Abstract
This paper presents the design, implementation, and experimental results of an architecture for autonomous demand-side load management (ADSM) system for Smart Buildings in view of influencing the energy demand in the Smart Grid. In such an architecture, the management system has a layered structure and appliances' operation is modeled as a finite state machine, which enables an efficient load control using scheduling techniques borrowed from real-time computing systems. In this study the Admission Control, which is the bottom layer of the presented architecture interacting in real-time with physical equipments, is addressed and the real-time power consumption management in a residential dwelling is implemented and tested in a real office building. The experimental results provide a proof of concept for the proposed architecture and demonstrate the applicability of the on-line scheduling approach for ADSM systems for smart buildings.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 3rd IEEE PES Innovative Smart Grid Technologies Europe Conference |
| Publisher | IEEE |
| Publication date | 2012 |
| ISBN (Print) | 978-1-4673-2597-4 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) - Berlin, Germany Duration: 14 Oct 2012 → 17 Oct 2012 Conference number: 3 |
Conference
| Conference | 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) |
|---|---|
| Number | 3 |
| Country/Territory | Germany |
| City | Berlin |
| Period | 14/10/2012 → 17/10/2012 |
Bibliographical note
This work was supported by DERri, Distributed Energy Resources research infrastructure (FP7 Contract: 228449, TA-ID: 20110131-04), and by Mprime, the Canadian Network of Centres of Excellence for the mathematical sciences.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Smart Grid
- Autonomous demand side management (ADSM)
- Energy management
- Real-time scheduling
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