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Dynamic Power Flow Cascading Failure Analysis of Wind Power Integration with Complex Network Theory

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  • Yushu Sun

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China)

  • Xisheng Tang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China)

  • Guowei Zhang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China)

  • Fufeng Miao

    (State Grid Henan Power Company Economic and Technological Research Institute, Zhengzhou 450052, China)

  • Ping Wang

    (Jiangsu Province Electrochemical Energy Storage Technology Key Laboratory, Taizhou 225500, China)

Abstract

The impact of the rapid development of large-scale centralized wind power farms on the power system is drawing more and more attention. Some topics about grid-connected wind power are discussed from the view of complex network theory in this paper. Firstly, a complex network cascading failure model is established, combined with dynamic AC power flow (DACPF). Then, the IEEE 30 bus system is used to analyze its validity using the simulations of nodes removal, wind power integration, as well as the change of current and voltage boundaries. Furthermore, the influences of wind power before and after smoothing are investigated. Also, different wind power coupling locations are studied. Finally, some significant conclusions are obtained to provide references for large-scale wind power integration.

Suggested Citation

  • Yushu Sun & Xisheng Tang & Guowei Zhang & Fufeng Miao & Ping Wang, 2017. "Dynamic Power Flow Cascading Failure Analysis of Wind Power Integration with Complex Network Theory," Energies, MDPI, vol. 11(1), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:63-:d:124829
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    References listed on IDEAS

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    1. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    2. Solé, Ricard V. & Valverde, Sergi, 2001. "Information transfer and phase transitions in a model of internet traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 595-605.
    3. Nicholson, Charles D. & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "Flow-based vulnerability measures for network component importance: Experimentation with preparedness planning," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 62-73.
    4. Yin, Rong-Rong & Liu, Bin & Liu, Hao-Ran & Li, Ya-Qian, 2016. "Research on invulnerability of the random scale-free network against cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 458-465.
    5. Peng, Xingzhao & Yao, Hong & Du, Jun & Wang, Zhe & Ding, Chao, 2015. "Invulnerability of scale-free network against critical node failures based on a renewed cascading failure model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 69-77.
    6. Saniee Monfared, Momhammad Ali & Jalili, Mahdi & Alipour, Zohreh, 2014. "Topology and vulnerability of the Iranian power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 24-33.
    7. Chen, Guo & Dong, Zhao Yang & Hill, David J. & Zhang, Guo Hua & Hua, Ke Qian, 2010. "Attack structural vulnerability of power grids: A hybrid approach based on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 595-603.
    8. Liu, Jun & Xiong, Qingyu & Shi, Xin & Wang, Kai & Shi, Weiren, 2016. "Robustness of complex networks with an improved breakdown probability against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 302-309.
    9. Jian-Wei Wang & Li-Li Rong, 2009. "Vulnerability Of Effective Attack On Edges In Scale-Free Networks Due To Cascading Failures," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1291-1298.
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    Cited by:

    1. Di Zhang & Limin Jia & Jin Ning & Yujiang Ye & Hao Sun & Ruifeng Shi, 2023. "Power Grid Structure Performance Evaluation Based on Complex Network Cascade Failure Analysis," Energies, MDPI, vol. 16(2), pages 1-15, January.
    2. Wu, Taocheng & Wu, Jiajing & You, Wei, 2018. "Optimizing robustness of complex networks with heterogeneous node functions based on the Memetic Algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 143-153.

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