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Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded MicrogridIGNAT-BALACI, A. , SZILAGYI, E. , PETREUS, D. |
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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
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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