Expected wind speed estimation considering spatio-temporal anisotropy for generating synthetic wind power profiles

Research output: Contribution to journalConference article

Abstract

Wind power generation is one of renewable energies which are expected to introduce to power grid in the future. However, unexpected fluctuations of wind power output will cause serious problems such as the lack of frequency adjustment. One of the countermeasures is utilization of battery systems for mitigating short-term fluctuations. However, in general, time series data of wind power which will be generated at the wind farm built in the future is required for estimating appropriate specification of the battery system. Therefore, we have been developed a framework generating synthetic wind power profiles of a target point for any target points where the wind turbine will be built. In this paper, we propose a statistical approach for reproducing temporally plausible wind speed sequence for generating synthetic wind power profiles. We show the result of numerical experience using real-world dataset.

Original languageEnglish
Pages (from-to)309-319
Number of pages11
JournalEnergy Procedia
Volume155
DOIs
Publication statusPublished - 2018 Jan 1
Event12th International Renewable Energy Storage Conference, IRES 2018 - Dusseldorf, Germany
Duration: 2018 Mar 132018 Mar 15

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Wind power
Anisotropy
Wind turbines
Farms
Power generation
Time series
Specifications

Keywords

  • Spatio-temporal anisotorpy
  • Spatio-temporal kriging
  • Synthetic wind power profiles
  • Wind speed estimation

ASJC Scopus subject areas

  • Energy(all)

Cite this

Expected wind speed estimation considering spatio-temporal anisotropy for generating synthetic wind power profiles. / Hama, Kouki; Fujimoto, Yu; Hayashi, Yasuhiro.

In: Energy Procedia, Vol. 155, 01.01.2018, p. 309-319.

Research output: Contribution to journalConference article

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