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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

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  1/2022 - 3

 HIGHLY CITED PAPER 

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage

HIVZIEFENDIC, J. See more information about HIVZIEFENDIC, J. on SCOPUS See more information about HIVZIEFENDIC, J. on IEEExplore See more information about HIVZIEFENDIC, J. on Web of Science, VUIC, L. See more information about  VUIC, L. on SCOPUS See more information about  VUIC, L. on SCOPUS See more information about VUIC, L. on Web of Science, LALE, S. See more information about  LALE, S. on SCOPUS See more information about  LALE, S. on SCOPUS See more information about LALE, S. on Web of Science, SARIC, M. See more information about SARIC, M. on SCOPUS See more information about SARIC, M. on SCOPUS See more information about SARIC, M. on Web of Science
 
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Download PDF pdficon (1,974 KB) | Citation | Downloads: 802 | Views: 1,777

Author keywords
battery management systems, fuzzy logic, maximum power point trackers, photovoltaic systems, voltage control

References keywords
power(15), mppt(13), systems(10), energy(10), control(9), system(6), point(6), maximum(6), tracking(5), techniques(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-02-28
Volume 22, Issue 1, Year 2022, On page(s): 21 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.01003
Web of Science Accession Number: 000762769600004
SCOPUS ID: 85126755723

Abstract
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To provide a stable operation of a standalone microgrid based on the photovoltaic system in the most efficient way, various mechanisms and control strategies need to be engaged simultaneously. Modeling, simulation, and analysis of the microgrid system composed of PV generator, battery energy storage system (BESS), and DC/AC converter are presented in the paper. The PV generator operates in maximum power point (MPP) mode, while the BESS is deployed to enable power flow between the storage and consumers using the charge/discharge cycle of the battery. The maximum power point tracking (MPPT) control at the PV side, combined with battery control, is obtained by Perturb and Observe (P&O) and Fuzzy Logic Control (FLC) algorithms. Simulation based voltage control strategy is performed by using both DC/DC buck-boost converter and DC/AC converter with aim to obtain stable voltage for different power inputs. Modeling and simulations are performed in MATLAB/Simulink software. It is demonstrated that proposed methods ensure a stable microgrid operation and PV system operation in MPP mode. Both MPPT algorithms, P&O and FLC, provided accurate responses with very high efficiency above 95%.


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

[1] L. Bandic, J. Hivziefendic, M. Saric, and M. Tesanovic, "Voltage regulation of PV system with MPPT and battery storage in microgrid," in 2020 International Conference on Smart Systems and Technologies (SST), Osijek, Croatia, Oct. 2020, pp. 161-166.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 4]


[2] S. Adhikari and F. Li, "Coordinated V-f and P-Q control of solar photovoltaic generators with MPPT and battery storage in microgrids," IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1270-1281, May 2014.
[CrossRef] [Web of Science Times Cited 236] [SCOPUS Times Cited 312]


[3] M. Saric, J. Hivziefendic, and L. Bandic, "Analysis and control of DG influence on voltage profile in distribution network," in M. Hadzikadic and S. Avdakovic, (Eds) Advanced Technologies, Systems, and Applications II, vol. 28, Cham: Springer International Publishing, 2018, pp. 30-43.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 4]


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[CrossRef] [Web of Science Times Cited 246] [SCOPUS Times Cited 311]


[5] H. Bounechba, A. Bouzid, H. Snani, and A. Lashab, "Real time simulation of MPPT algorithms for PV energy system," Int. J. Electr. Power Energy Syst., vol. 83, pp. 67-78, Dec. 2016.
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[6] A. Ravi1, J. Shameema Sulthana, R. Satheesh, and R. Aandal, "Conventional maximum power point tracking techniques for solar photo voltaic systems: A concise review," J. Crit. Rev., vol. 7, no. 06, Apr. 2020.
[CrossRef] [SCOPUS Times Cited 4]


[7] Y.-H. Liu, J.-H. Chen, and J.-W. Huang, "A review of maximum power point tracking techniques for use in partially shaded conditions," Renew. Sustain. Energy Rev., vol. 41, pp. 436-453, Jan. 2015.
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[CrossRef] [SCOPUS Times Cited 11]


[12] S. A. Oliveira da Silva, L. P. Sampaio, F. Marcos de Oliveira, and F. R. Durand, "Feed-forward DC-bus control loop applied to a single-phase grid-connected PV system operating with PSO-based MPPT technique and active power-line conditioning," IET Renew. Power Gener., vol. 11, no. 1, pp. 183-193, Jan. 2017.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 54]


[13] E. Radwan, M. Nour, E. Awada, and A. Baniyounes, "Fuzzy logic control for low-voltage ride-through single-phase grid-connected PV Inverter," Energies, vol. 12, no. 24, p. 4796, Dec. 2019.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 17]


[14] J. P. Ram, T. S. Babu, and N. Rajasekar, "A comprehensive review on solar PV maximum power point tracking techniques," Renew. Sustain. Energy Rev., vol. 67, pp. 826-847, Jan. 2017.
[CrossRef] [Web of Science Times Cited 286] [SCOPUS Times Cited 389]


[15] D. Haji and N. Genc, "Fuzzy and P&O based MPPT controllers under different conditions," in 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), Paris, Oct. 2018, pp. 649-655.
[CrossRef] [SCOPUS Times Cited 59]


[16] S. Makhloufi and S. Mekhilef, "Logarithmic PSO based global/local maximum power point tracker for partially shaded photovoltaic systems," IEEE J. Emerg. Sel. Top. Power Electron., pp. 1-1, 2021.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 37]


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[18] P. Wang, C. Jin, D. Zhu, Y. Tang, P. C. Loh, and F. H. Choo, "Distributed control for autonomous operation of a three-port AC/DC/DS hybrid microgrid," IEEE Trans. Ind. Electron., vol. 62, no. 2, pp. 1279-1290, Feb. 2015.
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[19] J. Hu, Y. Shan, Y. Xu, and J. M. Guerrero, "A coordinated control of hybrid ac/dc microgrids with PV-wind-battery under variable generation and load conditions," Int. J. Electr. Power Energy Syst., vol. 104, pp. 583-592, Jan. 2019.
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[CrossRef]


[21] B. Das, A. Jamatia, A. Chakraborti, P. R. Kasari, and M. Bhowmik, "New Perturb and Observe MPPT algorithm and its validation using data from PV module," vol. 4, no. 1, p. 13

[22] A. Skamo, M. Saric, and L. Vuic, "Comparison of different maximum power point tracking algorithms," in Advanced Technologies, Systems, and Applications VI, vol. 316, N. Ademovic, E. Mujcic, Z. Aksamija, J. Kevric, S. Avdakovic, and I. Volic, Eds. Cham: Springer International Publishing, 2022, pp. 117-132.
[CrossRef] [SCOPUS Times Cited 1]


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[CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 95]


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[CrossRef] [Web of Science Times Cited 168] [SCOPUS Times Cited 265]


[25] M. S. Nkambule, A. N. Hasan, and A. Ali, "MPPT under partial shading conditions based on Perturb & Observe and Incremental Conductance," in 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, Nov. 2019, pp. 85-90.
[CrossRef] [SCOPUS Times Cited 14]


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[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]




References Weight

Web of Science® Citations for all references: 1,808 TCR
SCOPUS® Citations for all references: 3,499 TCR

Web of Science® Average Citations per reference: 67 ACR
SCOPUS® Average Citations per reference: 130 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 2024-04-18 22:11 in 147 seconds.




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