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.
|出版ステータス||Published - 2018|
|イベント||12th International Renewable Energy Storage Conference, IRES 2018 - Dusseldorf, Germany|
継続期間: 2018 3 13 → 2018 3 15
ASJC Scopus subject areas