scholarly journals Data Storage and Maintenance Challenges: The Case of Advanced Metering Infrastructure Systems

10.29007/x6sn ◽  
2018 ◽  
Author(s):  
Lucas Pereira ◽  
Rodolfo Gonçalves ◽  
Filipe Quintal ◽  
Nuno Nunes
Keyword(s):  
Social Media ◽  
Data Storage ◽  
Smart Grids ◽  
Digital Age ◽  
Smart Phones ◽  
Advanced Metering Infrastructure ◽  
Trade Off ◽  
Infrastructure Systems ◽  
Database Size ◽  
Advanced Metering

In today’s digital age, massive amounts of data are steadily being generated from various sources, such as smart-phones and social media. Smart-Grids are among the fields that are currently experiencing a burst in the data being generated, in part due to the recent investments in Advanced Metering Infrastructure Systems. In this paper, we present a benchmark between MySQL and MongoDB, when used to store and maintain the data that results from Advanced Metering Infrastructure Systems deployments. Our results show that MongoDB clearly outperforms MySQL for reading operations but at a cost of a much larger database size. As such, when deploying such systems, developers should be aware of this important trade-off that may greatly affect the overall experience.

scholarly journals Communication Performance Assessment for Advanced Metering Infrastructure

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 88 ◽  
Author(s):  
Jen-Hao Teng ◽  
Chia-Wei Chao ◽  
Bin-Han Liu ◽  
Wei-Hao Huang ◽  
Jih-Ching Chiu
Keyword(s):  
Smart Grids ◽  
Small Scale ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Communication Performance ◽  
Reading Success ◽  
Efficient Communication ◽  
Advanced Metering ◽  
Communication Paths

Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.

scholarly journals A Data Analytics/Big Data Framework for Advanced Metering Infrastructure Data

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5650
Author(s):  
Jenniffer S. Guerrero-Prado ◽  
Wilfredo Alfonso-Morales ◽  
Eduardo F. Caicedo-Bravo
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart Grids ◽  
Data Analytics ◽  
Electricity Consumption ◽  
Advanced Metering Infrastructure ◽  
Data Interoperability ◽  
Architecture Model ◽  
Data Framework ◽  
Advanced Metering

The Advanced Metering Infrastructure (AMI) data represent a source of information in real time not only about electricity consumption but also as an indicator of other social, demographic, and economic dynamics within a city. This paper presents a Data Analytics/Big Data framework applied to AMI data as a tool to leverage the potential of this data within the applications in a Smart City. The framework includes three fundamental aspects. First, the architectural view places AMI within the Smart Grids Architecture Model-SGAM. Second, the methodological view describes the transformation of raw data into knowledge represented by the DIKW hierarchy and the NIST Big Data interoperability model. Finally, a binding element between the two views is represented by human expertise and skills to obtain a deeper understanding of the results and transform knowledge into wisdom. Our new view faces the challenges arriving in energy markets by adding a binding element that gives support for optimal and efficient decision-making. To show how our framework works, we developed a case study. The case implements each component of the framework for a load forecasting application in a Colombian Retail Electricity Provider (REP). The MAPE for some of the REP’s markets was less than 5%. In addition, the case shows the effect of the binding element as it raises new development alternatives and becomes a feedback mechanism for more assertive decision making.

scholarly journals Evolutionary Game for Confidentiality in IoT-enabled Smart Grids

2020 ◽  
Author(s):  
Svetlana Boudko ◽  
Peder Aursand ◽  
Habtamu Abie
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Smart Grids ◽  
A Priori ◽  
Evolutionary Game ◽  
Real Life ◽  
Advanced Metering Infrastructure ◽  
A Priori Analysis ◽  
Advanced Metering ◽  
Security Game

We applied evolutionary game theory to extend a resource constrained security game model for confidentiality attacks in an Advanced Metering Infrastructure (AMI), which is a component of IoT-enabled Smart Grids. The AMI is modelled as a tree structure where each node aggregates the information of its children before encrypting it and passing it on to its parent. As a part of the model, we developed a discretization scheme for solving the replicator equations. The aim of this work is to explore the space of possible behaviours of attackers and to develop a framework where the AMI nodes adaptively select the most profitable strategies. Using this model, we simulated the evolution of a population of attackers and defenders on various cases resembling the real life implementation of AMI. We discuss in depth how to enhance security in AMI using evolutionary game theory either by a priori analysis or as a tool to run dynamic and adaptive infrastructure defence.

SKM: Scalable Key Management for Advanced Metering Infrastructure in Smart Grids

2014 ◽  
Vol 61 (12) ◽  
pp. 7055-7066 ◽  
Author(s):  
Zhiguo Wan ◽  
Guilin Wang ◽  
Yanjiang Yang ◽  
Shenxing Shi
Keyword(s):  
Key Management ◽  
Smart Grids ◽  
Advanced Metering Infrastructure ◽  
Advanced Metering

Efficient and Secure Wireless Communications for Advanced Metering Infrastructure in Smart Grids

2012 ◽  
Vol 3 (3) ◽  
pp. 1540-1551 ◽  
Author(s):  
Husheng Li ◽  
Shuping Gong ◽  
Lifeng Lai ◽  
Zhu Han ◽  
Robert C. Qiu ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Smart Grids ◽  
Advanced Metering Infrastructure ◽  
Advanced Metering
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