Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical a...Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.展开更多
创造性思维作为学生高阶思维能力的核心,近年来已成为高等教育研究的热点。教育信息化带来的学习方式变革能够更好地引导学生独立思考,为培养学生的创造性思维提供了便利条件。文章将CPS(Creative Problem Solving,创造性问题解决)模型...创造性思维作为学生高阶思维能力的核心,近年来已成为高等教育研究的热点。教育信息化带来的学习方式变革能够更好地引导学生独立思考,为培养学生的创造性思维提供了便利条件。文章将CPS(Creative Problem Solving,创造性问题解决)模型引入翻转课堂的教学环境中,对翻转课堂教学模式进行丰富和优化,设计出基于CPS模型的翻转课堂教学模式,并通过"JAVA语言程序设计"课程在Sakai网络学习平台下开展对比实验教学研究。研究结果表明,该模式较传统教学更能提升学生创造性问题解决的能力。展开更多
基金supported by the National Nature Science Foundation of China under 62203376the Science and Technology Plan of Hebei Education Department under QN2021139+1 种基金the Nature Science Foundation of Hebei Province under F2021203043the Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing Institute of Technology under No.XTCX202203.
文摘Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.
文摘创造性思维作为学生高阶思维能力的核心,近年来已成为高等教育研究的热点。教育信息化带来的学习方式变革能够更好地引导学生独立思考,为培养学生的创造性思维提供了便利条件。文章将CPS(Creative Problem Solving,创造性问题解决)模型引入翻转课堂的教学环境中,对翻转课堂教学模式进行丰富和优化,设计出基于CPS模型的翻转课堂教学模式,并通过"JAVA语言程序设计"课程在Sakai网络学习平台下开展对比实验教学研究。研究结果表明,该模式较传统教学更能提升学生创造性问题解决的能力。
