Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform

Sergiu Spataru; Anastasios Amoiridis; Remus Narcis Beres; Catalin-Iosif Ciontea; Theo Klein; Dezso Sera

doi:10.1109/PVSC.2013.6745084

Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform

Sergiu Spataru, Anastasios Amoiridis, Remus Narcis Beres, Catalin-Iosif Ciontea, Theo Klein, Dezso Sera

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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1044 Downloads (Pure)

Abstract

The performance of photovoltaic systems is often reduced by the presence of partial shadows. The system efficiency and availability can be improved by a maximum power point tracking algorithm that is able to detect partial shadow conditions and to optimize the power output. This work proposes an intelligent maximum power point tracking method that monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, therefore minimizing power loss due to repeated current-voltage sweeps. The proposed system is validated on an advanced, flexible photovoltaic inverter system test platform that is able to reproduce realistic partial shadow conditions, both in simulation and on hardware test system.

Originalsprog	Engelsk
Titel	Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC) : PVSC
Antal sider	6
Forlag	IEEE Press
Publikationsdato	2013
Sider	2953-2958
ISBN (Elektronisk)	978-1-4799-3299-3
DOI	https://doi.org/10.1109/PVSC.2013.6745084
Status	Udgivet - 2013
Begivenhed	39th IEEE Photovoltaic Specialist Conference - Tampa, Florida, USA Varighed: 16 jun. 2013 → 21 jun. 2013

Konference

Konference	39th IEEE Photovoltaic Specialist Conference
Land/Område	USA
By	Tampa, Florida
Periode	16/06/2013 → 21/06/2013

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Citationsformater

@inproceedings{efdbc0ccdc184aa0ae865017578a23fd,

title = "Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform",

abstract = "The performance of photovoltaic systems is often reduced by the presence of partial shadows. The system efficiency and availability can be improved by a maximum power point tracking algorithm that is able to detect partial shadow conditions and to optimize the power output. This work proposes an intelligent maximum power point tracking method that monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, therefore minimizing power loss due to repeated current-voltage sweeps. The proposed system is validated on an advanced, flexible photovoltaic inverter system test platform that is able to reproduce realistic partial shadow conditions, both in simulation and on hardware test system.",

keywords = "Diagnostics, Fault Detection, Maximum Power Point Tracking, partial shading, Photovoltaic systems",

author = "Sergiu Spataru and Anastasios Amoiridis and Beres, {Remus Narcis} and Catalin-Iosif Ciontea and Theo Klein and Dezso Sera",

year = "2013",

doi = "10.1109/PVSC.2013.6745084",

language = "English",

pages = "2953--2958 ",

booktitle = "Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC)",

publisher = "IEEE Press",

note = "39th IEEE Photovoltaic Specialist Conference ; Conference date: 16-06-2013 Through 21-06-2013",

}

Spataru, S, Amoiridis, A, Beres, RN, Ciontea, C-I, Klein, T & Sera, D 2013, Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform. i Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC): PVSC. IEEE Press, s. 2953-2958 , 39th IEEE Photovoltaic Specialist Conference, Tampa, Florida, USA, 16/06/2013. https://doi.org/10.1109/PVSC.2013.6745084

Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform. / Spataru, Sergiu; Amoiridis, Anastasios; Beres, Remus Narcis et al.
Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC): PVSC. IEEE Press, 2013. s. 2953-2958 .

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform

AU - Spataru, Sergiu

AU - Amoiridis, Anastasios

AU - Beres, Remus Narcis

AU - Ciontea, Catalin-Iosif

AU - Klein, Theo

AU - Sera, Dezso

PY - 2013

Y1 - 2013

N2 - The performance of photovoltaic systems is often reduced by the presence of partial shadows. The system efficiency and availability can be improved by a maximum power point tracking algorithm that is able to detect partial shadow conditions and to optimize the power output. This work proposes an intelligent maximum power point tracking method that monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, therefore minimizing power loss due to repeated current-voltage sweeps. The proposed system is validated on an advanced, flexible photovoltaic inverter system test platform that is able to reproduce realistic partial shadow conditions, both in simulation and on hardware test system.

AB - The performance of photovoltaic systems is often reduced by the presence of partial shadows. The system efficiency and availability can be improved by a maximum power point tracking algorithm that is able to detect partial shadow conditions and to optimize the power output. This work proposes an intelligent maximum power point tracking method that monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, therefore minimizing power loss due to repeated current-voltage sweeps. The proposed system is validated on an advanced, flexible photovoltaic inverter system test platform that is able to reproduce realistic partial shadow conditions, both in simulation and on hardware test system.

KW - Diagnostics

KW - Fault Detection

KW - Maximum Power Point Tracking

KW - partial shading

KW - Photovoltaic systems

U2 - 10.1109/PVSC.2013.6745084

DO - 10.1109/PVSC.2013.6745084

M3 - Article in proceeding

SP - 2953

EP - 2958

BT - Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC)

PB - IEEE Press

T2 - 39th IEEE Photovoltaic Specialist Conference

Y2 - 16 June 2013 through 21 June 2013

ER -

Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test Platform

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