Joint Optimization of Energy Storage and Wind Power Generation for an Islanded system

Nhung Nguyen-Hong, Huy Nguyen-Duc, Yosuke Nakanishi

研究成果: Conference contribution

抜粋

For remote island communities, the hybrid wind-diesel generation system is a very common solution to provide electricity. Nowadays, the energy storage systems have become increasingly viable. The energy storage system helps to balance the stochastic nature of renewable energy sources. Therefore, in the generation and expansion planning studies, both renewable sources and energy storage devices should be considered in a single optimization problem. This approach leads to highly complicated optimization models, especially when several uncertainty factors are included. This paper proposes a stochastic optimization model to determine optimal combinations of wind turbines and energy storage systems. The optimization takes into account the uncertainty in wind generation. The study is conducted based on an actual island power system.

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809-813
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., Nguyen-Duc, H., & Nakanishi, Y. (2018). Joint Optimization of Energy Storage and Wind Power Generation for an Islanded system. : 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 (pp. 809-813). [8566969] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA.2018.8566969