[1] BOMPARD E,NAPOLI R,XUE Fei.Extended topological approach for the assessment of structural vulnerability in transmission networks[J].IET Generation Transmission and Distribution,2010,4(6):716-724. [2] BOBBIO A,BONANNI G,CIANCAMERLA E,et al.Unavailability of critical SCADA communication links interconnecting a power grid and a Telco network[J].Reliability Engineering and System Safety,2010,95(12):1345-1357. [3] CHEN Duanbing,LÜ Linyuan,SHANG Mingsheng,et al.Identifying influential nodes in complex networks[J].Physica A:Statistical Mechanics and Its Applications,2012,391(4):1777-1787. [4] HUA Ping,FAN Wenli,MEI Shengwei.Identifying node importance in complex networks[J].Physica A:Statistical Mechanics and Its Applications,2015,429(4):169-176. [5] 于会,刘尊,李勇军.基于多属性决策的复杂网络节点重要性综合评价方法[J].物理学报,2013,62(2):54-62. [6] 胡元潮,谢齐家,阮江军,等.基于改进Vague集的智能一次设备评估[J].电力自动化设备,2013,33(12):111-115. [7] DU Yuxian,GAO Cai,HU Yong,et al.A new method of identifying influential nodes in complex networks based on TOPSIS[J].Physica A:Statistical Mechanics and Its Applications,2014,399(4):57-69. [8] 吴果,房礼国,李中.基于多指标综合的复杂网络节点重要性评估[J].计算机工程与设计,2016,37(12):3146-3150. [9] 吴辉,彭敏放,张海艳,等.基于复杂网络理论的配电网节点脆弱度评估[J].复杂系统与复杂性科学,2017,14(1):38-45. [10] 王炫丹,李华强,廖烽然,等.基于电压抗干扰因子与综合影响因子的电网关键节点辨识[J].电力自动化设备,2018,38(4):82-88,125. [11] 潘俊涛,彭建春,孙芊,等.基于前景理论的发电商电量分配策略[J].电网技术,2011,35(4):170-175. [12] 高山,王深哲,李海峰,等.基于前景理论的电网规划方案综合决策方法[J].电网技术,2014,38(8):2029-2036. [13] 王深哲,高山,李海峰,等.含高渗透率间歇性电源的电网规划方案优选方法[J].电网技术,2013,37(8):2129-2135. [14] 曹清山,郑梦莲,丁一,等.新电改背景下基于多属性决策的电力客户评估和选择研究[J].电网技术,2018,42(1):117-127. [15] 李如琦,唐林权,凌武能,等.基于云理论和前景理论的变压器状态维修风险决策[J].电力自动化设备,2013,33(2):104-108. [16] 朱国威,王先培,贺瑞娟,等.基于重要度评价矩阵的电网关键节点辨识[J].高电压技术,2016,42(10):3347-3353. [17] 鞠文云,李银红.基于最大流传输贡献度的电力网关键线路和节点辨识[J].电力系统自动化,2012,36(9):6-12. [18] 张海翔,吕飞鹏.基于保护脆弱度加权拓扑模型下的电网脆弱性评估[J].中国电机工程学报,2014,34(4):613-619. |