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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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distributed power generation, energy management, microgrids, optimization, scheduling
energy(27), microgrid(19), management(12), power(11), simulation(10), technology(7), petreus(7), real(6), microgrids(6), isse(6)
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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
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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