Energy management method for residential distributed generation system using photovoltaic cells and fuel cell vehicle

Shunsuke Sakae, Akiko Takahashi, Jun Imai, Shigeyuki Funabiki

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

4 Citations (Scopus)

Abstract

This paper proposes a novel energy management method for distributed generation systems using a fuel cell vehicle and photovoltaic cells and validates the usefulness of the proposed energy management method. The proposed method can be used not only in normal daily operation but also in emergency operation. In the normal daily operation, the utility grid can supply power to the domestic power load. The proposed method is evaluated on the basis of the reduction rate in power fluctuation and operating cost per day. On the other hand, the utility grid cannot supply power to the domestic power load during the emergency operation. Thus, the proposed method is evaluated by the number of operative days. As a result, the proposed method reduces 40% of the power fluctuation, and the operating cost in the normal daily operation become cheaper. In the emergency operation, the proposed system can operate until electricity is restored.

Original languageEnglish
Title of host publication2014 IEEE Industry Application Society Annual Meeting, IAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479922888
DOIs
Publication statusPublished - Dec 5 2014
Event2014 IEEE Industry Application Society Annual Meeting, IAS 2014 - Vancouver, Canada
Duration: Oct 5 2014Oct 9 2014

Publication series

Name2014 IEEE Industry Application Society Annual Meeting, IAS 2014

Other

Other2014 IEEE Industry Application Society Annual Meeting, IAS 2014
Country/TerritoryCanada
CityVancouver
Period10/5/1410/9/14

Keywords

  • distributed generation system
  • electrolyzer
  • energy management
  • fuel cell vehicle
  • hydrogen storage
  • photovoltaic cell

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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