Novel fast dynamic MPPT (maximum power point tracking) technique with the capability of very high accurate power tracking
Hassan Fathabadi
Energy, 2016, vol. 94, issue C, 466-475
Abstract:
In this paper, a novel maximum power point tracking (MPPT) technique is proposed to track the maximum power point (MPP) of photovoltaic (PV) systems. The proposed MPPT scheme concurrently uses PV voltage and current deviations to find the MPP of a PV module/array/panel under every condition. A PV system has been built to implement the proposed MPPT technique as a MPPT controller, and experimental results obtained under standard test condition (STC), uniform and non-uniform shading conditions, and partial shading conditions are presented that explicitly validate theoretical results. A comparative study together with real experimental results obtained under STC verify that the proposed MPPT technique has a dynamic response with the shortest convergence time of 12 ms and the highest MPPT efficiency more than 99.6% compared to other MPPT techniques. Static-dynamic response obtained experimentally under uniform and non-uniform shading conditions again verifies that the method has a very fast high accurate dynamic response with the MPPT efficiency more than 99.6%. It is also experimentally shown that the proposed technique high accurately tracks the global maximum power point (GMPP) under partial shading conditions, so that, the MPPT efficiency is again more than 99.6%, and the convergence time is less than 140 ms.
Keywords: Maximum power point tracking (MPPT); Maximum power point (MPP); Photovoltaic (PV); Convergence time; MPPT efficiency (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421501511X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:94:y:2016:i:c:p:466-475
DOI: 10.1016/j.energy.2015.10.133
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().