Optimal energy scheduling for a smart entity

Amin Fakhrazari, Hamid Vakilzadian, F. Fred Choobineh

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

Real-time availability of electricity prices via a smart power grid has a potential bilateral benefit to electricity users and suppliers. The users can reduce their costs by consuming energy during low-price hours and balancing their energy usage during other hours. This in turn benefits energy utility companies by reducing their peak power demand. This article describes an optimal shrinking horizon model for electricity-consuming units based on user preferences. The proposed model optimizes the end user's electricity cost while meeting preferred comfort levels. The user can set preferences in the model using a tristate flexibility parameter for each electric-power-consuming unit. The electricity price model used in the optimization model is general and covers all pricing schemes in the electricity market today. The model derived can be described by a simple mixed integer linear program and solved by most optimization software in a short time. The most distinguishing characteristics of our proposed model are its simplicity, generality, comprehensibility, and ease of implementation. Simulation results are used to verify the model's performance in reducing consumer electricity costs and satisfying comfort preferences.

Original languageEnglish (US)
Article number6856240
Pages (from-to)2919-2928
Number of pages10
JournalIEEE Transactions on Smart Grid
Volume5
Issue number6
DOIs
Publication statusPublished - Nov 1 2014

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Keywords

  • Energy management
  • optimal scheduling
  • shrinking horizon scheduling
  • smart grids

ASJC Scopus subject areas

  • Computer Science(all)

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