Distributed demand scheduling method to reduce energy cost in smart grid

Akiyuki Imamura, Soushi Yamamoto, Takashi Tazoe, Harunaga Onda, Hidetoshi Takeshita, Satoru Okamoto, Naoaki Yamanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Smart grid has attracted attentions and expresses a view for the future power systems in the world. Demand Side Management(DSM) is a significant method in smart grid that helps the energy providers to shift behind the peak load. Some methods to reduce peak load have been studied in dynamic pricing. One of the purposes is to delay the demand to periods of low electricity price. The conventional scheduling method makes load curve that is inversely proportional to electricity prices as an objective load curve, and this strategy delay the expected demand curve as close as to the objective load curve. There is a problem, however, the scope of controlled object is limited and the whole load situation is not considered. This paper presents a method to smooth the demand situation of each house to reduce electricity prices by a Genetic Algorithm, in consideration of the amount of the whole demand and coordination between each group. The proposed method is able to give a higher value of objective to the group which has more shiftable demand, by adjusting the objective curve considering the delayable time. This feature makes the load as close as the object and reduces electricity price. Simulation results show that the proposed algorithm achieve the reduction of the peak load and the utility bill in smart grid.

Original languageEnglish
Title of host publication2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013
Pages148-153
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013 - Sendai, Japan
Duration: 2013 Aug 262013 Aug 29

Other

Other2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013
CountryJapan
CitySendai
Period13/8/2613/8/29

Fingerprint

Electricity
Scheduling
Costs
Genetic algorithms
Energy cost
Grid
Electricity price

Keywords

  • Demand Side Management
  • Dynamic Pricing
  • Genetic Algorithm
  • Smart Grid

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

Imamura, A., Yamamoto, S., Tazoe, T., Onda, H., Takeshita, H., Okamoto, S., & Yamanaka, N. (2013). Distributed demand scheduling method to reduce energy cost in smart grid. In 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013 (pp. 148-153). [6669032] https://doi.org/10.1109/R10-HTC.2013.6669032

Distributed demand scheduling method to reduce energy cost in smart grid. / Imamura, Akiyuki; Yamamoto, Soushi; Tazoe, Takashi; Onda, Harunaga; Takeshita, Hidetoshi; Okamoto, Satoru; Yamanaka, Naoaki.

2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013. 2013. p. 148-153 6669032.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imamura, A, Yamamoto, S, Tazoe, T, Onda, H, Takeshita, H, Okamoto, S & Yamanaka, N 2013, Distributed demand scheduling method to reduce energy cost in smart grid. in 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013., 6669032, pp. 148-153, 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013, Sendai, Japan, 13/8/26. https://doi.org/10.1109/R10-HTC.2013.6669032
Imamura A, Yamamoto S, Tazoe T, Onda H, Takeshita H, Okamoto S et al. Distributed demand scheduling method to reduce energy cost in smart grid. In 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013. 2013. p. 148-153. 6669032 https://doi.org/10.1109/R10-HTC.2013.6669032
Imamura, Akiyuki ; Yamamoto, Soushi ; Tazoe, Takashi ; Onda, Harunaga ; Takeshita, Hidetoshi ; Okamoto, Satoru ; Yamanaka, Naoaki. / Distributed demand scheduling method to reduce energy cost in smart grid. 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013. 2013. pp. 148-153
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