基于竞争性SIR模型的电力社会耦合网络谣言影响研究  

Rumor Impact Study of Coupled Power Social Network Based on Competitive SIR Model

作　　者：鲁东兴 李琰 徐天奇 LU Dong-xing;LI Yan;XU Tian-qi(The Key Laboratory of Cyber-Physical Power System of Yunnan Colleges and Universities,Yunnan Minzu University,Kunming 650504,China)

机构地区：[1]云南民族大学云南省高校CPS融合系统重点实验室,云南昆明650504

出　　处：《云南民族大学学报（自然科学版）》2022年第4期465-472,共8页Journal of Yunnan Minzu University:Natural Sciences Edition

基　　金：国家自然科学基金(62062068);云南省教育厅科学研究基金(2022Y456).

摘　　要：为研究智能电网与在线社交网络耦合过程中,智能电网面对来自在线社交网络中谣言电价传播威胁问题,基于SIR模型分析谣言传播与控制的优势,构建了基于SIR模型的竞争性谣言与辟谣信息传播模型来表征在线社交网络中的谣言传播与控制过程来研究受谣言影响用户集合,接着以Louvain算法思想将在线社交网络用户社区化建模出电力网与在线社交网“部分一对多”耦合网络,针对所构建的模型设计了一种考虑不同用电群体的受影响用户负荷变化,对电力系统负荷变化的影响方法;进一步在IEEE30节点系统与Facebook在线社交网络构造的耦合网络中,得出不同的辟谣信息的开始传播时间、种子节点数量等因素在谣言传播情况下对电力系统负荷变化以及输电线路线路过载风险率的都具有显著影响.To study the threat of rumor propagation from online social networks in the process of coupling smart grid and online social networks,a competing rumor and disinformation propagation model based on SIR model is constructed to characterize the rumor propagation and control process in online social networks and to study the changes in the load of affected users of different power consumption groups,followed by modeling the community of online social network users with Louvain algorithm idea.In the coupled network constructed by the IEEE30 node system and the Facebook online social network,it is concluded that different factors such as the start time and the number of seed nodes of the disinformation have significant effects on the load change of the power system and the risk rate of overload of the transmission line circuit under the rumor spreading situation.

关 键 词：电力社会耦合网络 竞争性SIR模型 辟谣信息 电力负荷 

分 类 号：TM71[电气工程—电力系统及自动化]