Electric Power ›› 2016, Vol. 49 ›› Issue (1): 91-95.DOI: 10.11930/j.issn.1004-9649.2016.01.091.05

• Power System • Previous Articles     Next Articles

Self-Organization Characteristic Analysis of Blackouts in China’s Regional Power Grid Based on Relative Value

YU Qun1, SHI Liang1, GUO Jianbo2, HE Qing2, YI Jun2   

  1. 1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;
    2. China Electric Power Research Institute, Beijing 100192, China
  • Received:2015-05-08 Online:2016-01-18 Published:2016-02-04
  • Supported by:
    This project is supported by State Grid Corporation of China, Major Projects on Planning and Operation Control of Large Scale Grid (No. SGCC-MPLG001-2012).

Abstract: A relative value index that divided power loss data by power grid capacity, is proposed to analyze power grid blackouts characteristics of self-organization criticality with the continuous growth of power grid scale. According to analysis of Northeast and Northwest power grid blackout load loss relative values, the data of power grid blackouts in 1981-2002 and 1981-2010 time periods follow power-law distribution, which further proves that China’s regional power grid has typical characteristics of self-organization criticality. The application of proposed method rules out effect of power grid growth on its characteristics of self-organization criticality. A more accurate risk rating of power grids is obtained from power loss relative value. At the same time, this method can also compare blackout data of power grid in different sizes, and the result can be used as a reference for power dispatching and planning.

Key words: power system, blackout, self-organized criticality (SOC), power law, relative value statistics

CLC Number: