Smart Grid Architecture Model (SGAM) for resilience using Energy Internet of Things (EIoT)

Nandan Gopinathan, Prabhakar Karthikeyan Shanmugam, Manohar Singh
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Abstract

The significance of Smart Grid can be realized by the bidirectional communication channel between consumers and utility providers which gives accurate energy use data and demand response. Because of the all-new advanced architectures of the smart grid, the real-time power generation and all constraints of demand responses are met via communication channels and Energy Internet of Things (EIoT) based systems. The smart metering infrastructure is essential and must be the nodal points of measurement to anticipate high peaks of power demand or potential cyber attacks in order to avoid power outages of the grid. The paper suggests a novel architecture for the smart grid for grid resilience, which incorporates cloud computing resources and EIoT to do the energy consumption prediction, meeting the demand responses and keeping the grid away from cyber-attack threats. On the other side, the connectivity losses can be detected by Advanced metering infrastructure (AMI) with synchrophasor data analysis, and intrusions within the specific area of the network can be neutralized by advanced controllability concepts.
利用能源物联网(EIoT)实现弹性的智能电网架构模型(sgram)
智能电网的意义在于消费者和电力公司之间的双向通信渠道,它可以提供准确的能源使用数据和需求响应。由于智能电网的全新先进架构,实时发电和所有需求响应的约束都是通过通信渠道和基于能源物联网(EIoT)的系统来满足的。智能计量基础设施是必不可少的,必须是测量的节点,以预测电力需求高峰或潜在的网络攻击,以避免电网停电。本文提出了一种新的智能电网弹性体系结构,将云计算资源和EIoT结合起来进行能耗预测,满足需求响应,使电网免受网络攻击威胁。另一方面,可以通过具有同步数据分析的高级计量基础设施(AMI)检测连接损失,并且可以通过先进的可控性概念抵消网络特定区域内的入侵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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