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Evaluation of the capability of accepting large-scale wind power in China

Author

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  • He, Y.X.
  • Xia, T.
  • Liu, Z.Y.
  • Zhang, T.
  • Dong, Z.

Abstract

With regard to energy conservation and the reduction of emissions, China is dedicated to facilitating the development of renewable energy in order to fulfil its international responsibility. In recent years, the installed wind power capacity in China has increased rapidly due to its large scale and centralization. The high penetration of wind power has brought about a series of problems such as the wind energy utilization and curtailment, auxiliary services and the pricing mechanism. The resolution of these problems needs policies which will provide more support than the current technologies and standards for wind power. This paper takes the evaluation of capability of accepting large-scale wind power in China as its object of study. According to the analysis of such risk factors as the influence of the grid on wind power integration, wind power itself, the market and policy, an evaluation model of the ability of accepting large-scale wind power is established based on risk theory. Then, the estimation of the ability to accept wind power in Gansu Province is used to testify to the effectiveness of this model. Finally, a series of reasonable policies for wind power are proposed.

Suggested Citation

  • He, Y.X. & Xia, T. & Liu, Z.Y. & Zhang, T. & Dong, Z., 2013. "Evaluation of the capability of accepting large-scale wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 509-516.
    • Handle: RePEc:eee:rensus:v:19:y:2013:i:c:p:509-516
    DOI: 10.1016/j.rser.2012.11.029
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    References listed on IDEAS

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    1. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Brouwer, Jack & Samuelsen, Scott, 2011. "Spatial and temporal analysis of electric wind generation intermittency and dynamics," Renewable Energy, Elsevier, vol. 36(12), pages 3424-3432.
    2. Valizadeh Haghi, H. & Tavakoli Bina, M. & Golkar, M.A. & Moghaddas-Tafreshi, S.M., 2010. "Using Copulas for analysis of large datasets in renewable distributed generation: PV and wind power integration in Iran," Renewable Energy, Elsevier, vol. 35(9), pages 1991-2000.
    3. Lin, Chyou-Jong & Yu, Oliver S. & Chang, Chung-Liang & Liu, Yuin-Hong & Chuang, Yuh-Fa & Lin, Yu-Liang, 2009. "Challenges of wind farms connection to future power systems in Taiwan," Renewable Energy, Elsevier, vol. 34(8), pages 1926-1930.
    4. Rombauts, Yannick & Delarue, Erik & D’haeseleer, William, 2011. "Optimal portfolio-theory-based allocation of wind power: Taking into account cross-border transmission-capacity constraints," Renewable Energy, Elsevier, vol. 36(9), pages 2374-2387.
    5. Hoicka, Christina E. & Rowlands, Ian H., 2011. "Solar and wind resource complementarity: Advancing options for renewable electricity integration in Ontario, Canada," Renewable Energy, Elsevier, vol. 36(1), pages 97-107.
    6. Weigt, Hannes & Jeske, Till & Leuthold, Florian & von Hirschhausen, Christian, 2010. ""Take the long way down": Integration of large-scale North Sea wind using HVDC transmission," Energy Policy, Elsevier, vol. 38(7), pages 3164-3173, July.
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    Cited by:

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    2. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
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    4. Da Liu & Guowei Zhang & Baohua Huang & Weiwei Liu, 2016. "Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario," Energies, MDPI, vol. 9(3), pages 1-13, March.
    5. Sun, Xiaocong & Bao, Minglei & Ding, Yi & Hui, Hengyu & Song, Yonghua & Zheng, Chenghang & Gao, Xiang, 2024. "Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties," Energy, Elsevier, vol. 296(C).
    6. Huiru Zhao & Sen Guo & Hongze Li, 2015. "Economic Impact Assessment of Wind Power Integration: A Quasi-Public Goods Property Perspective," Energies, MDPI, vol. 8(8), pages 1-26, August.
    7. Chang-Gi Min & Mun-Kyeom Kim, 2017. "Flexibility-Based Evaluation of Variable Generation Acceptability in Korean Power System," Energies, MDPI, vol. 10(6), pages 1-12, June.
    8. Shuo Zhang & Li Chen & Yidan Zheng & Yingzi Li & Ying Li & Ming Zeng, 2021. "How Policies Guide and Promoted Wind Power to Market Transactions in China during the 2010s," Energies, MDPI, vol. 14(14), pages 1-24, July.

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