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A Communication-Based Appliance Scheduling Scheme for Consumer-Premise Energy Management Systems | IEEE Journals & Magazine | IEEE Xplore

A Communication-Based Appliance Scheduling Scheme for Consumer-Premise Energy Management Systems


Abstract:

In this paper, a communication-based load scheduling protocol is proposed for in-home appliances connected over a home area network. Specifically, a joint access and sche...Show More

Abstract:

In this paper, a communication-based load scheduling protocol is proposed for in-home appliances connected over a home area network. Specifically, a joint access and scheduling approach for appliances is developed to enable in-home appliances to coordinate power usage so that the total energy demand for the home is kept below a target value. The proposed protocol considers both “schedulable” appliances which have delay flexibility, and “critical” appliances which consume power as they desire. An optimization problem is formulated for the energy management controller to decide the target values for each time slot, by incorporating the variation of electricity prices and distributed wind power uncertainty. We model the evolution of the protocol as a two-dimensional Markov chain, and derive the steady-state distribution, by which the average delay of an appliance is then obtained. Simulation results verify the analysis and show cost saving to customers using the proposed scheme.
Published in: IEEE Transactions on Smart Grid ( Volume: 4, Issue: 1, March 2013)
Page(s): 56 - 65
Date of Publication: 13 February 2013

ISSN Information:

References is not available for this document.

I. Introduction

Peak demand hours, which happen for only a portion of time in any given year, renders the existing U.S. power grid less efficient. For example, 10% of all generation assets and 25% of distribution infrastructure are required for less than 400 hours per year, roughly 5% of the time [1]. One way to overcome this inefficiency is to modify demand, particularly during peak hours, which is the focus of demand response (DR) programs.

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References

References is not available for this document.