We present a novel transient fault detection and classification approach in power transmission lines based on graph convolutional neural network.Compared with the existing techniques,the proposed approach considers ex...We present a novel transient fault detection and classification approach in power transmission lines based on graph convolutional neural network.Compared with the existing techniques,the proposed approach considers explicit spatial information in sampling sequences as prior knowledge and it has stronger feature extraction ability.On this basis,a framework for transient fault detection and classification is created.Graph structure is generated to provide topology information to the task.Our approach takes the adjacency matrix of topology graph and the bus voltage signals during a sampling period after transient faults as inputs,and outputs the predicted classification results rapidly.Furthermore,the proposed approach is tested in various situations and its generalization ability is verified by experimental results.The results show that the proposed approach can detect and classify transient faults more effectively than the existing techniques,and it is practical for online transmission line protection for its rapidness,high robustness and generalization ability.展开更多
在电力调度的高峰时段,实时数据网络通信需求激增,同步数字体系(Synchronous Digital Hierarchy,SDH)架构带宽利用率低,出现传输瓶颈,无法满足网络传输的需求,影响电力调度实时性。因此,文章提出设计电力调度通信网络SDH传输架构。通过...在电力调度的高峰时段,实时数据网络通信需求激增,同步数字体系(Synchronous Digital Hierarchy,SDH)架构带宽利用率低,出现传输瓶颈,无法满足网络传输的需求,影响电力调度实时性。因此,文章提出设计电力调度通信网络SDH传输架构。通过优化后的电力调度通信网络设备,调整通信网络SDH拓扑结构,确定合适的节点位置,优化通信网络SDH传输通路组织。同时,加强网络电力调度通信安全防护。根据仿真测试结果,文章方法的信息传输平均速率为1.94 Mb/s,数据同步完成时间为8 s,证明通过优化设计,可以提高电力调度通信网络SDH传输架构的传输效率和电力系统的稳定性。展开更多
The topology control is an effective approach which can improve the quality of wireless sensor network at all sides. Through studying the mechanism of sensor network data transmission, the nature of data transmission ...The topology control is an effective approach which can improve the quality of wireless sensor network at all sides. Through studying the mechanism of sensor network data transmission, the nature of data transmission in wireless sensor network is concluded as a kind of responsibility transmission. By redefining the responsibility and availability of nodes, the strategy for cluster head selection is studied, the responsibility and availability is determined by the combination of the residual energy, location and current flow of nodes. Based on the above, new clustering network topology control algorithm based on responsibility transmission CNTCABRT and hierarchical multi-hop CNTCABRT is presented in this paper, whose algorithm structure is along the famous LEACH algorithm. Experimental result demonstrates its promising performance over the famous LEACH algorithm in the cluster head selection, the size of cluster, the deployment of nodes and the lifetime of nodes, and several innovative conclusions are proposed finally.展开更多
基金This work was supported by the National Key Research and Development Program of China under Grant 2018YFF0214704.
文摘We present a novel transient fault detection and classification approach in power transmission lines based on graph convolutional neural network.Compared with the existing techniques,the proposed approach considers explicit spatial information in sampling sequences as prior knowledge and it has stronger feature extraction ability.On this basis,a framework for transient fault detection and classification is created.Graph structure is generated to provide topology information to the task.Our approach takes the adjacency matrix of topology graph and the bus voltage signals during a sampling period after transient faults as inputs,and outputs the predicted classification results rapidly.Furthermore,the proposed approach is tested in various situations and its generalization ability is verified by experimental results.The results show that the proposed approach can detect and classify transient faults more effectively than the existing techniques,and it is practical for online transmission line protection for its rapidness,high robustness and generalization ability.
文摘在电力调度的高峰时段,实时数据网络通信需求激增,同步数字体系(Synchronous Digital Hierarchy,SDH)架构带宽利用率低,出现传输瓶颈,无法满足网络传输的需求,影响电力调度实时性。因此,文章提出设计电力调度通信网络SDH传输架构。通过优化后的电力调度通信网络设备,调整通信网络SDH拓扑结构,确定合适的节点位置,优化通信网络SDH传输通路组织。同时,加强网络电力调度通信安全防护。根据仿真测试结果,文章方法的信息传输平均速率为1.94 Mb/s,数据同步完成时间为8 s,证明通过优化设计,可以提高电力调度通信网络SDH传输架构的传输效率和电力系统的稳定性。
文摘The topology control is an effective approach which can improve the quality of wireless sensor network at all sides. Through studying the mechanism of sensor network data transmission, the nature of data transmission in wireless sensor network is concluded as a kind of responsibility transmission. By redefining the responsibility and availability of nodes, the strategy for cluster head selection is studied, the responsibility and availability is determined by the combination of the residual energy, location and current flow of nodes. Based on the above, new clustering network topology control algorithm based on responsibility transmission CNTCABRT and hierarchical multi-hop CNTCABRT is presented in this paper, whose algorithm structure is along the famous LEACH algorithm. Experimental result demonstrates its promising performance over the famous LEACH algorithm in the cluster head selection, the size of cluster, the deployment of nodes and the lifetime of nodes, and several innovative conclusions are proposed finally.
