Optimal scheduling of an isolated wind-diesel-energy storage system considering fast frequency response and forecast error

Nhung Nguyen Hong*, Yosuke Nakanishi

*この研究の対応する著者

研究成果: Article査読

11 被引用数 (Scopus)

抄録

Nowadays, the hybrid wind–diesel system is widely used on small islands. However, the operation of these systems faces a major challenge in frequency control due to their small inertia. Furthermore, it is also difficult to maintain the power balance when both wind power and load are uncertain. To solve these problems, energy storage systems (ESS) are usually installed. This paper demonstrates the effectiveness of using ESS to provide Fast Frequency Response (FFR) to ensure that the frequency criteria are met after the sudden loss of a generator. An optimal day-ahead scheduling problem is implemented to simultaneously minimize the operating cost of the system, take full advantage of the available wind power, and ensure that the ESS has enough energy to provide FFR when the wind power and demand are uncertain. The optimization problem is formulated in terms of two-stage chance-constrained programming, and solved using a Modified Sample Average Approximation (MSAA) algorithm—a combination of the traditional Sample Average Approximation (SAA) algorithm and the k-means approach. The proposed method is tested with a realistic islanded power system, and the effects of the ESS size and its response time is analyzed. Results indicate that the proposed model should perform well under real-world conditions.

本文言語English
論文番号843
ジャーナルEnergies
12
5
DOI
出版ステータスPublished - 2019 3月 4

ASJC Scopus subject areas

  • 再生可能エネルギー、持続可能性、環境
  • エネルギー工学および電力技術
  • エネルギー(その他)
  • 制御と最適化
  • 電子工学および電気工学

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