抜粋
The Output of photovoltaic (PV) systems depends on weather conditions. Therefore if there is a large introduction of PV systems, the power quality in the distribution system will be affected. One effective solution for this problem is to predict PV output. Although the need for prediction information for short period fluctuation is increasing, it is difficult to directly predict a steep fluctuation on the second time scale. For the prediction information of PV output, we propose the estimation of the prediction interval of the fluctuation widths on a 10 second scale. In this paper, we carry out the prediction by using the conventional method, with one-dimensional kernel density estimation, and the proposed method, with two-dimensional kernel density estimation. Then, we discuss the effectiveness of the proposed method based on several numerical indexes.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 1825-1830 |
| ページ数 | 6 |
| 巻 | 2016-November |
| ISBN（電子版） | 9781509027248 |
| DOI | |
| 出版物ステータス | Published - 2016 11 18 |
| イベント | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States 継続期間: 2016 6 5 → 2016 6 10 |
Other
| Other | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 |
|---|---|
| 国 | United States |
| 市 | Portland |
| 期間 | 16/6/5 → 16/6/10 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering