基于事件触发和欺骗攻击的电力系统负荷频率控制

doi:10.3969/j.issn.1672-6952.2022.04.014

辽宁石油化工大学学报 ›› 2022, Vol. 42 ›› Issue (4): 87-96.DOI: 10.3969/j.issn.1672-6952.2022.04.014

• 信息与控制工程（复杂系统智能控制专栏） • 上一篇

基于事件触发和欺骗攻击的电力系统负荷频率控制

季博威(), 张笑, 严沈, 顾洲()

南京林业大学机械电子工程学院，江苏南京 210037

收稿日期:2022-06-11 修回日期:2022-07-22 出版日期:2022-08-25 发布日期:2022-09-26
通讯作者: 顾洲
作者简介:季博威（1998⁃），男，硕士研究生，从事事件触发控制等方面研究；E⁃mail：13776623853@163.com。
基金资助:
国家自然基金青年基金项目(6210021545)

Event⁃Triggered and Deception Attack⁃Based Load Frequency Control for Power Systems

Bowei Ji(), Xiao Zhang, Shen Yan, Zhou Gu()

School of Mechanical and Electronic Engineering，Nanjing Forestry University，Nanjing Jiangsu 210037，China

Received:2022-06-11 Revised:2022-07-22 Published:2022-08-25 Online:2022-09-26
Contact: Zhou Gu

摘要/Abstract

摘要：

随着网络化电力系统复杂程度越来越高，传统的控制方案很难满足实际需求，带宽受限、网络安全，以及执行器饱和等问题成为影响电力系统稳定性的重要因素。针对带宽资源受限问题，引入改进的事件触发机制以提高带宽资源的利用率；同时，构造欺骗攻击和执行器饱和下的电力系统新的数学模型；基于该系统模型，根据Lyapunov理论推导出电力系统稳定的充分条件，并利用线性矩阵不等式（LMI）技术，给出安全控制器的设计方案；最后，通过一个电力系统实例来说明所提方案的有效性。

关键词: 网络控制系统, 自适应事件触发机制, 网络攻击, 执行器饱和

Abstract:

With the increasing complexity of networked power systems, traditional control schemes are difficult to meet the actual needs. Bandwidth constraints, network security and actuator saturation have become important factors affecting the stability of power systems. An improved event trigger mechanism was introduced to improve the utilization rate of bandwidth resources for the problem of bandwidth resource limitation, and a new mathematical model of power system under deception attack and actuator saturation was constructed. Based on this number model, the sufficient conditions for the asymptotic stability of the power system were obtained by Lyapunov theory, and the design scheme of the security controller was given by using linear matrix inequality technique. Finally, an example of power system was given to illustrate the effectiveness of the proposed scheme.

Key words: Network control systems, Adaptive event triggering mechanism, Network attacks, Actuator saturation

中图分类号:

TM761

季博威, 张笑, 严沈, 顾洲. 基于事件触发和欺骗攻击的电力系统负荷频率控制[J]. 辽宁石油化工大学学报, 2022, 42(4): 87-96.

Bowei Ji, Xiao Zhang, Shen Yan, Zhou Gu. Event⁃Triggered and Deception Attack⁃Based Load Frequency Control for Power Systems[J]. Journal of Liaoning Petrochemical University, 2022, 42(4): 87-96.

