基于监督重启的电力系统网络安全防御策略

doi:10.3969/j.issn.1671-1122.2025.06.006

信息网络安全 ›› 2025, Vol. 25 ›› Issue (6): 910-919.doi: 10.3969/j.issn.1671-1122.2025.06.006

• 专题论文: 网络主动防御 • 上一篇下一篇

基于监督重启的电力系统网络安全防御策略

施开波¹^,², 丁甲³, 王俊³(), 蔡肖⁴^,⁵

1.四川大学电气工程学院，成都 610065
2.成都大学电子信息与电气工程学院，成都 610106
3.西南民族大学电气工程学院，成都 610041
4.广州大学网络空间先进技术研究院，广州 510006
5.广东省工业控制系统攻防对抗重点实验室，广州 510006

收稿日期:2025-02-25 出版日期:2025-06-10 发布日期:2025-07-11
通讯作者: 王俊 13880458609@139.com
作者简介:施开波（1983—），男，安徽，教授，博士，主要研究方向为网络化控制系统、智能电网、神经网络|丁甲（2000—），男，河南，硕士研究生，主要研究方向为智能电网|王俊（1988—），女，四川，副教授，博士，主要研究方向为智能电网、神经网络、网络化控制系统|蔡肖（1995—），男，广东，博士，主要研究方向为网络化控制系统、工业控制系统及安全。
基金资助:
国家自然科学基金(62402129);国家自然科学基金(62272119);国家自然科学基金(62372126);国家自然科学基金(62372129);国家自然科学基金(U2436208);国家自然科学基金(U2468204);中国博士后创新人才支持计划(BX20240095);中国博士后科学基金(2024M750616);四川省科技计划(25NSFSC2581);四川省科技计划(2024NSFSC2056);广东省科技计划(2024B0101010002);广东省基础与应用基础研究基(2020A1515010450);广东省基础与应用基础研究基金(2021A1515012307);广东省工业控制系统攻防对抗重点实验室项目(2024B1212020010);西南民族大学青藏高原研究科技创新团队项目(2024CXTD03)

Supervised Restart-Based Cybersecurity Defense Strategy for Power Systems

SHI Kaibo¹^,², DING Jia³, WANG Jun³(), CAI Xiao⁴^,⁵

1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
2. School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu 610106, China
3. College of Electrical Engineering, Southwest Minzu University, Chengdu 610041, China
4. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China
5. Guangdong Key Laboratory of Industrial Control System Security, Guangzhou 510006, China

Received:2025-02-25 Online:2025-06-10 Published:2025-07-11

摘要/Abstract

摘要：

随着电力系统的数字化发展，电力系统中监控与数据采集网络带来了网络安全风险，文章聚焦于车网互联电力系统在拒绝服务攻击下的主动防御体系构建，首先构建了车网互联电力系统的负载频率控制架构，通过引入动态事件触发方案设计优化通信效率，以降低网络带宽占用。同时提出一种监督重启控制器策略，该策略对控制器反馈进行实时监测，当检测到控制器反馈异常时，触发控制器动态重启以主动隔离异常。然后，通过构造合适的Lyapunov-Krasovskii函数，推导出系统在拒绝服务攻击下的指数稳定性判据，为防御策略参数设计提供量化依据。最后，通过仿真实验验证了所提方案的有效性。

关键词: 车网互联电力系统, 负荷频率控制, 拒绝服务攻击, 李雅普诺夫泛函, 网络安全防御策略

Abstract:

With the digital development of power systems, the monitoring and data acquisition networks in power systems bring network security risks. This paper study focused on the construction of an active defense strategy under denial-of-service (DoS) attacks in vehicle-to-grid power systems. Firstly, a load-frequency control strategy was constructed for the power system, and a dynamic event triggering scheme design was introduced to optimize the communication efficiency in order to reduce the network bandwidth consumption. Besieds, a supervised restart controller algorithm was proposed, which monitored the controller response in real time, and triggered the controller to restart dynamically when an abnormality was detected. Further, by constructing appropriate Lyapunov-Krasovskii functionals, the exponential stability criterion of the system under DoS attacks was derived, which provided a quantitative basis for the parameter design of the defense strategy. Finally, the effectiveness of the proposed scheme is verified by simulation experiment.

Key words: vehicle-to-grid power system, load frequency control, DoS attacks, Lyapunov functional, cybersecurity defense strategy

中图分类号:

TP309

施开波, 丁甲, 王俊, 蔡肖. 基于监督重启的电力系统网络安全防御策略[J]. 信息网络安全, 2025, 25(6): 910-919.

SHI Kaibo, DING Jia, WANG Jun, CAI Xiao. Supervised Restart-Based Cybersecurity Defense Strategy for Power Systems[J]. Netinfo Security, 2025, 25(6): 910-919.

