Peak-load shaving in smart homes via online scheduling

Giuseppe Tommaso Costanzo; J. Kheir; null Guchuan Zhu

doi:10.1109/ISIE.2011.5984354

Peak-load shaving in smart homes via online scheduling

Giuseppe Tommaso Costanzo, J. Kheir, Guchuan Zhu

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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Abstract

This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.

Original language	English
Title of host publication	Industrial Electronics
Publisher	IEEE
Publication date	2011
Pages	1347-1352
ISBN (Print)	9781424493104
DOIs	https://doi.org/10.1109/ISIE.2011.5984354
Publication status	Published - 2011
Event	20th International Symposium on Industrial Electronics (ISIE 2011) - Gdansk University of Technology, Gdansk, Poland Duration: 27 Jun 2011 → 30 Jun 2011

Conference

Conference	20th International Symposium on Industrial Electronics (ISIE 2011)
Location	Gdansk University of Technology
Country	Poland
City	Gdansk
Period	27/06/2011 → 30/06/2011

Keywords

Building management systems
Energy conservation
Finite state machines
Scheduling
Smart power grids

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10.1109/ISIE.2011.5984354

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abstract = "This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.",

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AB - This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.

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