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Scheduling for electricity cost in smart grid
Conference paper   Peer reviewed

Scheduling for electricity cost in smart grid

Mihai Burcea, Wing-Kai Hon, Hsiang-Hsuan Liu, Prudence W. H. Wong and David K. Y. Yau
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.8287 LNCS, pp.306-317
2013

Abstract

We study an offline scheduling problem arising in demand response management in smart grid. Consumers send in power requests with a flexible set of timeslots during which their requests can be served. For example, a consumer may request the dishwasher to operate for one hour during the periods 8am to 11am or 2pm to 4pm. The grid controller, upon receiving power requests, schedules each request within the specified duration. The electricity cost is measured by a convex function of the load in each timeslot. The objective of the problem is to schedule all requests with the minimum total electricity cost. As a first attempt, we consider a special case in which the power requirement and the duration a request needs service are both unit-size. For this problem, we present a polynomial time offline algorithm that gives an optimal solution and show that the time complexity can be further improved if the given set of timeslots is a contiguous interval. © Springer International Publishing 2013.

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