Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Call For Paper : Vol 12, Issue 03, March 2025

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Comparative study of MPPT Control by Intelligence Techniques

Author : Ruchira Aglawe 1 Divya Mangate 2 S.R.Gawande 3

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Date of Publication :30th March 2018

Abstract: MPPT control is an important feature to extract the maximum solar power. It varies depending on the angle of sunlight on the surface of the panel and cell temperature.Maximum power point tracking (MPPT) methods are used to get a maximum output power of PV array. By tracking continuously, to get the maximum power, various intelligent methods have been proposed by various authors has got the most expected results.This paper focused on the work carried out by using different algorithms and flowchart.This study reveals that, among all intelligent methods for MPPT control ,perturb and observe (P & O) method is prominently used because of its simplicity and ease of implementation, though it gives slow response of speed and oscillations in steady state.

Reference :

    1. S.Malika, R.Saravanakumar “Gnetic Algorithm Based Mppt Controller For Photovoltaic System”,International Electrical Engineering Journal (Ieej) Vol.4(2013) No.4,Pp.1159-1164.
    2. Alok Kumar, Amit Kumar, Ranjana Arora “Overview Of Genetic Algorithm Technique For Maximum Power Point Tracking (Mppt) Of Solar Pv System”, International Gournal Of Computer Application(0975-8887),Innovation In Computing And Information Technology (Cognition 2015).

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