Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison

Global maximum power point tracking (GMPPT) refers to the extraction of the maximum power from photovoltaic (PV) modules in real time under changing ambient conditions. Due to the installation of PV systems in densely built-up areas, partial shading scenarios are commonplace. Commercially establishe...

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Main Authors: Pallavi Bharadwaj, Vinod John
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9395445/
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spelling doaj-0803f77b8071481db096b2345e4198c92021-04-12T23:01:04ZengIEEEIEEE Access2169-35362021-01-019536025361610.1109/ACCESS.2021.30711369395445Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power ComparisonPallavi Bharadwaj0https://orcid.org/0000-0001-8263-5875Vinod John1https://orcid.org/0000-0002-0166-3004Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USADepartment of Electrical Engineering, Indian Institute of Science, Bengaluru, IndiaGlobal maximum power point tracking (GMPPT) refers to the extraction of the maximum power from photovoltaic (PV) modules in real time under changing ambient conditions. Due to the installation of PV systems in densely built-up areas, partial shading scenarios are commonplace. Commercially established GMPPTs suffer from low tracking speeds and inefficiency. A novel GMPPT algorithm is proposed here based on the rectangular power comparison (RPC), which exploits the fundamental relationship between the shading factor, the bypass diode voltage and the global maximum power point. The entire theoretical formulation of RPC is presented systematically for the first time. This method boasts of increased conversion speeds owing to the precomputation of the module voltage versus the shading factor correlations using the regression of diode model from the experimentally obtained bypass diode characteristics. The proposed method is simple to implement with the computational complexity of order <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>, which represents the number of uniquely shaded PV modules in a series string. The proposed approach addresses the much-needed intersection problem between the distributed and centralized PV systems and therefore targets PV strings which are most common in residential and small to medium scale commercial PV installations world over. The proposed approach is validated with the in-house developed prototype hardware set-up and software control implementation giving a 99&#x0025; tracking efficiency with a recorded tracking time of 10 ms. The experimental results show 50 times improvement in speed and 95&#x0025; increase in power gain as compared to the other popular existing methods namely scanning based GMPPT and local MPPT methods respectively, with negligible computational burden and less than 0.5&#x0025; added cost to the conventional PV energy conversion system.https://ieeexplore.ieee.org/document/9395445/Efficiency optimizationglobal maximum power point trackingpartial shadingphotovoltaic module measurementssolar energy conversion
collection DOAJ
language English
format Article
sources DOAJ
author Pallavi Bharadwaj
Vinod John
spellingShingle Pallavi Bharadwaj
Vinod John
Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
IEEE Access
Efficiency optimization
global maximum power point tracking
partial shading
photovoltaic module measurements
solar energy conversion
author_facet Pallavi Bharadwaj
Vinod John
author_sort Pallavi Bharadwaj
title Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
title_short Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
title_full Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
title_fullStr Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
title_full_unstemmed Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison
title_sort optimized global maximum power point tracking of photovoltaic systems based on rectangular power comparison
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Global maximum power point tracking (GMPPT) refers to the extraction of the maximum power from photovoltaic (PV) modules in real time under changing ambient conditions. Due to the installation of PV systems in densely built-up areas, partial shading scenarios are commonplace. Commercially established GMPPTs suffer from low tracking speeds and inefficiency. A novel GMPPT algorithm is proposed here based on the rectangular power comparison (RPC), which exploits the fundamental relationship between the shading factor, the bypass diode voltage and the global maximum power point. The entire theoretical formulation of RPC is presented systematically for the first time. This method boasts of increased conversion speeds owing to the precomputation of the module voltage versus the shading factor correlations using the regression of diode model from the experimentally obtained bypass diode characteristics. The proposed method is simple to implement with the computational complexity of order <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>, which represents the number of uniquely shaded PV modules in a series string. The proposed approach addresses the much-needed intersection problem between the distributed and centralized PV systems and therefore targets PV strings which are most common in residential and small to medium scale commercial PV installations world over. The proposed approach is validated with the in-house developed prototype hardware set-up and software control implementation giving a 99&#x0025; tracking efficiency with a recorded tracking time of 10 ms. The experimental results show 50 times improvement in speed and 95&#x0025; increase in power gain as compared to the other popular existing methods namely scanning based GMPPT and local MPPT methods respectively, with negligible computational burden and less than 0.5&#x0025; added cost to the conventional PV energy conversion system.
topic Efficiency optimization
global maximum power point tracking
partial shading
photovoltaic module measurements
solar energy conversion
url https://ieeexplore.ieee.org/document/9395445/
work_keys_str_mv AT pallavibharadwaj optimizedglobalmaximumpowerpointtrackingofphotovoltaicsystemsbasedonrectangularpowercomparison
AT vinodjohn optimizedglobalmaximumpowerpointtrackingofphotovoltaicsystemsbasedonrectangularpowercomparison
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