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Scheduling for Electricity Cost in Smart Grid

  • Mihai Burcea
  • Wing-Kai Hon
  • Hsiang-Hsuan Liu
  • Prudence W. H. Wong
  • David K. Y. Yau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8287)

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.

Keywords

Schedule Problem Smart Grid Optimal Assignment Binary Search Tree Separable Convex 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Mihai Burcea
    • 1
  • Wing-Kai Hon
    • 2
  • Hsiang-Hsuan Liu
    • 2
  • Prudence W. H. Wong
    • 1
  • David K. Y. Yau
    • 3
  1. 1.Department of Computer ScienceUniversity of LiverpoolUK
  2. 2.Department of Computer ScienceNational Tsing Hua UniversityTaiwan
  3. 3.Information Systems Technology and DesignSingapore University of Technology and DesignSingapore

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