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参考文献 17

[1]	SHANGGUAN Xingchen, Sampled-Data-Based Load Frequency Control for Power Systems with Open Communication Networks in Loop[D]. Wuhan: China University of Geosciences, 2021.
	上官星辰. 面向开放通信网络在环电力系统的采样负荷频率控制研究[D]. 武汉: 中国地质大学, 2021.
[2]	ZHANG Xudong, Research on Load Frequency Control Method Based on Event-Triggered under DoS Attacks[D]. Changchun: Changchun University of Technology, 2022.
	张旭东. DoS攻击下基于事件触发的负荷频率控制方法研究[D]. 长春: 长春工业大学, 2022.
[3]	YANG Jin, ZHONG Qishui, SHI Kaibo, et al. Stability and Stabilization for T-S Fuzzy Load Frequency Control Power System with Energy Storage System[J]. IEEE Transactions on Fuzzy Systems, 2023, 32(3): 893-905.
[4]	WADI M, SHOBOLE A, ELMASRY W, et al. Load Frequency Control in Smart Grids: A Review of Recent Developments[EB/OL]. (2023-10-31)[2025-02-20]. https://www.sciencedirect.com/science/article/abs/pii/S1364032123008717.
[5]	CHEN Pengcheng, LIU Shichao, CHEN Bo, et al. Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems against DoS Attacks[J]. IEEE Transactions on Smart Grid, 2022, 13(3): 1739-1750.
[6]	SHANGGUAN Xingchen, ZHANG Chuanke, HE Yong, et al. Robust Load Frequency Control for Power System Considering Transmission Delay and Sampling Period[J]. IEEE Transactions on Industrial Informatics, 2020, 17(8): 5292-5303.
[7]	ZHANG Xianming, HAN Qinglong, GE Xiaohua, et al. Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems under Denial-of-Service Attacks[J]. IEEE Transactions on Cybernetics, 2019, 50(8): 3616-3626.
[8]	LI Wanqing, ZHU Li, LIU Xing’an, et al. Cybersecurity Protection Technologies for Critical Information Infrastructure in Hydropower Plants[J]. Netinfo Security, 2024, 24(12): 1955-1962.
	李万青, 朱丽, 刘兴安, 等. 水力发电站关键信息基础设施网络安全防护技术[J]. 信息网络安全, 2024, 24(12):1955-1962.
[9]	CAI Xiao, SHI Kaibo, SUN Yanbin, et al. Intelligent Event-Triggered Control Supervised by Mini-Batch Machine Learning and Data Compression Mechanism for TS Fuzzy NCSs under DoS Attacks[J]. IEEE Transactions on Fuzzy Systems, 2023, 32(3): 804-815.
[10]	XIE Ying, ZENG Zhu, HU Wei, et al. A False Data Injection Attack Detecting and Compensating Method[J]. Netinfo Security, 2023, 23(6): 22-33.
	谢盈, 曾竹, 胡巍, 等. 一种虚假数据注入攻击检测与补偿方法[J]. 信息网络安全, 2023, 23(6):22-33.
[11]	GUO Ziyang, SHI Dawei, JOHANSSON K H, et al. Optimal Linear Cyber-Attack on Remote State Estimation[J]. IEEE Transactions on Control of Network Systems, 2016, 4(1): 4-13.
[12]	DING Derui, HAN Qinglong, XIANG Yang, et al. A Survey on Security Control and Attack Detection for Industrial Cyber-Physical Systems[J]. Neurocomputing, 2018, 275: 1674-1683.
[13]	ZHONG Qishui, YANG Jin, SHI Kaibo, et al. Event-Triggered H∞ Load Frequency Control for Multi-Area Nonlinear Power Systems Based on Non-Fragile Proportional Integral Control Strategy[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(8): 12191-12201.
[14]	TIAN Engang, PENG Chen. Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems under Deception Attacks[J]. IEEE Transactions on Cybernetics, 2020, 50(11): 4610-4618.
[15]	YANG Hongchenyu, PENG Chen, CAO Zhiru. Attack-Model-Independent Stabilization of Networked Control Systems under a Jump-Like TOD Scheduling Protocol[EB/OL]. (2023-03-11)[2025-02-20]. https://www.sciencedirect.com/science/article/abs/pii/S0005109823001358.
[16]	HU Songlin, YUE Dong, HAN Qinglong, et al. Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks[J]. IEEE Transactions on Cybernetics, 2019, 50(5): 1952-1964.
[17]	XIONG Du, ZHANG Chuanke, WAN Xiongbo, et al. Stability and Stabilization of T-S Fuzzy Systems under Sampled-Data Control via a Matrix-Separation-Based Inequality[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4312-4323.

基于监督重启的电力系统网络安全防御策略

Supervised Restart-Based Cybersecurity Defense Strategy for Power Systems

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