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JCR Impact Factor: 0.800
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SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
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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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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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  4/2021 - 10

Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid

IGNAT-BALACI, A. See more information about IGNAT-BALACI, A. on SCOPUS See more information about IGNAT-BALACI, A. on IEEExplore See more information about IGNAT-BALACI, A. on Web of Science, SZILAGYI, E. See more information about  SZILAGYI, E. on SCOPUS See more information about  SZILAGYI, E. on SCOPUS See more information about SZILAGYI, E. on Web of Science, PETREUS, D. See more information about PETREUS, D. on SCOPUS See more information about PETREUS, D. on SCOPUS See more information about PETREUS, D. on Web of Science
 
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Download PDF pdficon (2,908 KB) | Citation | Downloads: 690 | Views: 1,038

Author keywords
distributed power generation, energy management, microgrids, optimization, scheduling

References keywords
energy(27), microgrid(19), management(12), power(11), simulation(10), technology(7), petreus(7), real(6), microgrids(6), isse(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 89 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04010
Web of Science Accession Number: 000725107100010
SCOPUS ID: 85122268933

Abstract
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This paper presents the operating cost optimization of an islanded microgrid through day-ahead scheduling. The results are validated using simulations and experiments. The cost optimization is achieved using 3 methods, 2 of which are general ones, Harmony Search Algorithm and Particle Swarm Optimization, and one, named Stochastic-Dynamic Method, is created for the microgrid and the subsequent optimization problem. The results generated using the 3 algorithms are compared and then tested using the Simulink model of the microgrid. The simulations are followed by the experimental validation of the Stochastic-Dynamic Method. Finally, a real-time control method is created and simulated with the purpose of overcoming the limitations that Day-Ahead Scheduling presents.


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Cited-By CrossRef

[1] Comprehensive Day-Ahead Marketing Model Considering N-1 Security and Renewables, Tyroller, Karina, Yalcinoz, Tankut, Rudion, Krzysztof, Journal of Energy Engineering, ISSN 0733-9402, Issue 1, Volume 149, 2023.
Digital Object Identifier: 10.1061/(ASCE)EY.1943-7897.0000866
[CrossRef]

[2] Optimization of PV and Battery Energy Storage Size in Grid-Connected Microgrid, Garip, Selahattin, Ozdemir, Saban, Applied Sciences, ISSN 2076-3417, Issue 16, Volume 12, 2022.
Digital Object Identifier: 10.3390/app12168247
[CrossRef]

[3] Renewable Energy Microgrid Cost Optimization using Simulated Annealing, Ignat-Balaci, Andreea, Petreus, Dorin, Ferencz, Izsak, 2022 IEEE 16th International Conference on Compatibility, Power Electronics, and Power Engineering (CPE-POWERENG), ISBN 978-1-6654-9678-0, 2022.
Digital Object Identifier: 10.1109/CPE-POWERENG54966.2022.9880908
[CrossRef]

[4] Photovoltaic based Battery Sizing for Domestic Prosumers Under TOU Tariff Environment using Particle Swarm Optimization, Raj, R. Soundara, Bhalaji, N. Sreeram, Santhoshkumar, R., Surya, S., Kumar, C., Jaisiva, S., Lakshmanan, M., 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), ISBN 979-8-3503-9737-6, 2023.
Digital Object Identifier: 10.1109/ICACCS57279.2023.10112891
[CrossRef]

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


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