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

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


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  3/2022 - 8

Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFIS

KALVINATHAN, V. See more information about KALVINATHAN, V. on SCOPUS See more information about KALVINATHAN, V. on IEEExplore See more information about KALVINATHAN, V. on Web of Science, CHITRA, S. See more information about CHITRA, S. on SCOPUS See more information about CHITRA, S. on SCOPUS See more information about CHITRA, S. on Web of Science
 
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Download PDF pdficon (2,067 KB) | Citation | Downloads: 636 | Views: 1,141

Author keywords
performance analysis, hybrid system, power management, photo voltaic, fuel cell

References keywords
energy(16), system(12), power(12), hybrid(12), cell(12), fuel(11), solar(8), control(8), management(7), voltage(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 69 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03008
Web of Science Accession Number: 000861021000008
SCOPUS ID: 85137716444

Abstract
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The integration of renewable energy sources is challenging now-a-days because of intermittent nature of solar radiation. Particularly in hybrid renewable energy system, it is required to incorporate an intelligent control algorithm to optimize the time duration at transient condition and also ensures the stable operation. This paper is aimed at integrating hybrid renewable energy system includes partial shaded solar photovoltaic system and Proton Exchange Membrane Fuel Cell (PEMFC) at constant temperature to supply the stand-alone DC load. Due to the dynamic DC source, an Energy Management System (EMS) is used to get the stable output. The system includes interleaving soft switching boost converters (SSBC's) is controlled by combined Slide Mode Controller with trained Artificial Neuro Fuzzy System (SMC-ANFIS). The proposed Hybrid system is modeled and simulated using MATLAB Simulink platform. The tested parameters are obtained in terms of voltage, current, power, speed, and torque. The simulated result of proposed system with SMC-ANFIS-EMS is compared with conventional SMC-EMS and SMC-ANN-EMS to obtain optimal output. From the performance analysis, the SMC-ANFIS-EMS provides better output and control.


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

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[2] C. Ghenai, M. Bettayeb, "Grid-tied solar PV/fuel cell hybrid power system for university building," Energy Procedia, Vol. 159, pp. 96-103, Feb. 2019.
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[3] N. S. Jayalakshmi, J. N. Sabhahit, D. N. Gaonkar, P. B. Nempu, "Integrated power flow and voltage regulation of stand-alone PV-fuel cell system with super capacitors," International Journal of Power and Energy Systems, vol. 37, no. 1, pp. 1-9, Aug. 2017.
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[CrossRef] [Web of Science Times Cited 179] [SCOPUS Times Cited 216]


[5] S. Rehman, Md. Mahbub Alam, J. P. Meyer, L. M. Al-Hadhrami, "Feasibility study of a wind/PV/diesel hybrid power system for a village," Renewable Energy, vol. 38, no. 1, pp. 258-268, Feb. 2012.
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[CrossRef] [Full Text] [SCOPUS Times Cited 4]


[7] A. Sfirat, A. Gontean, S. Bularka, "New method for MPPT algorithm implementation and testing, suitable for photovoltaic cells," Advances in Electrical and Computer Engineering, vol. 18, no.3, pp. 53-60, Aug. 2018.
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[CrossRef] [Full Text] [Web of Science Times Cited 9] [SCOPUS Times Cited 10]


[12] F. Cingoz, A. Elrayyah, Y. Sozer, "Optimized resource management for PV-fuel-cell-based microgrids using load characterizations," IEEE Transactions on Industry Applications, vol. 52, no. 2, pp. 1723-1735, Mar 2016.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 32]


[13] P. Thounthong, A. Luksanasakul, P. Koseeyaporn, B. Davat, "Intelligent model-based control of a standalone photovoltaic/fuel cell power plant with supercapacitor energy storage," IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 240-249, Jan 2013.
[CrossRef] [Web of Science Times Cited 108] [SCOPUS Times Cited 143]


[14] R. Sharma, S. Mishra, "Dynamic power management and control of a PV PEM fuel-cell-based Standalone AC/DC microgrid using hybrid energy storage," IEEE Transactions on Industry Applications, vol. 54, no. 1, pp. 526-538, Jan. 2018.
[CrossRef] [Web of Science Times Cited 139] [SCOPUS Times Cited 178]


[15] U. Raveendran Nair, R. Costa Castello, "A model predictive control-based energy management scheme for hybrid storage system in islanded microgrids," IEEE, vol. 8, pp. 97809-97822, May. 2020.
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[16] S. Babu, L. Ashok Kumar, "Voltage controller with energy management unit for microgrid with hybrid sources," Energy Exploration & Exploitation, vol. 39, no. 3, pp. 1-24, Jun. 2021.
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[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 95]


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[25] Y. K. Renani. B. Vahidi, H. A. Abyaneh, "Effects of photovoltaic and fuel cell hybrid system on distribution network considering the voltage limits," Advances in Electrical and Computer Engineering, vol. 10, no. 4, pp. 143-148, Nov. 2010.
[CrossRef]x [Web of Science Times Cited 179] [SCOPUS Times Cited 216]




References Weight

Web of Science® Citations for all references: 1,507 TCR
SCOPUS® Citations for all references: 1,865 TCR

Web of Science® Average Citations per reference: 58 ACR
SCOPUS® Average Citations per reference: 72 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 2024-07-14 03:02 in 173 seconds.




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