Journal
SUSTAINABLE ENERGY GRIDS & NETWORKS
Volume 2, Issue -, Pages 32-40Publisher
ELSEVIER
DOI: 10.1016/j.segan.2015.03.003
Keywords
Energy management; Comfort management; Demand side management; Building automation; Multi-agent systems; Particle swarm optimization
Ask authors/readers for more resources
Future power systems require a change from a vertical'' to a horizontal'' structure, in which the customer plays a central role. As buildings represent a substantial aggregation of energy consumption, the intertwined operation of the future power grid and the built environment is crucial to achieve energy efficiency and sustainable goals. This transition towards a so-called smart grid (SG) requires advanced building energy management systems (BEMS) to cope with the highly complex interaction between two environments. This paper proposes an agent-based approach to optimize the inter-operation of the SG-BEMS framework. Furthermore a computational intelligence technique, i.e. Particle Swarm Optimization (PSO), is used to maximize both comfort and energy efficiency. Numerical results from an integrated simulation show that the operation of the building can be dynamically changed to support the voltage control of the local power grid, without jeopardizing the building main function, i.e. comfort provision. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available