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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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PUBLISHER

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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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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: 763 | Views: 1,661

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.


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Cited-By CrossRef

[1] A Single Source Hybrid Nine-Level Multilevel Inverter with Extension Topology, SANTHOSH KUMAR, K. V., DHEEPANCHAKKRAVARTHY, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 23, 2023.
Digital Object Identifier: 10.4316/AECE.2023.02009
[CrossRef] [Full text]

[2] Comparison of Control Configurations and MPPT Algorithms for Single-Phase Grid-Connected Photovoltaic Inverter, PRASATSAP, U., NERNCHAD, N., TERMRITTHIKUN, C., SRITA, S., KAEWCHUM, T., SOMKUN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 23, 2023.
Digital Object Identifier: 10.4316/AECE.2023.02007
[CrossRef] [Full text]

[3] Simulation and Analysis of Optimal Power Injection System Based on Intelligent Controller, Assaf, Abdullah Sami, Kurnaz, Sefer, International Journal of Electrical and Electronics Research, ISSN 2347-470X, Issue 1, Volume 12, 2024.
Digital Object Identifier: 10.37391/IJEER.120140
[CrossRef]

[4] SMC Algorithms in T-Type Bidirectional Power Grid Converter, SawiƄski, Albert, Chudzik, Piotr, Tatar, Karol, Energies, ISSN 1996-1073, Issue 12, Volume 17, 2024.
Digital Object Identifier: 10.3390/en17122970
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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