Battery capacity estimation in wind power generation system

Ryo Furuyama*, Yohei Watanabe, Shinji Wakao

*Corresponding author for this work

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


For the spread of wind power generations, the technology of reducing fluctuations in wind power output is indispensable. In this research, we perform computational analyses of a wind power generation system with storage battery, and propose a novel approach for deriving the proper battery capacity. This research is to achieve sufficient smoothing of wind power output and efficient use of wind power energy. In the proposed method, numerically investigating the trade-off relationship among the smoothing effect, battery capacity, and output efficiency characteristics, we can derive the battery capacity on the basis of cost/performance. Furthermore, we performed the investigation of the system using wind power prediction method, i.e., Just-In-Time Modeling. By predicting the wind power output, we can properly update the smoothing time constant according to the short-term wind condition, which results in the reduction of battery capacity. To verify the proposed approach, we also present some computational results based on the measured data of small wind power generation system.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Power and Energy Systems, PES 2007
Number of pages5
Publication statusPublished - 2007 Dec 1
Event9th IASTED International Conference on Power and Energy Systems, PES 2007 - Clearwater, FL, United States
Duration: 2007 Jan 32007 Jan 5

Publication series

NameProceedings of the IASTED International Conference on Energy and Power Systems


Conference9th IASTED International Conference on Power and Energy Systems, PES 2007
Country/TerritoryUnited States
CityClearwater, FL


  • Battery capacity
  • Computer simulation
  • Just-in-time modeling
  • Short-term prediction
  • Smoothing of wind power output
  • Wind power generation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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