摘要
水电站在电力生产中占有重要份额,在可持续能源中脱颖而出。然而,这些电站的网络安全漏洞可能会导致严重后果。网络安全测试对于识别和解决这些漏洞至关重要。在此背景下,数字孪生模型能够在与真实环境相似的条件下进行网络安全测试。通过构建与国内某水电站物理系统相对应的数字孪生模型,利用Modbus TCP协议编写Python代码以收集水电站实时数据并进行模拟运行,各种网络安全测试结果表明未经授权的数据篡改可能会对水电站的性能和产量产生不利影响,揭示了可能危及水电站运行和安全性的漏洞。
Hydropower stations have a significant share in electricity production,standing out among sustainable energy sources.However,cybersecurity breaches in these power plants can lead to serious consequences.Cybersecurity testing is essential for identifying and addressing these vulnerabilities.In this context,the digital twin model can perform network security testing under conditions similar to the real environment,this paper builds a digital twin model corresponding to the physical system of a domestic hydropower station,uses the Modbus TCP protocol to write Python code to collect real-time data of the hydropower station and conducts simulated operation,and conducts various network security tests,showing that unauthorized data tampering may adversely affect the performance and output of the plant,revealing vulnerabilities that may endanger the operation and security of the power station.
作者
周建丞
ZHOU Jiancheng(Chongqing Datang International Pengshui Hydropower Development Co.,Ltd.,Chongqing 409600,China)
出处
《电工技术》
2026年第2期130-132,共3页
Electric Engineering
关键词
数字孪生
网络安全
关键基础设施
digital twins
cybersecurity
critical infrastructure
