电源学报

具有网络攻击防御力的DG变流器设计及其分布式控制

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韦永军 ¹ , 覃秋密 ²

电源学报 | 建模与控制 2025,23(5): 112-120

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电源学报 |建模与控制 2025 , 23 (5) : 112 -120

具有网络攻击防御力的DG变流器设计及其分布式控制

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韦永军¹, 覃秋密²

作者信息

^1.柳州铁道职业技术学院科技与图文信息处，柳州　545007

^2.柳州铁道职业技术学院建筑技术学院，柳州　545007

通讯作者:

韦永军（1983—　），男，通信作者，硕士，高级工程师。研究方向：信息安全及云计算。E-mail：ccnn1234562021@126.com。

作者简介:

覃秋密（1984—　），女，本科，讲师。研究方向：教学管理。E-mail：254011998@qq.com。

Design and Distributed Control of DG Converter with Cyber-attack Defense Capability

Yongjun WEI¹, Qiumi QIN²

Affiliations

^1.Department of Science, Technology and Graphic Information, Liuzhou Railway Vocational Technical College, Liuzhou 545007, China

^2.School of Architecture and Technology, Liuzhou Railway Vocational Technical College, Liuzhou 545007, China

出版时间: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.112

文章导航

摘要

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为了降低控制系统对通信网络的依赖性，直流微电网DC-MG（DC microgrid）通常采用分布式控制架构，然而由于缺乏全局信息，这种控制方式极易受到网络攻击，使得DC-MG存在较大安全隐患。网络攻击的种类较多，其中虚假数据注入攻击FDIA（false data injection attack）占比最高，其危害性也最大。基于此，针对FDIA造成DC-MG运行中断等不稳定问题，提出了1种基于前馈神经网络FNN（feedforward neural network）的DC-MG网络攻击检测与控制方法。该方法首先研究了FDIA造成控制系统不稳定的影响机理，建立了FDIA不稳定影响的数学模型；然后，利用FNN构建了智能估计器来监测DC-MG中分布式电源变换器的输出电流，并根据估计器的输出计算出FDIA的错误数据值；接着，针对错误数据的计算值，引入基于PI控制器的参考跟踪方法，以减少被攻击转换器中的错误数据，此外，所提方法还可消除所有高域不平衡攻击；最后，分别在MATLAB/Simulink和OPAL-RT环境下对所提方法进行了仿真和实验验证，仿真实验结果验证了所提方法的有效性。

关键词

直流微网 / 虚假数据注入攻击 / 前馈神经网络 / 网络攻击

Abstract

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To reduce the dependence of a control system on the communication network, a DC microgrid (DC-MG) usually adopts the distributed control architecture. However, due to the lack of global information, this control mode is highly vulnerable to cyber-attacks, which leads to greater security risks in the DC-MG. There are many types of cyber-attacks, among which the false data injection attacks (FDIA) account for the highest proportion and pose the biggest danger. On this basis, aimed at the instability problems such as interruption of DC-MG operation caused by FDIA, a DC-MG cyber-attack detection and control method based on feedforward neural network (FNN) is proposed. First, the influence mechanism of FDIA causing the instability of the control system is studied, and a mathematical model of instability caused by FDIA is established. Second, an intelligent estimator is constructed by using FNN to monitor the output current from a distributed power converter in the DC-MG, and the error data values of FDIA are calculated according to the output from the estimator. Third, aimed at the calculated values of error data, a reference tracking method based on a PI controller is introduced to reduce the error data in the attacked converter. In addition, the proposed method can eliminate all the high-domain unba-lanced attacks. Finally, the proposed method was simulated and verified by experiments carried out in MATLAB/Simulink and OPALRT, respectively, and results proved its effectiveness.

Key words

DC microgrid (DC-MG) / false data injection attack (FDIA) / feedforward neural network (FNN) / cyber-attack

引用本文

韦永军, 覃秋密. 具有网络攻击防御力的DG变流器设计及其分布式控制. 电源学报, 2025 , 23 (5) : 112 -120 . DOI: 10.13234/j.issn.2095-2805.2025.5.112

Yongjun WEI, Qiumi QIN. Design and Distributed Control of DG Converter with Cyber-attack Defense Capability[J]. Journal of Power Supply, 2025 , 23 (5) : 112 -120 . DOI: 10.13234/j.issn.2095-2805.2025.5.112

基金

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广西高校中青年教师基础能力提升项目(2020KY44016)

参考文献

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2025年第23卷第5期

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文章信息

doi: 10.13234/j.issn.2095-2805.2025.5.112

接收时间：2022-07-29
首发时间：2026-10-26
出版时间：2025-09-30

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出版历史

收稿日期：2022-07-29
修回日期：2022-11-29
录用日期：2022-12-28

基金

Basic Ability Improvement Project of Young and Middle-aged Teachers in Guangxi Universities(2020KY44016)

广西高校中青年教师基础能力提升项目(2020KY44016)

作者信息

^1.柳州铁道职业技术学院科技与图文信息处，柳州　545007

^2.柳州铁道职业技术学院建筑技术学院，柳州　545007

通讯作者:

韦永军（1983—　），男，通信作者，硕士，高级工程师。研究方向：信息安全及云计算。E-mail：ccnn1234562021@126.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.5.112

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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