Communication network architecture and design principles for smart grids

Budka, Kenneth C.; Deshpande, Jayant G.; Doumi, T.L.; Madden, Mark; Mew, Tim

doi:10.1002/bltj.20450

Cited by 89 publications

(49 citation statements)

References 6 publications

(7 reference statements)

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“…Moreover, the fractional area A nj of node j transmission coverage under the coverage of n th PU transmitter is given by (5), where r j denotes the coverage radii of the n th PU transmitter, R n denotes the coverage radii of the n th PU transmitter, and d nj is the distance between the two nodes. Additionally, the rank of each node can be computed as the process shown in Fig.…”

Section: B Protocol Descriptionmentioning

confidence: 99%

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Green-RPL: An Energy-Efficient Protocol for Cognitive Radio Enabled AMI Network in Smart Grid

et al. 2018

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Xianbin (2018) Green-RPL : an energyefficient protocol for cognitive radio enabled AMI network in smart grid. IEEE Access . Permanent WRAP URL:http://wrap.warwick.ac.uk/99470 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. Abstract-With the capacity of achieving spectrum efficient wireless communications, cognitive radio enabled Advanced Metering Infrastructure (CR-AMI) networks are expected to enhance the efficiency and practicability of future smart grids. CR-AMI networks which has been recognized as a fundamental component of the smart grid ecosystem, are practically utilized as a static multi-hop wireless mesh network. This paper focuses on the development of a novel RPL (routing protocol for low power and lossy networks) based routing protocol for enhancing the energy efficiency in CR-AMI networks. For meeting the requirements of green communications in smart grids, the proposed routing protocol adopts the energy efficiency over virtual distance as the core of routing mechanism such that the energy-efficient route can be achieved. In addition, the protocol provides protection for primary users whilst meeting the utility requirements of secondary users. System-level evaluation indicates that the proposed protocol performs better than existing routing protocols for CR-AMI networks.

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Section: B Protocol Descriptionmentioning

confidence: 99%

“…providers, distributors and consumers to obtain realtime information of operating requirements and capabilities. To guarantee successful operation of smart grid, it is critical to design an efficient and reliable communication network [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Green-RPL: An Energy-Efficient Protocol for Cognitive Radio Enabled AMI Network in Smart Grid

et al. 2018

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“…A smart grid allows more 'perceptive' load control, directly or indirectly by controlling the appliances switching off the less important ones so as to reduce the usage to prevent peak time deficit and hence preventing the outages and load shedding. This can be done by either communicating to the consumer about the economic pricing incentives in a dynamic manner or by having a real time protocol to allow utilities have a direct control on the devices and setting less important tasks for a time when electricity is cheap and hence acting as a buffer for fluctuations in the peak energy supply (Budka et al, 2010). By incentivising the operation of appliances the consumer can control the amount of load they are using in a better way.…”

Section: Peak Load Managementmentioning

confidence: 99%

An auxiliary study of the smart grid deployment in India. Philosophy and key drivers

Beg

2016

IJSGGC

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Abstract:With an ever increasing population coupled with a perpetual depletion of fossil fuel resources and many generation sites attaining their ultimate capacity, India is in dire need of an up gradation of its electrical infrastructure. A much smarter approach towards the electrical grid is needed. This smarter approach technically referred to as the 'smart grid', promises an affordable electrical environment. This paper presents the journey of the Indian power sector through time, analyses various demand and supply scenarios which are mutually exclusive and also assesses various issues facing the Indian power system. This paper also highlights the need for ICT infrastructure concepts as well as various technologies involved to deploy a smart grid infrastructure and thereby leading to a conception of safety by means of design and modification resulting in an enhanced electricity management environment and hence leading to energy independence and an electrical grid that is much more reliable, secure, efficient, and greener.

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“…The next generation of electric grids, termed as smart grids, are expected to supply improved service with higher reliability, efficiency, agility and security [4]- [6], due to their capabilities of advanced bi-directional communications, automated control and distributed computing. Electricity providers, distributors, and consumers would benefit realtime awareness of operating environments, requirements and capabilities since smart grids are capable of gathering information from equipment in realtime from different areas and then making intelligent decisions to promote energy efficiency and security of electric grids [7], [8].…”

Section: Introductionmentioning

confidence: 99%

CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Yang

Ping

Sun

et al. 2017

IEEE Trans. Veh. Technol.

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(2016) 'CRB-RPL : a receiver-based routing protocol for communications in cognitive radio enabled smart grid.', IEEE transactions on vehicular technology., 66 (7). pp. 5985-5994. Further information on publisher's website: Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Zhutian Yang, Member, IEEE, Shuyu Ping, Hongjian Sun, Senior Member, IEEE, and A. Hamid Aghvami, Fellow, IEEE Abstract-As a tool of overcoming radio spectrum shortages in wireless communications, cognitive radio technology plays a vital role in future smart grid applications, particularly in Advanced Metering Infrastructure (AMI) networks with Quality of Service (QoS) requirements. This paper focuses on the investigation of the receiver-based routing protocol for enhancing QoS in cognitive radio-enabled AMI networks, due to their potentials of enhancing reliability and routing efficiency. In accordance with practical requirements of smart grid applications, a new routing protocol with two purposes is proposed: one is to address the realtime requirement while another protocol focuses on how to meet energy efficiency requirements. As a special feature of cognitive radio technology, the protocol have the mechanism of protecting primary (licensed) users whilst meeting the utility requirements of secondary (cognitive radio) users. System-level evaluation shows that the proposed routing protocol can achieve better performances compared with existing routing protocols for cognitive radio-enabled AMI networks.

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Communication network architecture and design principles for smart grids

Cited by 89 publications

References 6 publications

Green-RPL: An Energy-Efficient Protocol for Cognitive Radio Enabled AMI Network in Smart Grid

Green-RPL: An Energy-Efficient Protocol for Cognitive Radio Enabled AMI Network in Smart Grid

An auxiliary study of the smart grid deployment in India. Philosophy and key drivers

CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

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