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Print ISSN: 1582-7445
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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: 455 | Views: 360

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.


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

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References Weight

Web of Science® Citations for all references: 2,153 TCR
SCOPUS® Citations for all references: 2,648 TCR

Web of Science® Average Citations per reference: 67 ACR
SCOPUS® Average Citations per reference: 83 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 2022-10-05 11:34 in 179 seconds.




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