MATEC Web Conf.
Volume 160, 2018International Conference on Electrical Engineering, Control and Robotics (EECR 2018)
|Number of page(s)||6|
|Section||Smart Grid and Application Technology|
|Published online||09 April 2018|
- Yin Yonghua, Guo Jianbo, Zhao Jianjun, et a1. “Preliminary analysis of large scale blackout in interconnected North America power on August 14 and lessons to be drawn,” Power System Technology, vol. 27, pp. 8-11 (2003). [Google Scholar]
- Chen Yonjin, Ren Xia, Huang Wenying. “Model and analysis of power system reliability evaluation considering weather change,” Automation of Electric Power Systems, vol. 28, pp. 17-21 (2004). [Google Scholar]
- LIU Wengying, YANG Nan, ZHANG Jianli. “Complex Grid Failure Propagating Chain Model in Consideration of Adverse Weather,” Proceedings of the CSEE, vol. 32, pp. 53-59(2012). [Google Scholar]
- LuoYi, WangYingying, WanWei, et a1. “Fault chains model for cascading failure of gfid,” Automation of Electric Power Systems, vol.33, pp. 1-5(2009). [Google Scholar]
- Yu Qun, Guo Jianbo. “Statisics and self-organized criticality characters of blackouts in China electric power systems,” Automation of Electric Power Systems, vol. 30, pp.16-21(2006). [Google Scholar]
- Cao Yijia, Jiang Quanyuan, Ding Lijie. “Self-organized criticality phenomenon for power system blackouts,” Power System Technology, vol. 29, pp.1-5(2005). [Google Scholar]
- Ding Ming, Han Pingping. “Research on power system cascading failure with complex system theory,” Journal of Hefei University of Technology: Natural Science, vol. 28, pp.1047-1052(2005). [Google Scholar]
- Wang Jiaming, Liu Wenying, Zhang Jianli. “Online Early Warning Model for Cascading Failure in Complex Power Grid Under Severe Weather”, Power System Technology, vol.36, pp.239-244(2012). [Google Scholar]
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