图/表 6

图1 基于自适应事件触发机制的电力系统结构

表1 系统模型参数

参数	数值
M	0.166 7
$J$	2.4
T $g$	0.08
T $c h$	0.3
$μ$	0.425
$E$	0.008 3

表1 系统模型参数

参数	数值
M	0.166 7
$J$	2.4
T $g$	0.08
T $c h$	0.3
$μ$	0.425
$E$	0.008 3

图2 基于自适应事件触发机制的LFC电力系统状态响应

图3 LFC电力系统自适应律响应曲线

图4 LFC电力系统的控制输入响应曲线

图5 信号传输的触发时刻和触发间隔时间

参考文献 16

1	Tang Y， He H， Wen J， et al. Power system stability control for a wind farm based on adaptive dynamic programming［J］. IEEE Transactions on Smart Grid， 2017， 6（1）：166⁃177.
2	Liu F， Li Y， Cao Y， et al. A two⁃layer active disturbance rejection controller design for load frequency control of interconnected power system［J］. IEEE Transactions on Power Systems， 2016，31（4）：3320⁃3321.
3	Ark D， Kanti S M， Pankhuri A， et al. Event⁃triggered adaptive integral higher⁃order sliding mode control for load frequency problems in multi⁃area power systems［J］. Iranian Journal of Science and Technology， Transactions of Electrical Engineering， 2018， 43：137⁃152.
4	Wen S， Yu X， Zeng Z， et al. Event⁃triggering load frequency control for multiarea power systems with communication delays［J］. IEEE Transactions on Industrial Electronics， 2016， 63（2）：1308⁃1317.
5	Gu Z， Shi P， Yue D， et al. Memory⁃based continuous event⁃triggered control for networked T⁃S fuzzy systems against cyber⁃attacks［J］. IEEE Transactions on Fuzzy Systems， 2021，39（10）：3118⁃3129.
6	Sun X， Gu Z， Yang F， et al. Memory⁃event⁃trigger⁃based secure control of cloud⁃aided active suspension systems against deception attacks［J］. Information Sciences， 2020， 543：1⁃17.
7	Dong Y， Tian E， Han Q L. A delay system method for designing event⁃triggered controllers of networked control systems［J］. IEEE Transactions on Automatic Control， 2013， 58（2）：475⁃481.
8	Gu Z， Zhang T， Yang F， et al. A novel event⁃triggered mechanism for networked cascade control system with stochastic nonlinearities and actuator failures［J］. Journal of the Franklin Institute， 2019，356（4）：1955⁃1974.
9	Zha L， Tian E， Xie X， et al. Decentralized event⁃triggered H_∞ control for neural networks subject to cyber⁃attacks［J］. Information Sciences， 2018，457：141⁃155.
10	Liu J， Wu Z G， D Yue， et al. Stabilization of networked control systems with hybrid⁃driven mechanism and probabilistic cyber attacks［J］. IEEE Transactions on Systems， Man， and Cybernetics： Systems， 2021，51（2）：943⁃953.
11	Ding D， Wei G， Zhang S， et al. On scheduling of deception attacks for discrete⁃time networked systems equipped with attack detectors［J］. Neurocomputing， 2017， 219：99⁃106.
12	Wu J C， Chen P， Jin Z， et al. Event⁃triggered finite⁃time H_∞ filtering for networked systems under deception attacks［J］. Journal of the Franklin Institute， 2020， 357（6）：3792⁃3808.
13	Su X H， Liu Z， Lai G Y， et al. Direct adaptive compensation for actuator failures and dead⁃zone constraints in tracking control of uncertain nonlinear systems［J］. Information Sciences， 2017，417：328⁃343.
14	Li L， Zou W， Fei S. Event⁃triggered synchronization of delayed neural networks with actuator saturation using quantized measurements［J］. Journal of the Franklin Institute， 2019， 356（12）：6433⁃6459.
15	Liu J， Gu Y， Xie X， et al. Hybrid⁃driven⁃based H_∞ control for networked cascade control systems with actuator saturations and stochastic cyber attacks［J］. IEEE Transactions on Systems， Man， and Cybernetics： Systems， 2019，49（12）：2452⁃2463.
16	Yang W， Tong S. Output feedback robust stabilization of switched fuzzy systems with time⁃delay and actuator saturation［J］. Neurocomputing， 2015， 164：173⁃181.

基于事件触发和欺骗攻击的电力系统负荷频率控制

Event⁃Triggered and Deception Attack⁃Based Load Frequency Control for Power Systems

HTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 16

相关文章 0

编辑推荐

Metrics