Day-Ahead Scheduling, Simulation, and Real-Time Control of an Islanded Microgrid

• Published in: Advances in Electrical and Computer Engineering Vol. 21; no. 4; pp. 89 - 98
• Main Authors: IGNAT-BALACI, A., SZILAGYI, E., PETREUS, D.
• Format: Journal Article
• Language: English
• Published: Suceava Stefan cel Mare University of Suceava 01.11.2021
• Subjects: Algorithms; Alternative energy sources; Biogas; Consumers; Control methods; Distributed generation; Distributed generation (Electric power); distributed power generation; Energy management; Energy resources; Energy storage; Generators; Linear programming; Mathematical optimization; Methods; microgrids; Operating costs; Optimization; Particle swarm optimization; Renewable resources; Scheduling; Scheduling (Management); Search algorithms; Simulation; Romania
• ISSN: 1582-7445; 1844-7600
• DOI: 10.4316/AECE.2021.04010

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. Index Terms--distributed power generation, energy management, microgrids, optimization, scheduling.