• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information Sciences: An International Journal >A penalty-based adaptive secure estimation for power systems under false data injection attacks
【24h】

A penalty-based adaptive secure estimation for power systems under false data injection attacks

机译：虚假数据注入攻击下电力系统的基于惩罚的自适应安全估计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes a penalty-based adaptive secure estimation method for multi-area power systems under false data injection (FDI) attacks, the adaptive secure estimation method specifically takes the characteristics of FDI attacks into account. Firstly, a new measurement modeling is delicately constructed for subarea of power systems, in which both the state and FDI attack information are well considered. Secondly, for convenient solving of constructed mixed variational inequality (MVO, series virtual nodes are effectively introduced to transfer the multi-area power systems with boundary nodes to a boundary system. Then, a penalty-based distributed estimation method is proposed to estimate the state of multi-area power systems under FDI attacks, where the penalty parameter can be adaptively adjusted based on the dynamic internal error and boundary error. Compared with some existing methods, the efficiency and accuracy of proposed method are improved, and the state and attack signals can be estimated simultaneously. Finally, a case study shows the effectiveness of proposed method. (C) 2019 Elsevier Inc. All rights reserved.
机译：本文提出了一种基于惩罚基于的自适应安全估计，用于虚假数据喷射（FDI）攻击下的多区域电力系统，自适应安全估计方法专门考虑了FDI攻击的特征。首先，为电力系统的子区域精确构建了一种新的测量建模，其中态和FDI攻击信息都被考虑得很好。其次，为了方便地解决构造的混合变分不等式（MVO，有效地引入了串联虚拟节点以将带有边界节点的多区域电力系统传输到边界系统。然后，提出了一种基于惩罚的分布式估计方法来估计状态在FDI攻击下的多区域电力系统，可以基于动态内部误差和边界误差自适应地调整惩罚参数。与一些现有方法相比，提出了方法的效率和准确性，以及状态和攻击信号可以同时估计。最后，案例研究显示了所提出的方法的有效性。（c）2019年Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号