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Communication Technologies for Efficient Energy Management in Smart Grid

机译:用于智能电网中高效能源管理的通信技术

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The existing radial topology makes the power system less reliable since any part in the system failure will disrupt electrical power delivery in the network. The increasing security concerns, electrical energy theft, and present advancement in Information and Communication Technologies are some factors that led to modernization of power system. In a smart grid, a network of smart sensors offers numerous opportunities that may include monitoring of power, consumer-side energy management, synchronization of dispersed power storage, and integrating sources of renewable energy. Smart sensor networks are low cost and are ease to deploy hence they are favorable contestants for deployment smart power grids at a larger scale. These networks will result in a colossal volume of dissimilar range of data that require an efficient processing and analyzing process in order to realize an efficient smart grid. The existing technology can be used to collect data but dealing with the collected information proficiently as well as mining valuable material out of it remains challenging. The paper investigates communication technologies that maybe deployed in a smart grid. In this paper simulations results for the Additive White Gaussian Noise (AWGN) channel are illustrated. We propose a model and a communication network domain riding on the power system domain. The model was interrogated by simulation in MATLAB.
机译:现有的径向拓扑使电力系统的可靠性降低,因为系统故障中的任何部分都会中断网络中的电力输送。越来越多的安全问题,电能盗窃以及信息和通信技术的最新发展是导致电力系统现代化的一些因素。在智能电网中,智能传感器网络提供了众多机会,其中可能包括电力监控,用户方能源管理,分散式储能的同步以及整合可再生能源。智能传感器网络成本低廉且易于部署,因此它们是大规模部署智能电网的有利竞争者。这些网络将导致大量不同范围的数据,需要有效的处理和分析过程才能实现高效的智能电网。可以使用现有技术来收集数据,但是要熟练地处理收集到的信息以及从中挖掘出有价值的材料仍然具有挑战性。本文研究了可能部署在智能电网中的通信技术。本文说明了加性高斯白噪声(AWGN)通道的仿真结果。我们提出了一个模型和一个基于电力系统领域的通信网络领域。通过在MATLAB中进行仿真来查询该模型。

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