as a promising and long-term renewable energy option. But newlinepartial shadowing can significantly impact PV system performance by causing a newlinepower output imbalance between individual solar modules. In order to maximize the newlineamount of energy that PV systems can harvest, algorithms that track the maximum newlinepower point tracking (MPPT) are essential. Beginning with an examination of how newlinepartial shading impacts PV system performance generally, this research zeroes in on newlineimproving the MPPT efficiency in partially shaded PV systems using an enhanced newlineCuckoo Search Algorithm (CSA). Partial shadowing by clouds, trees, or surrounding newlinebuildings is only one of the many shading scenarios covered. Finding the actual newlinemaximum power point (MPP) might be difficult due to the fact that partial shade can newlinecause a global MPP in addition to several local ones. An enhanced CSA is suggested newlineas a solution to this problem. The CSA is renowned for its capacity to discover the newlineglobal optimum of any given issue; it draws inspiration from the foraging behavior newlineof cuckoo birds. Traditional CSA has a few drawbacks, though, such a poor newlineconvergence speed and premature convergence. Consequently, in order to improve newlineits effectiveness and get beyond these restrictions, this research brings new changes newlineto the classic CSA. In PV systems that are partially shaded, the MPPT problem is newlinetackled using the enhanced CSA. In order to efficiently converge to the global MPP, newlinethe algorithm employs an adaptive step-size adjustment method to find a balance newlinebetween exploration and exploitation. To further aid in exploring the search space newlineand avoid the algorithm being stuck in local optima, a dynamic searching method is newlinealso used. Through the use of a partially shaded PV system simulation, the suggested newlinemethod is contrasted with two other well-known MPPT algorithms, Perturb and newlineObserve (PandO) and Incremental Conductance (IncCond). Several criteria, including newlinetr