A genetic algorithm based power consumption scheduling in smart grid buildings

Eunji Lee, Hyokyung Bahn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new power consumption scheduling algorithm for smart buildings that adopts smart meters and real-time pricing of electricity. The proposed algorithm dynamically changes the power mode of each electric device according to the change of electricity prices. Specifically, we formulate the electricity usage scheduling problem as a real-time task scheduling problem, and show that it is a complex search problem that has an exponential time complexity. The proposed scheme uses an efficient heuristic based on genetic algorithms to cut down the huge searching space and finds a reasonable schedule within a feasible time budget. Experimental results with various building conditions show that the proposed algorithm reduces the electricity charge of a smart building by 25.6% on average and up to 33.4%.

Original languageEnglish
Title of host publicationInternational Conference on Information Networking 2014, ICOIN 2014
PublisherIEEE Computer Society
Pages469-474
Number of pages6
ISBN (Print)9781479936892
DOIs
StatePublished - 2014
Event2014 28th International Conference on Information Networking, ICOIN 2014 - Phuket, Thailand
Duration: 10 Feb 201412 Feb 2014

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684

Conference

Conference2014 28th International Conference on Information Networking, ICOIN 2014
Country/TerritoryThailand
CityPhuket
Period10/02/1412/02/14

Keywords

  • genetic algorithm
  • power consumption scheduling
  • smart building
  • smart grid

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