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Gateway placement for wirless mesh networks in smart grid network planning

机译:智能电网网络规划中无线网状网络的网关放置

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Smart Grid components by nature, are spread over geographical locations, with generation points and consumption locations distributed and spread out on large areas, it is obvious that there is a need for a proper management of location intelligence. Location intelligence provides information essential for smart, efficient and self-healing systems. For upper management, it provides information used for making strategic decisions, mapping of customers, prospects and suppliers. Regarding operations, it gives information of different smart grid components such as smart meters, aggregators, substations, transformers and alternative energy sources. This paper deals with the placement of gateways for data aggregators in a Smart Grid, mainly for proposing a placement algorithm which increases the overall throughput of the network. The problem is treated from a networking point of view, by using wireless mesh networks as the communications environment and implementing a Maximum Traffic Flow Weight algorithm (MTFW) for defining an optimal position of gateways to data aggregators used in Automatic Metering Infrastructure (AMI). MTFW algorithm is tested by comparing it to other placement algorithms. It is further used for network planning implementation by using GIS data from a real life scenario. The resulting network plan is visualized with standard tool MapInfo Professional.
机译:本质上的智能电网组件,蔓延到地理位置,发电点和消费地点分布在大面积上,很明显需要适当管理地点智能。位置情报为智能,高效和自愈系统提供了必不可少的信息。对于上层管理,它提供了用于制定战略决策,客户,前景和供应商的映射的信息。关于操作,它提供了不同智能电网组件的信息,例如智能电表,聚合器,变电站,变压器和替代能源。本文涉及智能电网中数据聚合器的网关的位置,主要用于提出增加网络的整体吞吐量的放置算法。通过使用无线网状网络作为通信环境和实现用于定义自动计量基础设施(AMI)中使用的数据聚合器的最大流量重量算法(MTFW)来从网络角度来处理问题。通过将其与其他放置算法进行比较来测试MTFW算法。它还通过使用真实生活场景中的GIS数据进一步用于网络规划实现。由此产生的网络计划用标准工具MapInfo Professional可视化。

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