scholarly journals Advanced Metering Infrastructure Based on Smart Meters in Smart Grid

Author(s):  
Trong Nghia Le ◽  
Wen-Long Chin ◽  
Dang Khoa Truong ◽  
Tran Hiep Nguyen
2021 ◽  
Vol 10 (1) ◽  
pp. 412-418
Author(s):  
Hasventhran Baskaran ◽  
Abbas M. Al-Ghaili ◽  
Zul- Azri Ibrahim ◽  
Fiza Abdul Rahim ◽  
Saravanan Muthaiyah ◽  
...  

Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter’s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user’s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user.


Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 909 ◽  
Author(s):  
Taimin Zhang ◽  
Xiaoyu Ji ◽  
Zhou Zhuang ◽  
Wenyuan Xu

As the core component of the smart grid, advanced metering infrastructure (AMI) is responsible for automated billing, demand response, load forecasting, management, etc. The jamming attack poses a serious threat to the AMI communication networks, especially the neighborhood area network where wireless technologies are widely adopted to connect a tremendous amount of smart meters. An attacker can easily build a jammer using a software-defined radio and jam the wireless communications between smart meters and local controllers, causing failures of on-line monitoring and state estimation. Accurate jammer localization is the first step for defending AMIs against jamming attacks. In this paper, we propose JamCatcher, a mobile jammer localization scheme for defending the AMI. Unlike existing jammer localization schemes, which only consider stationary jammers and usually require a high density of anchor nodes, the proposed scheme utilizes a tracker and can localize a mobile jammer with sparse anchor nodes. The time delay of data transmission is also considered, and the jammer localization process is divided into two stages, i.e., far-field chasing stage and near-field capturing stage. Different localization algorithms are developed for each stage. The proposed method has been tested with data from both simulation and real-world experiment. The results demonstrate that JamCatcher outperforms existing jammer localization algorithms with a limited number of anchor nodes in the AMI scenario.


2020 ◽  
Author(s):  
Chih-Wei Hsu ◽  
Sun-Yuan Hsieh

Internet of Things technology has advanced rapidly. For example, numerous sensors can be deployed in a city to collect a variety of data, and such data can be used to monitor the city’s situation. A possible application of such data is smart metering implemented by power suppliers for their consumers; smart metering involves installing a multiplicity of smart meters that, in conjunction with data centers, form a smart grid. Because a smart gird must collect and send data automatically, the establishment of advanced metering infrastructure (AMI) constitutes the primary step to establishing a smart grid. However, problems remain in smart metering: data traffic from smart meters flows rapidly at a huge volume, resulting in bandwidth bottlenecks. Thus, this chapter proposes some data compression technologies as well as a novel scheme for reducing the communication data load in AMI architectures.


2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769417 ◽  
Author(s):  
Lili Yan ◽  
Yan Chang ◽  
Shibin Zhang

Smart grid is a modernized electrical grid. It is used to collect information about behaviors of suppliers and consumers and improve the efficiency, reliability, and economics of electricity. Recently, advanced metering infrastructure is proposed as a critical part of the smart grid. The security of advanced metering infrastructure is special importance for smart grid. In order to achieve data confidentiality, privacy, and authentication in advanced metering infrastructure, a lightweight authentication and key agreement scheme is proposed in this article. The scheme provides mutual authentication, key agreement, key refreshment, and multicast mechanism which can prevent various attacks. Furthermore, we analyze the security and performance of the scheme. The analysis shows that the proposed scheme is suitable for smart grid.


2018 ◽  
Vol 22 (S2) ◽  
pp. 3453-3462 ◽  
Author(s):  
Jing Gao ◽  
Jia-jia Zhang ◽  
Xu-liang Guang

Author(s):  
Ana E. Goulart ◽  
Abhijeet Sahu

Wireless access technologies are being embedded in utility meters, health devices, public safety systems, among others. These devices have low processing power and communicate at low data rates. New communication standards are being developed to support these machine-type communications (MTC), such as Cellular Internet of Things (CIoT), which is being developed by the third generation partnership project (3GPP). CIoT introduces cooperative ultra-narrow band (C-UNB) communications. It supports ad-hoc uplink transmissions, delay-tolerant downlink transmissions, and a simple authentication scheme. The C-UNB approach is proposed for Mobile Autonomous Reporting (MAR) applications, but it is not clear if it can be used for smart grid systems, such as sensors and smart meters in the Advanced Metering Infrastructure (AMI). In this paper, the authors review the C-UNB approach, study its performance in terms of collision rate and throughput, and discuss its potential for smart grid reporting applications.


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