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 language | English |
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Pages (from-to) | 309-319 |
Number of pages | 11 |
Journal | Energy Procedia |
Volume | 155 |
DOIs | |
Publication status | Published - 2018 |
Event | 12th International Renewable Energy Storage Conference, IRES 2018 - Dusseldorf, Germany Duration: 2018 Mar 13 → 2018 Mar 15 |
Keywords
- Spatio-temporal anisotorpy
- Spatio-temporal kriging
- Synthetic wind power profiles
- Wind speed estimation
ASJC Scopus subject areas
- Energy(all)