Coverage and capacity analysis of wireless M2M technologies for smart distribution grid services
Coverage and capacity analysis of wireless M2M technologies for smart distribution grid services
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智能配网服务无线M2M技术覆盖及容量分析
DOI：
10.1109/smartgridcomm.2014.7007674
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
C. Wietfeld
中科院分区：
文献类型：
--
作者：
Christian Hägerling;Christoph Ide;C. Wietfeld
本文提供了一个性能评估的无线机器对机器技术的通信网络，使智能配电网的操作。将家庭集成到智能电网的不同架构解决方案提出的一项具有挑战性的任务是最后一英里连接。如今，部署用于自动抄表阅读的sub-GHz无线网络提供了一种可靠的解决方案，因为其频率范围较低，并且具有灵活的基础设施，可用于户外安装和低比特率长期间隔的专用抄表阅读服务。通过在智能电网中添加更多功能，如需求侧管理和家庭分布式能源，宽带无线电服务需要满足对数据速率，消息频率和服务质量的更高要求。因此，几个额外的频率选项讨论现有的宽带蜂窝系统，集中在智能电网设备的室外，室内和地下室安装的集成。在这项工作中，这些蜂窝网络的频率选项进行了分析，为多个安装场景的基础上，射线跟踪模拟，参考测量和分析信道模型和一种新的信道模型的预测建筑物的渗透损失地下室推导和提出。在第二步中，进行业务容量分析，以估计不同技术的系统性能参数，并显示实际部署场景对智能配电网场景的通信网络的网络规划的影响。
This paper provides a performance evaluation of wireless Machine-to-Machine technologies for communication networks enabling Smart Distribution Grid operation. A challenging task raised by different architectural solutions for integrating households into the Smart Grid is given by the last mile connectivity. Nowadays sub-GHz wireless networks deployed for automated meter reading offer a reliable solution due to the lower frequency range and flexible infrastructures for outhouse installations and dedicated meter reading service on a low-bitrate long-term interval. By adding more functionality, like demand side management and distributed energy resources at the households into the Smart Grid, broadband radio service are required to cover the higher demands on data rate, message frequency and quality-of-service. Therefore several additional frequency options are discussed for existing broadband cellular systems, focusing on the integration of outdoor, indoor and basement installation of the Smart Grid devices. Within this work, these frequency options for cellular networks are analyzed for multiple installation scenarios based on ray tracing simulation, reference measurements and analytical channel models and a novel channel model for the prediction of the building penetration loss to basements is derived and presented. In a second step a traffic capacity analysis is performed in order to estimate the system performance parameters of different technologies and to show the influence of actual deployment scenarios for network planning of communication networks for Smart Distribution Grid scenarios.