International Journal of Electrical and Computer Engineering (IJECE) Vol.10, No.5, October 2020, pp. 5001~5008 ISSN: 2088-8708, DOI: 10.11591/ijece.v10i5.pp5001-5008  5001 Journal homepage: http://ijece.iaescore.com/index.php/IJECE A modified particle swarm optimization algorithm to enhance MPPT in the PV array Yoganandini A. P. 1 , Anitha G. S. 2 1 Department of Electronics and Communication, Sambhram Institute of Technology, India 2 Department of Electrical and Electronics, R. V. College of Engineering (RVCE), India Article Info ABSTRACT Article history: Received Sep 31, 2019 Revised Apr 11, 2020 Accepted Apr 30, 2020 Due to the growing demand for electrical power, the researchers are trying to fulfill this demand by considering different ways of renewable energy resource as existing energy resources failed to do so. The solar energy from the sun is freely available, and by using photovoltaic (PV) cell power can be generated. However, it depends on rays fall on the PV cell, climatic condition. Thus, to enhance the efficiency of the photovoltaic (PV) systems, maximum power point tracking (MPPT) of the solar arrays is needed. The output of solar arrays mainly depends on solar irradiance and temperature. The mismatch phenomenon takes place due to partial shade, and it causes to the power output, which brings the incorrect operation of traditional MPP tracker. In this shaded condition, PV array exhibits multiple extreme points. In general, under this scenario, the MPPT approaches fail to judge the MPP, and it leads to low efficiency. The conventional approaches of PSO based algorithms can able to track the MPP under shading condition. However, the optimization process leads to issues in tracking speed. Thus, there a need for an efficient MPPT system which can track MPPT effectively in shaded condition? Hence, the proposed manuscript presents a modified particle swarm optimization (PSO) algorithm is introduced to enhance the tracking speed as well as performance. The outcomes of the proposed system are compared with the traditional PSO system and are found that the tracking speed of MPP, accuracy, and efficiency is improved. Keywords: Accuracy Efficiency Maximum power point tracking Partial shading Particle swarm optimization Photovoltaic (PV) system Solar radiations Speed Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Yoganandini A. P., Department of Electronics and Communication, Sambhram Institute of Technology, Bengaluru, India. Email: yoganandinipari@gmail.com 1. INTRODUCTION The traditional energy resources are not able to fulfill the needs of current power demands. Hence, renewable energy sources like solar, wind, geothermal, and ocean are the better options to fulfill the growing power demand [1, 2]. Among these, the power generation with photovoltaic (PV) cell has gained a lot of power has recently experienced rapid growth around the world [3]. Solar energy has the advantages of the pollution-free energy conversion process and low maintenance cost [4]. However, in the developing process of solar energy, a number of problems are eager to be solved. One of the problems, experts in the whole world, focusing on, is that the efficiency of the optimization process of maximum power point tracking [5]. The recent past has witnessed the different MPPT techniques towards enhancing the performance of dynamic as well as steady-state tracking [6]. One of the tracking technology is found in perturb and observe (P&O). But, the partial shading may lead to the mismatch among the components and the aging of the solar panel. In that sense, the traditional techniques are failed to provide optimization at maximum points [7]. In order to overcome this problem, a lot of existing researches were come up with