新型电力系统分布式家庭光伏采集场景下的信任评估模型  

Trust evaluation model for distributed home photovoltaic collection scenarios in new power system

作　　者：李莉[1,2] 王小龙 张之欣 时榕良 郭旭 LI Li;WANG Xiaolong;ZHANG Zhixin;SHI Rongliang;GUO Xu(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China;Engineering Research Center of Intelligent Computing for Complex Energy System,Ministry of Education,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003 [2]华北电力大学复杂能源系统智能计算教育部工程研究中心,河北保定071003

出　　处：《通信学报》2023年第7期197-206,共10页Journal on Communications

摘　　要：针对现有传感器网络信任评估模型不能直接用于新型电力系统分布式家庭光伏采集场景,难以满足高防御力、强计算力需求的问题,提出了一种基于多指标检测的分布式动态信任评估模型。首先,根据终端节点历史交互情况进行基于贝叶斯的通信信任评估;然后,对当前采集数据进行基于自身历史数据支持度的感知信任评估与基于概率密度的区域信任评估;最后,利用熵权法对通信信任、感知信任和区域信任的自适应权重进行计算,引入活跃系数与双重奖惩机制综合计算后实现信任值的动态更新。实验结果表明,该四层信任评估模型适用于新型电力系统环境,并可在20轮交互周期内有效检测出分布式家庭光伏采集场景中,对物理环境因素、设备质量因素、人为误操作和恶意入侵等情况下的异常节点,实现动态、精准的信任评估。Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario,which was difficult to meet the require-ments of strong computing power and high defense power of the new power system,a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly,the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then,the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally,the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene,achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors,equipment quality factors,human misoperation and malicious intrusion.

关 键 词：传感器网络 信任评估 支持度 概率密度函数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]