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A Cluster Based Data Transmission Scheme for Distributed Photovoltaic Systems

机译:基于集群的分布式光伏系统数据传输方案

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Since the prosperity of the photovoltaic power generation industry, how to reduce the cost of a matched operation and maintenance system has become a hot topic. In this paper, a cluster based data transmission scheme is proposed in order to reduce the overall energy consumption and traffic cost of the system. In the clustering strategy, a cluster head (inverter) is selected according to the distance to the smart sub station. For each neighbor node of the cluster head, it will join in the cluster if data transmission will consume less energy through the cluster head. The process will be iteratively run until all nodes have been clustered. We adopt an energy consumption model and traffic cost models of China Mobile and China Telecom to evaluate the performance of the proposed scheme. Simulation results show that traffic cost can be greatly reduced by using different data packages. The utmost reduction achieves over 75%. The energy consumption can be reduced about 15%, and it is affected by various factors including the density of the inverters and the values of parameters.
机译:自光伏发电行业的繁荣以来,如何降低匹配运营和维护系统的成本已成为一个热门话题。本文提出了一种基于集群的数据传输方案,以减少系统的整体能耗和业务成本。在聚类策略中,根据到智能子站的距离选择簇头(逆变器)。对于群集头的每个邻居节点,如果数据传输将通过群集头部消耗较少的能量,它将加入群集中。该过程将迭代运行,直到所有节点已群集。我们采用中国移动和中国电信的能耗模型和交通成本模型,以评估拟议计划的表现。仿真结果表明,使用不同的数据包可以大大降低交通成本。最大的减少达到75%以上。能量消耗可以减少约15%,它受到各种因素的影响,包括逆变器的密度和参数的值。

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