论文标题
识别智能网格系统中最脆弱的实体
Identification of the K-most Vulnerable Entities in a Smart Grid System
论文作者
论文摘要
智能网格系统可以被视为一个多层网络，其中一层具有电源网络，另一层是通信网络。两个层中的实体均表现出它们之间的复杂内部依赖性。智能电网操作员的可靠决策取决于对其实体之间此类依赖关系以及对系统中最关键实体的准确识别的正确分析。经过修改的隐含相互依存模型（MIIM）[1]在大多数现有模型中，使用多价值布尔逻辑的方程式（称为相互依赖关系（IDR））成功捕获了此类依赖关系。在本文中，对于任何给定的整数K，该模型用于识别智能网格中最脆弱的实体，其故障可以最大程度地造成网络损害。由于问题已完成，因此在此提供了基于整数线性编程（ILP）的解决方案。通过使用MATPOPTOR和JAVA网络模拟器（JNS）模拟IEEE 14公交车的智能网格系统来完成模型[1]的验证和基于ILP解决方案的结果。仿真结果证明，不仅MIIM [1]是正确的，而且还可以比其前身含义的相互依存模型（IIM）[2]更准确地预测K最脆弱实体失败的网络损害。
A smart grid system can be considered as a multi-layered network with power network in one layer and communication network in the other. The entities in both the layers exhibit complex intra-and-interdependencies between them. A reliable decision making by the smart grid operator is contingent upon correct analysis of such dependencies between its entities and also on accurate identification of the most critical entities in the system. The Modified Implicative Interdependency Model (MIIM) [1] successfully captures such dependencies using multi-valued Boolean Logic based equations called Interdependency Relations (IDRs) after most of the existing models made failed attempts in doing that. In this paper, for any given integer K, this model is used to identify the K-most vulnerable entities in a smart grid, failure of which can maximize the network damage. Owing to the problem being NP complete, an Integer Linear Programming (ILP) based solution is given here. Validation of the model [1] and the results of the ILP based solution is done by simulating a smart grid system of IEEE 14-Bus using MATPOWER and Java Network Simulator (JNS). Simulation results prove that not only the model MIIM [1] is correct but also it can predict the network damage for failure of K-most vulnerable entities more accurately than its predecessor Implicative Interdependency Model (IIM) [2].
