当前位置: X-MOL 学术Comput. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fastest adaptive estimation algorithms for topological structure errors in smart grid networks
Computer Communications ( IF 4.5 ) Pub Date : 2020-05-30 , DOI: 10.1016/j.comcom.2020.05.042
Huihong Xu

Compared with traditional wired networks, wireless sensor networks(WSN) have the characteristics of low cost and rapid deployment, and also guarantee the same level of fault tolerance as wired networks. The WSN can also monitor the operating status of the power grid in real time, collect physical information such as related parameters, and provide more comprehensive and complete power grid operation data as a reference basis for smart grid operation and related management personnel, and complete the diagnosis, monitoring and power statistics of smart grid equipment The rapid construction of the data communication network has become a key technology to effectively solve the problems of difficult optimization management and high cost and economic benefits in the smart grid. This paper discusses the application of WSNs in smart grids from two aspects. Firstly, construct a WSN topology that complies with the smart grid architecture, and establish a real-time routing mechanism that meets the requirements of smart distribution network communication reliability; secondly, propose a fastest adaptive algorithm for the fault of the WSN topology in the smart grid . The proposed adaptive routing mechanism has certain advantages in node energy consumption, which reduces energy consumption by nearly 4% compared to the directional diffusion method and the LEACH algorithm. Therefore, the algorithm is more suitable for the adaptation of WSN topology, and the method can Improve the life cycle of sensor nodes and networks.



中文翻译:

智能电网中拓扑结构错误的最快自适应估计算法

与传统的有线网络相比,无线传感器网络(WSN)具有成本低,部署迅速的特点,并且可以保证与有线网络具有相同水平的容错能力。WSN还可以实时监控电网运行状态,收集相关参数等物理信息,并提供更全面,完整的电网运行数据,作为智能电网运行及相关管理人员的参考依据,并完成相关工作。智能电网设备的诊断,监控和电力统计数据通信网络的快速建设已成为有效解决智能电网优化管理困难,成本和经济效益高的关键技术。本文从两个方面讨论了无线传感器网络在智能电网中的应用。首先,构建符合智能电网架构的WSN拓扑,建立满足智能配电网通信可靠性要求的实时路由机制。其次,针对智能电网中的无线传感器网络拓扑故障提出了一种最快的自适应算法。所提出的自适应路由机制在节点能耗方面具有一定优势,与定向扩散方法和LEACH算法相比,能耗降低了近4%。因此,该算法更适合于无线传感器网络拓扑的适应,并且可以改善传感器节点和网络的生命周期。建立满足智能配电网通信可靠性要求的实时路由机制;其次,针对智能电网中的无线传感器网络拓扑故障提出了一种最快的自适应算法。所提出的自适应路由机制在节点能耗方面具有一定优势,与定向扩散方法和LEACH算法相比,能耗降低了近4%。因此,该算法更适合于无线传感器网络拓扑的适应,并且可以改善传感器节点和网络的生命周期。建立满足智能配电网通信可靠性要求的实时路由机制;其次,针对智能电网中的无线传感器网络拓扑故障提出了一种最快的自适应算法。所提出的自适应路由机制在节点能耗方面具有一定优势,与定向扩散方法和LEACH算法相比,能耗降低了近4%。因此,该算法更适合于无线传感器网络拓扑的适应,并且可以改善传感器节点和网络的生命周期。与定向扩散方法和LEACH算法相比,能耗降低了近4%。因此,该算法更适合于无线传感器网络拓扑的适应,并且可以改善传感器节点和网络的生命周期。与定向扩散方法和LEACH算法相比,能耗降低了近4%。因此,该算法更适合于WSN拓扑的适应,并且可以改善传感器节点和网络的生命周期。

更新日期:2020-05-30
down
wechat
bug