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Fast screening techniques and process for grid interconnection of wind-storage systems

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  • Liao, Rih-Neng
  • Chen, Tsai-Hsiang
  • Chang, Wei-Shiou

Abstract

This paper presents fast screening techniques and process for grid interconnection of wind-storage systems. In a smart grid, the wind turbines are likely installed accompanying with battery energy storage systems, called “wind-storage system”, to largely increase the penetration of renewable energy. A fast screening approach based on a genetic algorithm with self-adaptive evolution provided from a commercial software, OPTIMUS, is applied to predetermine the maximum power output of a wind farm. The total power generation of a wind farm can be greatly increased without violating these limitations through the assistant of a battery energy storage system. Time-varying distribution system operating status make the operation problem of a wind-energy system further complicated. The results show that the maximum power output of a wind farm and the required capacity of the battery energy storage systems in a wind-storage system mainly depend on the system short-circuit capacity at the interconnection point of the wind-storage system. This paper confirms the effectiveness of the proposed algorithm using actual wind farm data and a physical distribution system of Taiwan. The outcomes of this paper are of value to fast screening the grid-interconnection applications of wind-storage systems.

Suggested Citation

  • Liao, Rih-Neng & Chen, Tsai-Hsiang & Chang, Wei-Shiou, 2016. "Fast screening techniques and process for grid interconnection of wind-storage systems," Energy, Elsevier, vol. 115(P1), pages 770-780.
    • Handle: RePEc:eee:energy:v:115:y:2016:i:p1:p:770-780
    DOI: 10.1016/j.energy.2016.09.081
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    References listed on IDEAS

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    Cited by:

    1. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    2. Obara, Shin'ya & Ito, Yuji & Okada, Masaki, 2018. "Optimization algorithm for power-source arrangement that levels the fluctuations in wide-area networks of renewable energy," Energy, Elsevier, vol. 142(C), pages 447-461.

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