| 引用本文: | 杨 杰,郭逸豪,郭创新,等.考虑模型与数据双重驱动的电力信息物理系统动态安全防护研究综述[J].电力系统保护与控制,2022,50(7):176-187.[点击复制] |
| YANG Jie,GUO Yihao,GUO Chuangxin,et al.A review of dynamic security protection on a cyber physical power system considering model and data driving[J].Power System Protection and Control,2022,50(7):176-187[点击复制] |
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| 摘要: |
| 数字革命的到来使智能电网运行安全防护问题从单一的物理层面防护扩展至信息物理协同防护，先进的网络安全威胁将会对电网物理侧造成严重影响。高效、可靠、实时的电网协同安全防护方法是智能电网发展的核心基础支撑。回顾了国内外相关研究。针对电力信息物理系统的内涵特征，提出了模型与数据双重驱动下的智能电网动态安全防护闭环控制思想，具体包括未知攻击快速入侵检测、信息物理穿透式风险评估及协同安全决策等三个科学问题。总结分析了智能电网安全防护现有的研究成果和缺陷并提出其未来研究方向，为建设本质安全的智能电网奠定理论和工程基础。 |
| 关键词: 智能电网 入侵检测 风险评估 协同安全 动态防护 |
| DOI：DOI: 10.19783/j.cnki.pspc.210899 |
| 投稿时间：2021-07-13修订日期：2021-10-31 |
| 基金项目:国家自然科学基金项目资助(U1866209) |
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| A review of dynamic security protection on a cyber physical power system considering model and data driving |
| YANG Jie,GUO Yihao,GUO Chuangxin,CHEN Zhe,WANG Shenghan |
| (1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2. Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, China) |
| Abstract: |
| The digital revolution has expanded the security protection of smart grid operation from the pure physical level protection to cyber physical synergistic protection. Advanced cyber threats can have a serious impact on the physical side of the grid. Efficient, reliable, and real-time synergistic protection methods are the core foundation support for the development of the smart grid. This paper reviews relevant research at home and abroad. In view of the connotative characteristics of the cyber physical power system, both a model and data-driven closed-loop control idea with three scientific issues is proposed, i.e., rapid intrusion detection of unknown attacks, penetration risk assessment of the cyber physical system and synergistic security decision making. Then, current research results and problems are summarized and analyzed, and future research directions are proposed to lay the theoretical and engineering foundation for building an intrinsically safe smart grid.
This work is supported by the National Natural Science Foundation of China (No. U1866209) |
| Key words: smart grid intrusion detection risk assessment synergistic security dynamic protection |
