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电力信息相依网络去除重要相依边策略及其鲁棒性研究

THE ROBUSTNESS AND THE STRATEGY OF REMOVING IMPORTANT DEPENDENCY LINKS IN POWER INFORMATION INTERDEPENDENT NETWORKS
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摘要 去除相依边可有效增强电力信息相依网络的鲁棒性,然而随机去除相依边策略需要去除大量相依边,极大地破坏了网络的功能。基于此,提出去除重要相依边策略。建立符合实际的“部分一一对应”电力信息相依网络模型;提出相依边的重要性衡量指标,并根据此指标,提出去除重要相依边策略;利用WS-BA、ER-BA、GRID-BA三种异质电力信息相依网络进行仿真。仿真结果表明,所提出的去除重要相依边策略可在保持电力网络的功能下,显著提升电力信息相依网络的鲁棒性。 Removal of dependency links can effectively enhance the robustness of the power information interdependent network.However,the random removal of dependency links strategy needs to remove a sea of dependency links,which greatly destroys the function of the network.Based on this,a strategy of removing important dependency links is proposed.A realistic"part one-to-one correspondence"power information interdependent network model was established.The importance measurement index of dependency links was proposed,and based on this indicator,a strategy to remove important dependency links was proposed.Three types of heterogeneous power information interdependent networks,WS-BA,ER-BA,and GRID-BA,were used for simulation.The simulation results show that the proposed strategy of removing important dependency links can significantly improve the robustness of the power information interdependent network while maintaining the functions of the power network.
作者 杨鑫 李琰 徐天奇 王竞才 张子华 鲁东兴 Yang Xin;Li Yan;Xu Tianqi;Wang Jingcai;Zhang Zihua;Lu Dongxing(School of Electrical Information Engineering,Yunnan Minzu University,Kunming 650500,Yunnan,China)
出处 《计算机应用与软件》 北大核心 2023年第12期41-47,共7页 Computer Applications and Software
基金 国家自然科学基金项目(61761049)。
关键词 电力信息相依网络 相依边 鲁棒性 级联故障 Power information interdependent network Dependency links Robustness Cascading failures
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