Communication network requirements for major smart grid applications in HAN, NAN and WAN

Kuzlu, Murat; Pipattanasomporn, Manisa; Rahman, Saifur

doi:10.1016/j.comnet.2014.03.029

Cited by 508 publications

(339 citation statements)

References 20 publications

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“…The candidate wireless technologies [2] include license-free bands solutions (e.g., IEEE 802.15.4 and WiFi), new internet-of-things (IoT) specific technologies such as LoRaWAN and IEEE 802.15.4-2015 LECIM, and cellular communication systems and their evolved versions for machine-to-machine (M2M) communications [3]; all potential for SG applications. SGs involve a wide range of applications with various communications requirements; some with demanding quality of service requirements of very low latency and high reliability [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Haapola¹,

Ali²,

Kalalas³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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Abstract-Selection of the most appropriate communications technology for a smart grid (SG) application is far from trivial. We propose such a feasibility assessment starting from identification of key performance indicators (KPIs) required for peer-to-peer (P2P) energy trading and grid control operations from a communications perspective. A set of cross-disciplinary KPIs, both quantitative and qualitative, are considered from communications, power, business, actor involvement, financial, and demand side management categories. They serve as a general baseline for use cases, as there have been few previous works attempting to capture the essential features of P2P SG operations. The KPIs are briefly identified along with their relations to P2P energy trading and grid control. A straightforward comparison of the quantitative and qualitative KPIs' impact on technology selection is not feasible. This paper addresses the comparison with: 1) a prioritization of the KPIs using the analytic hierarchy process; 2) a comparison of technology solutions evaluated in our previous works against the KPIs' requirements; and 3) a total feasibility evaluation of the solutions against selected KPIs. The prioritization shows latency, reliability, security, scalability, robustness, costs of information and communication technologies (ICT) devices, and costs of ICT deployment are the most important KPIs in enabling P2P energy trading and grid control. Further, the technology feasibility assessment enables identification of the most suitable candidates for an SG application.

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Section: Introductionmentioning

confidence: 99%

“…Typically, 98% delivery ratio is required, and it can be up to 99.99% [4]. In demand response (DR), reliability of > 99.5% [6] is expected.…”

mentioning

confidence: 99%

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Haapola¹,

Ali²,

Kalalas³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

show abstract

“…Researchers have investigated the benefits and challenges of DR and energy management systems including communication aspects [6,18,19]. The Universal Smart Energy Framework (USEF) [20] is a model for developing smart grid products and services.…”

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

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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.

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“…Although many communication properties, as detailed in [53,60,61], can be linked, but two properties are considered here, i.e., delay and information loss rate (also termed as packet loss rate). Because, delay in transmission can cause the operator to make decision based on old data, or a ReGen to change behavior based on old control messages.…”

Section: Cellular Network Performance In Denmarkmentioning

confidence: 99%

ICT Based Performance Evaluation of Primary Frequency Control Support from Renewable Power Plants in Smart Grids

Kamal

Altin²,

Mikkelsen

et al. 2018

Energies

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Abstract:The increased penetration of Renewable Energy Generation (ReGen) plants in future power systems poses several challenges to the stability of the entire system. In future green energy rich power systems, the responsibility for providing ancillary services will be shifted from conventional power plants towards ReGen plants, such as wind and photovoltaic power plants. Frequency control support from the Wind Power Plants (WPPs) is one of the crucial ancillary services in order to preserve operational stability in case of grid disturbances. Among other requirements, the ability to provide fast frequency control support from ReGen plants will highly depend on the underlying communication infrastructure that allows an exchange of information between different ReGen plants and the control centers. This paper, therefore, focuses on the evaluation of the impact of communication and the related aspects to provide online frequency control support from ReGen (with special focus on WPP). The performance evaluation is based on an aggregated WPP model that is integrated into a generic power system model. This generic power system model is specifically designed to assess the ancillary services in a relatively simple yet relevant environment. Several case studies with different wind speeds at a particular wind-power penetration level and communication scenarios are considered to evaluate the performance of power system frequency response. The article provides the Transmission System Operator (TSO) and other communication engineers insights into the importance and various aspects of communication infrastructure for general service coordination between WPPs and specifically primary frequency control coordination from WPPs in future power systems.

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Communication network requirements for major smart grid applications in HAN, NAN and WAN

Cited by 508 publications

References 20 publications

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

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

ICT Based Performance Evaluation of Primary Frequency Control Support from Renewable Power Plants in Smart Grids

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