US 11,983,472 B2
Method for identifying fragile lines in power grids based on electrical betweenness
Chaoyang Chen, Xiangtan (CN); Yong Zhou, Xiangtan (CN); Zuguo Chen, Xiangtan (CN); Li He, Xiangtan (CN); Zhuangxi Tan, Xiangtan (CN); Pei Li, Xiangtan (CN); Ying Zou, Xiangtan (CN); and Xiaowen Wu, Xiangtan (CN)
Assigned to HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, Xiangtan (CN)
Filed by Hunan University of Science and Technology, Xiangtan (CN)
Filed on Mar. 28, 2023, as Appl. No. 18/191,149.
Claims priority of application No. 202210961314.2 (CN), filed on Aug. 10, 2022.
Prior Publication US 2024/0054259 A1, Feb. 15, 2024
Int. Cl. G06F 30/20 (2020.01); G06F 113/04 (2020.01); G06F 119/02 (2020.01); H02J 3/00 (2006.01)
CPC G06F 30/20 (2020.01) [H02J 3/00125 (2020.01); G06F 2113/04 (2020.01); G06F 2119/02 (2020.01); H02J 2203/20 (2020.01)] 9 Claims
OG exemplary drawing
 
1. A method for identifying fragile lines in power grids based on electrical betweenness, comprising:
constructing the power grids into a network diagram, sequentially removing lines in the network diagram, and sorting the electrical betweenness of each of the lines from large to small;
constructing a nonlinear model of complex network cascade failure considering overload and weighted edges, and respectively performing two ways of removing the lines for sorted electrical betweenness according to the nonlinear model of the complex network cascade failure, sequentially removing preset proportion lines and sequentially removing all lines respectively until no new lines are removed in the network diagram, wherein the nonlinear model of the complex network cascade failure considering the overload and the weighted edges comprises five parameters: α, β, θ, ω and δ respectively, changing only one parameter at a time, and keeping rest parameters unchanged, wherein removing the preset proportion lines is to test an influence of different parameters on identification of electrical betweenness lines under the nonlinear model of the complex network cascade failure, and removing all the lines to test an identification effect of the electrical betweenness lines with fixed parameters; and
obtaining a change of generator-load power before and after removing the lines each time, and evaluating a severity of power grid failure based on the change of the generator-load power, and completing identification of the fragile lines in power grids.