抄録
The hybrid wind-diesel system is a typical configuration for the isolated power system. However, the small inertia constant of this system and the uncertain of wind power and demand causes several technical challenges. Consequently, battery energy storage system is installed to support the wind-diesel system. This paper presents optimal day-ahead scheduling of the wind-diesel system and considers the role of battery storage system in frequency response. Wind power and demand uncertainties are taken into account by using forecast error modeling. The optimization problem is formulated as a two-stage Chance-Constrained Programming solved by Sample Average Approximation (SAA) algorithm using CPLEX and YALMIP toolboxes. A simple approach is also proposed to make SAA algorithm more efficient.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 464-468 |
| ページ数 | 5 |
| ISBN（電子版） | 9781538659823 |
| DOI | |
| 出版ステータス | Published - 2018 12月 6 |
| イベント | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 - Paris, France 継続期間: 2018 10月 14 → 2018 10月 17 |
Other
| Other | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 |
|---|---|
| 国/地域 | France |
| City | Paris |
| Period | 18/10/14 → 18/10/17 |
ASJC Scopus subject areas
- エネルギー工学および電力技術
- 再生可能エネルギー、持続可能性、環境
- 電子工学および電気工学
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
