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 |
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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
Cite this
Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response. / Nguyen-Hong, Nhung; Nakanishi, Yosuke.
7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 464-468 8566847.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response
AU - Nguyen-Hong, Nhung
AU - Nakanishi, Yosuke
PY - 2018/12/6
Y1 - 2018/12/6
N2 - 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.
AB - 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.
KW - Chance-constrained programming
KW - Day-ahead scheduling
KW - Primary frequency response
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85060618970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060618970&partnerID=8YFLogxK
U2 - 10.1109/ICRERA.2018.8566847
DO - 10.1109/ICRERA.2018.8566847
M3 - Conference contribution
SP - 464
EP - 468
BT - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -