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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Main Authors: IGNAT-BALACI, A., SZILAGYI, E., PETREUS, D.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2021-11-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2021.04010
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author IGNAT-BALACI, A.
SZILAGYI, E.
PETREUS, D.
author_facet IGNAT-BALACI, A.
SZILAGYI, E.
PETREUS, D.
author_sort IGNAT-BALACI, A.
collection DOAJ
description 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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spelling doaj.art-def9a8f3825e493e8010ec7241f978d52022-12-21T21:26:29ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002021-11-01214899810.4316/AECE.2021.04010Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded MicrogridIGNAT-BALACI, A.SZILAGYI, E.PETREUS, D.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.http://dx.doi.org/10.4316/AECE.2021.04010distributed power generationenergy managementmicrogridsoptimizationscheduling
spellingShingle IGNAT-BALACI, A.
SZILAGYI, E.
PETREUS, D.
Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
Advances in Electrical and Computer Engineering
distributed power generation
energy management
microgrids
optimization
scheduling
title Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
title_full Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
title_fullStr Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
title_full_unstemmed Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
title_short Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid
title_sort day ahead scheduling simulation and real time control of an islanded microgrid
topic distributed power generation
energy management
microgrids
optimization
scheduling
url http://dx.doi.org/10.4316/AECE.2021.04010
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AT szilagyie dayaheadschedulingsimulationandrealtimecontrolofanislandedmicrogrid
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