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A novel local-world evolving network model for power grid

Wang Guang-Zeng Bao Zhe-Jing Han Zhen-Xiang Cao Yi-Jia

A novel local-world evolving network model for power grid

Wang Guang-Zeng, Bao Zhe-Jing, Han Zhen-Xiang, Cao Yi-Jia
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  • Abstract views:  3698
  • PDF Downloads:  1567
  • Cited By: 0
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  • Received Date:  08 September 2008
  • Accepted Date:  31 October 2008
  • Published Online:  20 June 2009

A novel local-world evolving network model for power grid

  • 1. (1)浙江大学电气工程学院,杭州 310027; (2)浙江大学电气工程学院,杭州 310027;湖南大学电气与信息工程学院,长沙 410082

Abstract: Many systems in the real world can be described by evolving models of complex network, one of which is power system. Classical network models show great inconsistence with practical power grids. Based on the essential evolution characteristics of power grid, we propose a new local-world evolving network model for complex power grid, which exists in many physical complex networks. The statistical properties and dynamics of the proposed model are analytically studied. It is found that the degree distribution of this new model has a power-law tail, and its scaling exponent is between 3 and ∞. Numerical simulations for West American power grid and North China power grid and their comparison with random network and scale-free network indicate that the new evolving network model captures the essential features of real-world power grid. Furthermore, it is proved that power grid is neither a random network nor a scale-free network.

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