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

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

1043 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.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC) : PVSC
Number of pages	6
Publisher	IEEE Press
Publication date	2013
Pages	2953-2958
ISBN (Electronic)	978-1-4799-3299-3
DOIs	https://doi.org/10.1109/PVSC.2013.6745084
Publication status	Published - 2013
Event	39th IEEE Photovoltaic Specialist Conference - Tampa, Florida, United States Duration: 16 Jun 2013 → 21 Jun 2013

Conference

Conference	39th IEEE Photovoltaic Specialist Conference
Country/Territory	United States
City	Tampa, Florida
Period	16/06/2013 → 21/06/2013

Keywords

Diagnostics
Fault Detection
Maximum Power Point Tracking
partial shading
Photovoltaic systems

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Development of an Intelligent Maximum Power Point Tracker Using an Advanced PV System Test PlatformSubmitted manuscript, 596 KB

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@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. in Proceedings of the 2013 IEEE 39th Photovoltaic Specialist Conference (PVSC): PVSC. IEEE Press, pp. 2953-2958 , 39th IEEE Photovoltaic Specialist Conference, Tampa, Florida, United States, 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. p. 2953-2958 .

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

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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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Conference

Keywords

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