Smart grid and smart building inter-operation using agent-based particle swarm optimization
| Autor: | Phuong H. Nguyen, WL Wil Kling, L.A. Hurtado |
|---|---|
| Přispěvatelé: | Electrical Energy Systems, Cyber-Physical Systems Center Eindhoven |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Renewable Energy Sustainability and the Environment business.industry Energy management Multi-agent system Distributed computing Energy Engineering and Power Technology Particle swarm optimization Energy consumption Electric power system Smart grid Control and Systems Engineering SDG 7 - Affordable and Clean Energy Electrical and Electronic Engineering business SDG 7 – Betaalbare en schone energie Simulation Efficient energy use Building automation |
| Zdroj: | Sustainable Energy, Grids and Networks, 2(June), 32-40. Elsevier |
| ISSN: | 2352-4677 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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