抄録
Nowadays, renewable energy has become a very viable alternative solution to provide electricity. However, the uncertainty of renewable energy changes traditional issues in operation and control of power system. This paper proposes a Stochastic Dynamic Power Flow Analysis to evaluate state variables' probability distribution at any time t. Stochastic process of renewable energy is modeled and simulated by ARMA-GARCH model. The Stochastic Response Surface Method is also applied to increase computational efficiency with the same accuracy as Monte Carlo simulation. Stochastic Dynamic Power Flow Analysis is applied to IEEE 30-bus system and time dependent probability distribution of voltage, frequency and network loss will be analyzed.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（電子版） | 9781538628904 |
| DOI | |
| 出版ステータス | Published - 2017 10月 26 |
| イベント | 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States 継続期間: 2017 4月 23 → 2017 4月 26 |
出版物シリーズ
| 名前 | 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 |
|---|
Other
| Other | 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 |
|---|---|
| 国/地域 | United States |
| City | Washington |
| Period | 17/4/23 → 17/4/26 |
ASJC Scopus subject areas
- 人工知能
- コンピュータ ネットワークおよび通信
- 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
- 制御と最適化
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
