Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
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 Optimi...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Stefan cel Mare University of Suceava
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/def9a8f3825e493e8010ec7241f978d5 |
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| Sumario: | 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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