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Failure analysis on China power grid based on power law

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【Author】 Xiaofeng WENG, Yiguang HONG, Ancheng XUE, Shengwei MEI (State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; Institute of Systems Science, Chinese Academy of Sciences, Beijing 100080, China)

【摘要】 <正>This paper is concerned with the mechanism of blackouts in China power system from the viewpoint of self-organized criticality. By using two estimation algorithms of scaled window variance (SWV) and rescaled range-statistics (R/S), this paper studies the blackout data in China power system during 1988-1997. The result of analysis shows that the blackout data of 1994-1997 coincides well with the autocorrelation. Furthermore, it is found that the function of blackout probability vs. blackout size exhibits power law distribution.

【Abstract】 This paper is concerned with the mechanism of blackouts in China power system from the viewpoint of self-organized criticality. By using two estimation algorithms of scaled window variance (SWV) and rescaled range-statistics (R/S), this paper studies the blackout data in China power system during 1988-1997. The result of analysis shows that the blackout data of 1994-1997 coincides well with the autocorrelation. Furthermore, it is found that the function of blackout probability vs. blackout size exhibits power law distribution.

【基金】 This work was supported by the National Natural Science Foundation of China (No. 50595411, 50377018)the Project 973 (G2004CB217902).
  • 【文献出处】 Journal of Control Theory and Applications ,控制理论与应用(英文版) , 编辑部邮箱 ,2006年03期
  • 【分类号】TM621
  • 【被引频次】4
  • 【下载频次】63
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