Adaptive energy consumption scheduling with load uncertainty for the smart grid

Samadi P, Mohsenian-Rad H, Wong VW, Schober R (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

2012 IEEE International Conference on Communications (ICC) Institute of Electrical and Electronics Engineers (IEEE)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 4244-4249

Conference Proceedings Title: IEEE International Conference on Communications

Event location: HUN

ISBN: 9781467331227

DOI: 10.1109/ICC.2013.6655230

Abstract

In this paper, we propose a novel real-time energy consumption scheduling algorithm that takes into account load uncertainty to minimize the energy payment for each user. We formulate the problem of load scheduling as an optimization problem. To reduce the computational complexity, we devise an approximate dynamic programming approach to schedule the operation of appliances. In our problem formulation, we consider different sets of appliances including must-run and controllable. Unlike most of the existing demand side management algorithms that assume perfect knowledge of users' energy needs, our design only requires knowledge of some estimates of the future demand. Simulation results confirm that the proposed energy scheduling algorithm can benefit both the users by reducing their energy expenses and the utility companies by improving the peak-to-average ratio in load demand. © 2013 IEEE.

Authors with CRIS profile

Robert Schober

Involved external institutions

University of British Columbia

Canada (CA) University of California, Riverside (UCR)

United States (USA) (US)

How to cite

APA:

Samadi, P., Mohsenian-Rad, H., Wong, V.W., & Schober, R. (2013). Adaptive energy consumption scheduling with load uncertainty for the smart grid. In IEEE International Conference on Communications (pp. 4244-4249). HUN: Institute of Electrical and Electronics Engineers Inc..

MLA:

Samadi, Pedram, et al. "Adaptive energy consumption scheduling with load uncertainty for the smart grid." Proceedings of the 2013 IEEE International Conference on Communications, ICC 2013, HUN Institute of Electrical and Electronics Engineers Inc., 2013. 4244-4249.

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