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

Nhung Nguyen-Hong, Yosuke Nakanishi

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトル7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ464-468
ページ数5
ISBN(電子版)9781538659823
DOI
出版物ステータスPublished - 2018 12 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 142018 10 17

Other

Other7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
France
Paris
期間18/10/1418/10/17

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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  • これを引用

    Nguyen-Hong, N., & Nakanishi, Y. (2018). Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response. : 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