Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response

Nhung Nguyen-Hong; Yosuke Nakanishi

doi:10.1109/ICRERA.2018.8566847

Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response

Nhung Nguyen-Hong, Yosuke Nakanishi

Graduate School of Environment and Energy Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1109/ICRERA.2018.8566847
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

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

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Nguyen-Hong, N., & Nakanishi, Y. (2018). Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response. In 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 (pp. 464-468). [8566847] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA.2018.8566847

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

Nguyen-Hong, N & Nakanishi, Y 2018, Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response. in 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018., 8566847, Institute of Electrical and Electronics Engineers Inc., pp. 464-468, 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018, Paris, France, 18/10/14. https://doi.org/10.1109/ICRERA.2018.8566847

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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.",

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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.

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Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response

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Keywords

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