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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2016 - 3

New String Reconfiguration Technique for Residential Photovoltaic System Generation Enhancement

CORBA, Z. See more information about CORBA, Z. on SCOPUS See more information about CORBA, Z. on IEEExplore See more information about CORBA, Z. on Web of Science, KATIC, V. See more information about  KATIC, V. on SCOPUS See more information about  KATIC, V. on SCOPUS See more information about KATIC, V. on Web of Science, POPADIC, B. See more information about  POPADIC, B. on SCOPUS See more information about  POPADIC, B. on SCOPUS See more information about POPADIC, B. on Web of Science, MILICEVIC, D. See more information about MILICEVIC, D. on SCOPUS See more information about MILICEVIC, D. on SCOPUS See more information about MILICEVIC, D. on Web of Science
 
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Download PDF pdficon (1,607 KB) | Citation | Downloads: 1,092 | Views: 2,618

Author keywords
inverters, photovoltaic systems, simulation, smart grids, solar power generation

References keywords
photovoltaic(17), energy(11), electronics(7), solar(5), power(5), systems(4), shading(4), partial(4), industrial(4), dynamic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 19 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01003
Web of Science Accession Number: 000376995400003
SCOPUS ID: 84960085780

Abstract
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Improvement of photovoltaic (PV) power plant performance under partial shading conditions aiming to increase electrical energy generation is in the focus of this research. This paper proposes the performance optimization of PV power plant under partial shading conditions by new PV string reconfiguration technique. The Matlab/Simulink model is used to simulate the operation of the PV string under partial shading conditions and with the proposed recombination technique. Simulated operational conditions have experimentally been verified by string characteristics measurement on the existing roof-top PV system at the Faculty of Technical Sciences in Novi Sad. Simulation and experimental results showed a high degree of matching, while the obtained values proved that proposed method leads to output power increase and higher PV system generation in PV string operation under partial shading.


References | Cited By  «-- Click to see who has cited this paper

[1] M.Jazayeri, S. Uysal, "A Comparative Study on Different Photovoltaic Array Topologies under Partial Shading Conditions", T&D Conference, 2014 IEEE PES, Chicago, USA, pp. 1-5, 2014.
[CrossRef]


[2] G. Sundar, N. Karthick, S. R. Reddy: "High step-up DC-DC converter for AC photovoltaic module with MPPT control", Journal of Electrical Engineering, vol. 65, issue 4, pp. 248-253, 2014.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


[3] The German Energy Society, "Planning and Installing Photovoltaic Systems", pp. 87-94, Earthscan, London, UK, 2012.

[4] S. Moballegh, J. Jiang: "Modelling, Prediction, and Experimental Validations of Power Peaks of PV Arrays Under Partial Shading Conditions", IEEE Transactions on Sustainable Energy, vol. 5, issue 1, pp. 293-300, 2014.
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[5] E. R. Cadaval, G. Spagnuolo, L. G. Franquelo, C. A. Ramos-Paja, T. Suntio, W. M. Xiao, "Grid-Connected Photovoltaic Generation Plants: Components and Operation", IEEE Industrial Electronics Magazine, vol. 7, no.3, pp. 6-20, 2013.
[CrossRef] [Web of Science Times Cited 333] [SCOPUS Times Cited 388]


[6] G. Spagnuolo, G. Petrone, B. Lehman, R. Paja, Y. Zhao, O. Gutierrez, "Control of Photovoltaic Arrays: Dynamical reconfiguration for fighting mismatched conditions and meeting load requests", IEEE Industrial Electronics Magazine, vol. 9, issue 1, pp. 62-76, 2015.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 73]


[7] Y. Wang, X. Lin, J. Kim, N. Chang, "Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 33, issue 6, pp. 917-930, 2014.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 51]


[8] X. Lin, Y. Wang, S. Yue, D. Shin, "Near-Optimal, Dynamic Module Reconfiguration in a Photovoltaic System to Combat Partial Shading Effects", Design Automation Conference, 49th ACM/EDAC/IEEE, San Francisco, pp. 516-521, 2012.

[9] J. Storey, P. R. Wilson, D. Bagnall, "The Optimized-String Dynamic Photovoltaic Array", IEEE Transactions on Power Electronics, vol. 29, no. 4, pp. 1768-1776, 2014.
[CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 68]


[10] D. Nguyen, B. Lehman: "An adaptive solar photovoltaic array using model-based reconfiguration algorithm", IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2644-2654, 2008.
[CrossRef] [Web of Science Times Cited 288] [SCOPUS Times Cited 369]


[11] P. Romano, R. Candela, M. Cardinale, V. Li Vigni, D. Musso, E. R. Sanseverino: "Optimization of photovoltaic energy production through an efficient switching matrix", Journal of Sustainable Development of Energy, volume 1, issue 3, pp. 227-236, 2013.
[CrossRef] [SCOPUS Times Cited 65]


[12] Jonathan Storey, Peter R. Wilson, Darren Bagnall: "Improved Optimization Strategy for Irradiance Equalization in Dynamic Photovoltaic Arrays", IEEE Transactions on Power Electronics, vol. 28, no. 6, pp. 2946-2956, 2013.
[CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 133]


[13] Jonathan Storey, Peter R. Wilson, Darren Bagnall: "Simulation Platform for Dynamic Photovoltaic Arrays", IEEE Energy Conversion Congress and Expositions (ECCE), Denver, pp. 1617-1622, 2013.
[CrossRef] [SCOPUS Times Cited 4]


[14] Yi-Hua Liu, Jing-Hsiao Chen, Jia-Wei Huang, "Global maximum power point tracking Algorithm for PV systems under partially shaded conditions using the segmentation search method", Solar Energy, Volume 103, pp. 350-363, 2014.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 71]


[15] SMA Solar Technology AG: "Shade management", UEN101210.

[16] B. Barth et al., "PV Grid-Final Project Report 2014", Intelligent Energy Europe - Programme of the European Union, August 2014.

[17] Vladimir Katic, Zoltan Corba, Dragan Milicevic, Boris Dumnic, Bane Popadic, Evgenije Ad┬×ic, "Overview of Solar PV Energy Market in Serbia", PSU-UNS ICET-2013, Novi Sad, Serbia, Paper No. IP-3.1, pp.1-6, May 2013.

[18] K. D. Papastergiou, P. Bakas, S. Norrga, "Photovoltaic string configuration for optimal inverter performance", IEEE 8th International Conference on Power Electronics - ECCE Asia, The Shilla Jeju, Korea, pp. 1632-1636, 2011.
[CrossRef] [SCOPUS Times Cited 2]


[19] PVsyst SA, PVsyst V5.74, Software, Full licensed mode, 2014.

[20] B. Aldwane, "Modeling, simulation and parameters estimation for Photovoltaic module", International conference on Green Energy, Sfax, Tunisia, pp. 101-106, 2014.
[CrossRef] [SCOPUS Times Cited 18]


[21] K. Ding, X. Bian, H. Liu: "Matlab-simulink based modelling to study the influence of non-uniform insolation photovoltaic array", APPEEC, Wuhan, pp. 1-4, 2011.
[CrossRef] [SCOPUS Times Cited 15]


[22] H. Rajendran, R. Ramabadran, R. Sankararajan: "Design and Implementation of PV based Energy Harvester for WSN Node with MAIC algorithm", Advances in Electrical and Computer Engineering, vol. 15, issue 2, pp. 109-116, 2015.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 6]


[23] International Electrotechnical Commission: "Measurement principles for terrestrial photovoltaic solar devices with reference spectral irradiance data", 2nd edition, No. 60904-3, 2008.

[24] Matlab Software R2011a, V 7.12, Full licensed mode.

[25] M. Sechilariu, B. Wang, F. Locment, "Building Integrated Photovoltaic System with Energy Storage and Smart Grid Communication", IEEE Transaction on Industrial Electronics, vol. 60, no 4, pp. 1607-1618, 2013,
[CrossRef] [Web of Science Times Cited 216] [SCOPUS Times Cited 260]




References Weight

Web of Science® Citations for all references: 1,285 TCR
SCOPUS® Citations for all references: 1,653 TCR

Web of Science® Average Citations per reference: 49 ACR
SCOPUS® Average Citations per reference: 64 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2023-06-03 21:10 in 258 seconds.




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Stefan cel Mare University of Suceava, Romania


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