Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid

Abstract

In this paper, we investigate the scalability of three communication architectures for advanced metering infrastructure (AMI) in smart grid. AMI in smart grid is a typical cyber-physical system (CPS) example, in which large amount of data from hundreds of thousands of smart meters are collected and processed through an AMI communication infrastructure. Scalability is one of the most important issues for the AMI deployment in smart grid. In this study, we introduce a new performance metric, accumulated bandwidthdistance product (ABDP), to represent the total communication resource usages. For each distributed communication architecture, we formulate an optimization problem and obtain the solutions for minimizing the total cost of the system that considers both the ABDP and the deployment cost of the meter data management system (MDMS). The simulation results indicate the significant benefits of the distributed communication architectures over the traditional centralized one. More importantly, we analyze the scalability of the total cost of the communication system (including MDMS) with regard to the traffic load on the smart meters for both the centralized and the distributed communication architectures. Through the closed form expressions obtained in our analysis, we demonstrate that the total cost for the centralized architecture scales linearly as OðNÞ, with N being the number of smart meters, and being the average traffic rate on a smart meter. In contrast, the total cost for the fully distributed communication architecture is Oð 2 3 N 2 3 Þ, which is significantly lower.

Multidisciplinary Approach for the Development of Smart Distribution Networks

“…The core of an operation center is the metering data management system (MDMS) [119,122,125]. It is responsible for analyzing and storing metering data, controlling SMs remotely, and performing billing operations.…”

A Scalability Comparison Study of Data Management Approaches for Smart Metering Systems

“…Many energy utilities providers rely on legacy relational systems in order to manage their data because of their level of reliability and familiarity, such as with Teradata [31]. However in recent years, novel approaches to provide scalable data management approaches for smart grids data have been introduced [32], [33], [34]. In [32], the authors propose to leverage Cloud Computing paradigm to manage smart grid data.…”

Esquemas de trasmisión de datos en una Microrred a través de una Infraestructura de medición avanzada

“…Para esto los esquemas de comunicaciones propuestos requieren de la evaluación de diversos parámetros claves como lo son el tiempo de retardo y la perdida de datos, teniendo estos últimos gran impacto en los esquemas de control en frecuencia que operan en modo isla [10], también lo es el área de cobertura [11], [12]; el tráfico de datos que permiten medir el desempeño de la red en términos de escalabilidad [13], y confiabilidad [14] al momento en que se enlazan nuevos dispositivos a la red, esto se refleja en el producto ancho de banda-distancia acumulado y la tasa de error en la transmisión de datos. Estos aspectos deben definirse para la adecuada operación y gestión de los recursos en una microrred.…”