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Maximum Power Point Tracking Methods for PV Systems

Citation

Lyden, S and Haque, ME and Mahmud, MA, Maximum Power Point Tracking Methods for PV Systems, Advances in Solar Photovoltaic Power Plants, Springer-Verlag, MR Islam, F Rahman and W Xu (ed), Berlin, pp. 79-105. ISBN 978-3-662-50519-9 (2016) [Other Book Chapter]

Copyright Statement

Copyright 2016 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/978-3-662-50521-2_4

Abstract

Maximum power point tracking (MPPT) is an important consideration in photovoltaic (PV) systems. These systems exhibit variable nonlinear current–voltage (I–V) and power–voltage (P–V) characteristics which vary with environmental conditions. The optimum operation of a PV system occurs when the system operates at the unique maximum power point (MPP) for the given environmental conditions. Key environmental conditions include the irradiance on the cell, temperature of the cell and any shading phenomenon. Shading can occur due to objects, dust or dirt and module mismatch arising from damage or manufacturing tolerances. These shading effects introduce further nonlinearity into the I–V and P–V characteristics of the system. An extensive variety of MPPT techniques has been proposed which vary from simple estimation techniques to advanced tracking techniques. In this chapter, the criteria for assessing the performance of MPPT methods are defined followed by a complete description and discussion of both techniques designed for uniform environmental conditions and those designed for non-uniform environmental conditions.

Item Details

Item Type:Other Book Chapter
Keywords:maximum power point tracking, photovoltaic systems. partial shading conditions, renewable energy
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Mining and Extraction of Energy Resources
Objective Field:Mining and Extraction of Energy Resources not elsewhere classified
Author:Lyden, S (Dr Sarah Lyden)
ID Code:111741
Year Published:2016
Deposited By:Engineering
Deposited On:2016-10-05
Last Modified:2017-08-31
Downloads:0

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