The role of communication systems in smart grids: Architectures, technical solutions and research challenges

Ancillotti, Emilio; Bruno, Raffaele; Conti, Marco

doi:10.1016/j.comcom.2013.09.004

Cited by 301 publications

(191 citation statements)

References 270 publications

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“…Multi-agent systems and intelligent agents are among the promising fields that can support a smart grid that is decentralised, autonomous, heterogeneous and complex in a wide range of applications [2,3,6,7]. Such applications include for example, DR simulation models proposed by Sarvapali et al [8], Fazal et al [9] and Gomes et al [10].…”

Section: Literature Reviewmentioning

confidence: 99%

“…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%

“…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%

See 2 more Smart Citations

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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Section: Literature Reviewmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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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“…As a result, there is a plethora of communications architectures and technologies available within the scope of M2M communications for smart grids [25,26], ranging from monolithic architectures based on a single communications technology (e.g., cellular) to hierarchical and heterogeneous architectures that involve different communications technologies depending on the specific requirements of each communications segment (the latter in general presenting higher flexibility and scalability than the former).…”

Section: Overview Of the Deployed Communications Infrastructurementioning

confidence: 99%

Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

et al. 2017

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This paper presents the implementation of an adaptive load forecasting methodology in two different power networks from a smart grid demonstration project deployed in the region of Madrid, Spain. The paper contains an exhaustive comparative study of different short-term load forecast methodologies, addressing the methods and variables that are more relevant to be applied for the smart grid deployment. The evaluation followed in this paper suggests that the performance of the different methods depends on the conditions of the site in which the smart grid is implemented. It is shown that some non-linear methods, such as support vector machine with a radial basis function kernel and extremely randomized forest offer good performance using only 24 lagged load hourly values, which could be useful when the amount of data available is limited due to communication problems in the smart grid monitoring system. However, it has to be highlighted that, in general, the behavior of different short-term load forecast methodologies is not stable when they are applied to different power networks and that when there is a considerable variability throughout the whole testing period, some methods offer good performance in some situations, but they fail in others. In this paper, an adaptive load forecasting methodology is proposed to address this issue improving the forecasting performance through iterative optimization: in each specific situation, the best short-term load forecast methodology is chosen, resulting in minimum prediction errors.

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“…Alternative communication infrastructures are currently considered for future large scale deployments [7]. While power grid operators envision the utilization of advanced metering infrastructure, mainly based on power line communications (PLC) and GPRS technologies, for transporting DLC signals, Internet connections available in most households may enable more flexible programs managed by energy suppliers or third parties [8]. Other solutions are considering the use of PLC from energy meters to zone data concentrators, which can access the Internet by means of a public telecommunication network [9].…”

Section: Related Workmentioning

confidence: 99%

Scalable and privacy-preserving admission control for smart grids

Neglia

Bella

Giarré

et al. 2015

2015 54th IEEE Conference on Decision and Control (CDC)

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Abstract:Energy demand and production need to be constantly matched in the power grid. The traditional paradigm to continuously adapt the production to the demand is challenged by the increasing penetration of more variable and less predictable energy sources, like solar photovoltaics and wind power. An alternative approach is the so called direct control of some inherently flexible electric loads to shape the demand. Direct control of deferrable loads presents analogies with flow admission control in telecommunication networks: a request for network resources (bandwidth or energy) can be delayed on the basis of the current network status in order to guarantee some performance metrics. In this report we go beyond such an analogy, showing that usual teletraffic tools can be effectively used to control energy loads. In particular we propose a family of control schemes which can be easily tuned to achieve the desired trade-off among resources' usage, control overhead and privacy leakage.Key-words: smart grids, direct load control, admission control, privacy, large deviation * Inria Sophia-Antipolis Méditerranée Email: giovanni.neglia@inria.fr † Swarm Joint Open Lab, TELECOM ITALIA, Email: giuseppe.dibella@telecomitalia.it. ‡ Università degli Studi di Palermo, Email: {firstname.lastname}@unipa.it Contrôle d'admission passant à l'échelle et préservant la vie privée pour les réseaux intelligents Résumé :Demande et production d'énergie doivent être constamment équilibrées dans le réseau électrique. Le paradigme traditionnel qui consiste à adapter dynamiquement la production à la demande est contesté par la montée en puissance de sources d'énergie plus variables et moins prévisibles, comme l'énergie solaire photovoltaïque et l'énergie éolienne. Une approche alternative est le contrôle direct de certaines charges électriques intrinsèquement flexibles dans le but de modeler la demande. Le contrôle direct des charges reportables présente des analogies avec le contrôle d'admission des flux de données dans les réseaux de télécommunication : une demande pour les ressources du réseau (bande passante ou énergie) peut être différée selon l'état actuel du réseau afin de garantir certaines mesures de performance. Dans ce rapport, nous allons au-delà d'une telle analogie et montrons que les outils de télétrafic habituels peuvent être efficacement utilisés pour contrôler les charges électriques. En particulier, nous proposons une famille de schémas de contrôle qui peuvent être facilement configurés pour atteindre le compromis souhaité entre utilisation de ressources, coûts du contrôle et révélation d'informations privées.

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The role of communication systems in smart grids: Architectures, technical solutions and research challenges

Cited by 301 publications

References 270 publications

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

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

Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

Scalable and privacy-preserving admission control for smart grids

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