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A smart grid based algorithm for improving energy efficiency of large scale cooperating distributed systems

机译:基于智能网格的大规模协作分布式系统能源效率提高算法

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摘要

A smart grid (SG) is a sophisticatedly integrated hybrid power generating system which allows bidirectional energy as well as management data exchanges. In this paper we look at improving energy efficiency in large scale cooperating power consuming as well as power generating systems. We discuss a clustered as well as hierarchical power scheduling algorithms that are geared towards optimizing the management of power tariffs, storage and distribution in a cooperative environment. From a generation perspective, solar intensity prediction is proposed for power generation forecasting and whereas from a power consumption perspective, we evaluate and model the power consumed by these distributed systems (consumers) and propose improving resource allocation, scheduling and network traffic management so as to make network and computing resources more power efficient.
机译:智能电网(SG)是复杂的集成混合发电系统,它允许双向能源以及管理数据交换。在本文中,我们着眼于在大型协作耗电以及发电系统中提高能源效率。我们讨论了一种集群以及分层的功率调度算法,这些算法旨在优化协作环境中的电价管理,存储和分配。从发电量的角度来看,提出了太阳能强度预测用于发电量预测,而从功耗的角度来看,我们对这些分布式系统(消费者)消耗的功率进行了评估和建模,并提出了改进资源分配,调度和网络流量管理的建议,使网络和计算资源更加节能。

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