Vertical Information Integration for Cross Enterprise Business Processes in the Energy Domain

Gerdes, Christoph; Bartlang, Udo; Müller, Jörg P.

doi:10.1007/978-3-642-01668-4_1

Cited by 2 publications

(1 citation statement)

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“…Second, it is nonscalable in terms of data processing. As pointed out by Gerdes et al [23], due to the large data load, centralized processing becomes less and less feasible. Third, it is nonscalable in terms of communication resources used.…”

Section: Distributed Communication Architectures For Smart Gridmentioning

confidence: 99%

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

Zhou

Qian

2012

IEEE Trans. Parallel Distrib. Syst.

218

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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.

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Section: Distributed Communication Architectures For Smart Gridmentioning

confidence: 99%