Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 464-468 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538659823 |
| DOIs | |
| Publication status | Published - 2018 Dec 6 |
| Event | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 - Paris, France Duration: 2018 Oct 14 → 2018 Oct 17 |
Other
| Other | 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 |
|---|---|
| Country | France |
| City | Paris |
| Period | 18/10/14 → 18/10/17 |
Fingerprint
Keywords
- Chance-constrained programming
- Day-ahead scheduling
- Primary frequency response
- Wind power
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering