用人工智能增强的智能电网架构用于电动汽车充电基础设施的网络入侵检测和缓解
Ankita Sharma1, Shalli Rani1, Mohammad Shabaz2
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Scientific reports
|July 2, 2025
概括
这项研究引入了人工智能增强型智能电网,以保护电动汽车 (EV) 充电基础设施免受网络威胁. 这种先进的系统增强了电网的弹性,并优化了能源的使用,以实现可持续的运输.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 网络安全 网络安全
背景情况:
- 电动汽车对于可持续的运输和减少排放至关重要.
- 将电动汽车集成到智能电网中,带来了重大的网络安全和运营挑战.
- 现有的电动汽车充电基础设施需要加强针对不断变化的网络威胁的安全措施.
研究的目的:
- 提出一个人工智能增强的智能电网架构,以实现安全高效的电动汽车充电.
- 识别和减轻针对电动汽车充电基础设施的网络安全威胁.
- 通过先进的人工智能模型优化能源利用并增强电网弹性.
主要方法:
- 开发一个人工智能驱动的安全框架与异常检测算法.
- 实时数据分析的实施,用于预测性威胁缓解.
- 整合车辆到电网 (V2G) 技术用于能量负载平衡.
主要成果:
- 拟议的框架显示出卓越的准确性 (96.8%),回忆 (96.0%) 和F1得分 (96.4%).
- 实现了98.9%的高网络攻击检测率.
- 在准确性,可扩展性和响应时间方面表现优于现有解决方案.
结论:
- 人工智能增强的智能电网架构提供了强大可靠的电动汽车充电基础设施.
- 该系统确保了一个安全,弹性和可持续的能源生态系统.
- 该框架提供了无的可扩展性和集成到现有的电动汽车充电系统.
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