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作 者:艾洲 AI Zhou(Information Center of Guangxi Power Grid Co.,Ltd.,Guangxi Nanning 530023,China)
机构地区:[1]广西电网有限责任公司信息中心,广西南宁530023
出 处:《广西电力》2023年第5期53-61,共9页Guangxi Electric Power
摘 要:目前电力系统网络攻击的研究大多以单一攻击目标为背景,定性分析网络攻击的影响,难以直观了解网络攻击造成的破坏程度。为解决这一问题,提出了基于改进人工免疫算法的电力系统网络攻击破坏程度量化方法。首先,以复杂网络为基础建立电力系统非均匀耦合网络并分析了其社团结构特性,在此基础上给出了攻击传播概率的表征方法;然后,通过定义电力系统渗透攻击图,实现攻击策略集的构建;最后,以攻击策略作为模型约束,设计了连通效能和故障效果为目标的量化模型并改进人工免疫算法实现模型求解,预估网络攻击的破坏程度。通过算例仿真验证了量化方法的有效性。At present,research on power system network attacks mostly focuses on a single attack target,qualitatively analyzing the impact of network attacks,which is difficult to intuitively understand the degree of damage caused by network attacks.In order to solve this problem,a quantification method for the damage degree of network attack in power system based on an improved artificial immune algorithm is proposed.Firstly,a non-uniform coupled power system network is established based on complex networks and its community structure characteristics are analyzed.Based on this,a characterization method for attack propagation probability is proposed;Then,by defining the penetration attack graph of the power system,the construction of the attack strategy set is achieved;Finally,with attack strategies as model constraints,a quantitative model was designed with connectivity efficiency and fault effectiveness as objectives,and an improved artificial immune algorithm was used to solve the model and estimate the degree of network attack damage.The effectiveness of the quantization method was verified through numerical simulation.
关 键 词:电力信息物理系统 网络攻击 渗透依赖攻击图 量化模型 改进免疫算法
分 类 号:TM73[电气工程—电力系统及自动化] TP393.08[自动化与计算机技术—计算机应用技术]
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