Feasibility, challenges, and performance of wireless multi-hop routing for feeder level communication in a smart grid

2011 ◽  
Author(s):  
Babak Karimi ◽  
Vinod Namboodiri ◽  
Visvakumar Aravinthan ◽  
Ward Jewell
Keyword(s):  
Smart Grid ◽  
And Performance

scholarly journals A lightweight authentication and key agreement scheme for smart grid

2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769417 ◽  
Author(s):  
Lili Yan ◽  
Yan Chang ◽  
Shibin Zhang
Keyword(s):  
Smart Grid ◽  
Key Agreement ◽  
Mutual Authentication ◽  
Special Importance ◽  
Advanced Metering Infrastructure ◽  
Electrical Grid ◽  
Authentication And Key Agreement ◽  
And Performance ◽  
Advanced Metering ◽  
Lightweight Authentication

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.

scholarly journals Evaluation of big data frameworks for analysis of smart grids

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Hasan Ansari ◽  
Vahid Tabatab Vakili ◽  
Behnam Bahrak
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Cyber Security ◽  
Smart Grids ◽  
Large Scale ◽  
Rapid Development ◽  
Massive Data ◽  
Grid Data ◽  
Data Generator ◽  
And Performance

AbstractWith the rapid development of smart grids and increasing data collected in these networks, analyzing this massive data for applications such as marketing, cyber-security, and performance analysis, has gained popularity. This paper focuses on analysis and performance evaluation of big data frameworks that are proposed for handling smart grid data. Since obtaining large amounts of smart grid data is difficult due to privacy concerns, we propose and implement a large scale smart grid data generator to produce massive data under conditions similar to those in real smart grids. We use four open source big data frameworks namely Hadoop-Hbase, Cassandra, Elasticsearch, and MongoDB, in our implementation. Finally, we evaluate the performance of different frameworks on smart grid big data and present a performance benchmark that includes common data analysis techniques on smart grid data.

Deployment and Performance Verification of 5G Smart Grid Based on LoRa

2021 ◽  
Author(s):  
Tian Lin ◽  
Chen Baohao ◽  
Guo Weiming ◽  
Zhang Guoyi ◽  
Wang Long
Keyword(s):  
Smart Grid ◽  
Performance Verification ◽  
And Performance ◽  
Grid Based

Configurable Node of Sensor Network for Smart Grid

2015 ◽  
Vol 738-739 ◽  
pp. 83-88
Author(s):  
Zheng Wei Hu ◽  
Rong Yuan Xie ◽  
Zhi Yuan Xie
Keyword(s):  
Smart Grid ◽  
Data Acquisition ◽  
Sensor Network ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Plug And Play ◽  
Real Model ◽  
Simulation Results ◽  
And Performance

In order to support characters of data acquisition system of smart grid, such as scalable and plug and play, one configurable node of sensor network was proposed. The number of protocol standard, the number of interface of each protocol standard, the number of senor of each interface and the number of byte of each sensor can be configured in this node. All these parameters can be configured according to the specific application of smart grid and then achieve the best balance between cost and performance. One real model was implemented by VHDL and the number of protocol standard, the number of interface of each protocol standard, the number of sensor of each interface, the number of byte of each sensor can be configured in the range from 1 to 8. The correctness and validity of this real model were confirmed by simulation results of configurable level and one application instance.

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