Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain

Rusitschka, Sebnem; Eger, Kolja; Gerdes, Christoph

doi:10.1109/smartgrid.2010.5622089

Cited by 189 publications

(104 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Further, the SG requires a powerful platform with effective integration and ubiquitous seamless access to collect and analyze large data collected from a variety of sources, such as AMI, wide area measurement system (WAMS), and HA. Recent studies [29]- [32] show that cloud computing is very much compatible with the SG system because of its several advantages, including energy efficiency, flexibility, scalability, agility, and cost effectiveness. Various researchers have proposed their solutions by integrating cloud computing in the SG system.…”

Section: System Modelmentioning

confidence: 99%

Integrated Distributed Authentication Protocol for Smart Grid Communications

Saxena

Choi

2018

IEEE Systems Journal

View full text Add to dashboard Cite

Abstract-In the smart grid, an integrated distributed authentication protocol is needed to not only securely manage the system but also efficiently authenticate many different entities for the communications. In addition, a lightweight authentication protocol is required to handle frequent authentications among billions of devices. Unfortunately, in the literature, there is no such integrated protocol that provides mutual authentication among the home environment, energy provider, gateways, and advanced metering infrastructure network. Therefore, in this paper, we propose a lightweight cloud-trusted authorities-based integrated (centrally controlled) distributed authentication protocol that provides mutual authentications among communicated entities in a distributed manner. Based on certificateless cryptosystem, our protocol is lightweight and efficient even when there are invalid requests in a batch. Security and performance analysis show that the protocol provides privacy preservation, forward secrecy, semantic security, perfect key ambiguous, and protection against identity thefts while generating lower overheads in comparison with the existing protocols. Also, the protocol is secure against man-in-the-middle attacks, redirection attacks, impersonation attacks, and denial-of-service attacks. Moreover, our protocol provides a complete resistance against flood-based denial-of-service attacks.

show abstract

Section: System Modelmentioning

confidence: 99%

Integrated Distributed Authentication Protocol for Smart Grid Communications

Saxena

Choi

2018

IEEE Systems Journal

View full text Add to dashboard Cite

show abstract

“…serviceoriented architectures (SOA) and cloud computing [15][16][17]. However, MAS has shown to be more suitable to the smart grid scenarios involving autonomous behaviours [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Automated Home Energy Management in Multi-Agent Smart Grid Architecture

Elshaafi

Vinyals

Grimaldi

et al. 2018

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

This paper describes an approach to decentralised and automated demand response and home energy management that takes into consideration privacy and security of home users implemented using a multi-agent system. The novel approach allows the management of flexibility within the low-voltage part of the electricity distribution networks where decentralised decision making will result in better value for prosumers, efficiency and market competitiveness. The hierarchical agent architecture allows agents that represent different stakeholders to make decisions as a result of changes in energy consumption and generation using mechanisms such as optimisation and access control. The multi-agent system connects to home devices through a uniform software layer that abstracts the heterogeneity of home devices.

show abstract

“…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.…”

Section: Related Workmentioning

confidence: 99%

“…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. Public cloud infrastructures provide the necessary distributed data management and a high level of reliability to handle smart grid data.…”

Section: Related Workmentioning

confidence: 99%

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

Chihoub

Collet

2016

2016 45th International Conference on Parallel Processing (ICPP)

View full text Add to dashboard Cite

Abstract-Nowadays, more and more data are being generated and collected in electrical smart grids. Most of these data are coming from smart meters and sensors deployed massively throughout the power grid. As the generation of data is becoming ever more frequent and with the constantly increasing volumes, it is becoming harder and harder to manage and process these data at the scale of a smart grid within legacy systems. In this work, we focus on investigating the scalability and performance of different data management approaches for meter data processing. To this end, we conduct a thorough experimental study of various systems including a parallel relational database system, MapReduce based systems including Hadoop and Spark, and a NoSQL datastore system. Our experiment sets were conducted on up to 140 nodes on Grid5000 and up to 1.4 TB of meter data. Our results demonstrate that parallel relational systems are more suited for most processing types on smart meter data in the smart grid. In contrast, we show that with the appropriate distribution model, data partitioning and modeling choices we achieve very fast and scalable bill computations, the main complex processing for utilities providers.

show abstract

Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain

Cited by 189 publications

References 4 publications

Integrated Distributed Authentication Protocol for Smart Grid Communications

Integrated Distributed Authentication Protocol for Smart Grid Communications

Secure Automated Home Energy Management in Multi-Agent Smart Grid Architecture

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

Contact Info

Product

Resources

About