Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm

Microgrids and smart grids are largely accepted concepts in power energy systems. They bring an innovative and distributed view to the old centralized system. This demands a more active participation from end-consumers, that can be achieved by using demand response and demand side management. In thi...

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Bibliographic Details
Published in:Journal of Cleaner Production Vol. 241; p. 118154
Main Authors: Gomes, Luis, Spínola, João, Vale, Zita, Corchado, Juan M.
Format: Journal Article
Language:English
Published: Elsevier Ltd 20.12.2019
Elsevier BV
Subjects:
algorithms
Demand side management
energy
Load optimization
Load priority
Real-time optimization
Realtime optimization
summer
winter
Demand side management
Load optimization
Load priority
Realtime optimization
ISSN:0959-6526, 1879-1786
Online Access:Get full text
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Summary:Microgrids and smart grids are largely accepted concepts in power energy systems. They bring an innovative and distributed view to the old centralized system. This demands a more active participation from end-consumers, that can be achieved by using demand response and demand side management. In this paper it is proposed a solution for demand side management involving and agent-based architectures that was deployed in a small office. The deployment integrated an algorithm for generation and consumption balance with real-time contextual resources' priorities. The deployment's overall results, from a winter and a summer day, are presented in this paper.
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2019.118154