A Predictive Control Strategy for Energy Management in Micro-Grid Systems

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentral...

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Bibliographic Details
Published in:Electronics (Basel) 2021-07, Vol.10 (14), p.1666
Main Authors: Elmouatamid, Abdellatif, Ouladsine, Radouane, Bakhouya, Mohamed, El kamoun, Najib, Zine-Dine, Khalid
Format: Article
Language:English
Subjects:
Adaptive control
Algorithms
Alternative energy sources
Artificial intelligence
Communication
Communications technology
Distributed generation
Electricity
Embedded systems
Energy consumption
Energy flow
Energy management
Energy resources
Energy storage
Engineering Sciences
Internet of Things
Machine learning
Microprocessors
Optimization
Predictive control
Renewable energy sources
Storage systems
System effectiveness
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Summary:The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10141666