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电网虚假数据注入攻击的双层优化模型
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1. 华北电力大学电气与电子工程学院, 北京市 102206; 2. 国网河南省电力公司洛阳供电公司, 河南省洛阳市 471000; 3. 中国长江三峡集团有限公司, 北京市 100038

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Bi-level Optimization Model of False Data Injection Attack for Power Grid
Author:
Affiliation:

1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; 2. State Grid Luoyang Power Supply Company, Luoyang 471000, China; 3. China Three Gorges Corporation, Beijing 100038, China

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    摘要:

    近年来随着智能电网技术和信息技术的发展,电力系统受到网络攻击的可能性越来越大。基于状态估计原理提出了虚假数据注入(FDI)攻击双层非线性优化模型。上层模型中,网络攻击方对电力系统测量数据展开攻击,其目的是寻找最优攻击方案使电力系统的经济损失最大化,以量测攻击范围和状态估计残差为约束条件,而下层模型采用安全约束经济调度模型,调度运行人员根据状态估计处理后的负荷数据优化调度电力系统的运行。针对双层优化模型的复杂性,利用KKT(Karush-Kuhn-Tucker)条件将其转化为单层非线性规划模型后求解。在GAMS上实现所提出虚假数据注入攻击非线性规划模型的编程仿真,并调用非线性规划求解器BARON进行求解。算例分析结果表明FDI双层优化攻击可能严重危害电力系统安全和经济运行,验证了所提出模型和方法的有效性。

    Abstract:

    With the development of smart grid technology and information technology in recent years, the possibility of cyber attacks in power system increases. A bi-level nonlinear optimization model of false data injection(FDI)attack is proposed based on the state estimation. In the upper level, the cyber attackers hack the measurement data of the power system with the purpose of finding the optimal attack strategy to maximize the economic loss of the power system while subjected to a list of constraints including the measuring attack range and state estimation residual error. The security-constrained economic dispatch model is used in the lower level and the power system operators perform the optimization dispatch of power system based on the load data disposed by the state estimation. In order to handle the complexity of the bi-level optimization model, the proposed model is transformed to single-level nonlinear planning model with KKT(Karush-Kuhn-Tucker)conditions. The programming simulation of nonlinear FDI attack model is implemented in GAMS and solved by using the nonlinear planning solver of BARON. The numerical results indicate that the bi-level FDI optimization attack could seriously deteriorate the secure and economic operation of power systems, and the effectiveness of the proposed approach is consequently validated.

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引用本文

舒隽,郭志锋,韩冰.电网虚假数据注入攻击的双层优化模型[J].电力系统自动化,2019,43(10):95-100. DOI:10.7500/AEPS20180420001.
SHU Jun, GUO Zhifeng,HAN Bing.Bi-level Optimization Model of False Data Injection Attack for Power Grid[J].Automation of Electric Power Systems,2019,43(10):95-100. DOI:10.7500/AEPS20180420001.

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历史
  • 收稿日期:2018-04-20
  • 最后修改日期:2019-02-28
  • 录用日期:2018-10-14
  • 在线发布日期: 2019-02-26
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