基于临界慢化理论的电力系统自组织临界影响因素阈值计算方法

doi:10.19595/j.cnki.1000-6753.tces.180298

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Abstract The phenomenon of critical slowing down near the critical point of critical phase transformation was common in many complex systems. Currently the algorithms to get the power system’s self-organized critical point was complicated or could not compute the critical value of related factors, which was concerned most in the application. Therefore critical slowing down theory was applied to seek the self-organized critical point in this article. And further Mann-Kendall test was used to compute the critical value of power system’s self-organized critical factors. This method is easy to implement and verified available and efficiency on CEPRI 36 bus system and Jiuquan area in Gansu power grid by simulating and K-S test,slide T-test. And this method can provide theoretical and technical basis for the prevention and control of large-scale blackouts.

Key words： Critical phase transformation critical slowing down theory self-organized critical Mann-Kendall test K-S test

Received: 05 March 2018 Published: 21 March 2019

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TM315

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	Cai Wantong
	Liu Wenying
	Wang Fangyu
	Wang Weizhou
	Yao Wei

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Cai Wantong,Liu Wenying,Wang Fangyu等. Computing Method of the Critical Value of Power System’s Self-Organized Critical Factors Based on Critical Slowing Down Theory[J]. Transactions of China Electrotechnical Society, 2019, 34(5): 1068-1077.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180298 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I5/1068

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通信作者:蔡万通, 男,1990年生,博士研究生,研究方向为新能源电力系统规划与运行控制.E-mail:caiwt2@csg.cn