Service Orientation and the Smart Grid state and trends

Pagani, Giuliano Andrea; Aiello, Marco

doi:10.1007/s11761-012-0117-z

Cited by 21 publications

(16 citation statements)

References 39 publications

(41 reference statements)

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“…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

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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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“…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

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“…In [35], we defined the characteristics that the new smart grid environments demand in terms of service orientation to fully implement the features that the smart grid will enable. These are interoperability, scalability, discovery, mobility, resilience to failure and trust, service integration and composition, topology, smart metering and real time.…”

Section: Agents Meet Soa In the Smart Gridmentioning

confidence: 99%

“…Finally, it will be large scale or even extreme scale, since energy companies can serve a wide geographical area with a large number of users and the power grid is becoming a wide international infrastructure. All these expected high-level requirements hint at service orientation as the enabling ICT pattern for the infrastructure and indeed the current standardization effort is going in the direction of service orientation, as we have overviewed in [35]. Service-oriented systems couple nicely with agent modeling.…”

Section: Introductionmentioning

confidence: 99%

An adaptive agent-based system for deregulated smart grids

Capodieci

Pagani

Cabri

et al. 2015

SOCA

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The power grid is undergoing a major change due mainly to the increased penetration of renewables and novel digital instruments in the hands of the end users that help to monitor and shift their loads. Such transformation is only possible with the coupling of an information and communication technology infrastructure to the existing power distribution grid. Given the scale and the interoperability requirements of such future system, service-oriented architectures (SOAs) are seen as one of the reference models and are considered already in many of the proposed standards for the smart grid (e.g., IEC-62325 and OASIS eMIX). Beyond the technical issues of what the service-oriented architectures of the smart grid will look like, there is a pressing question about what the added value for the end user could be. Clearly, the operators need to guarantee availability and security of supply, but why should the end users care? In this paper, we explore a scenario in which the end users can both consume and produce small quantities of energy and can trade these quantities in an open and deregulated market. For the trading, they delegate software agents that can fully interoperate and interact with one another thus taking advantage of the SOA. In particular, the agents have strategies, inspired from game theory, to take advantage of a service-oriented smart grid market and give profit to their delegators, while implicitly helping balancing the power grid. The proposal is implemented with simulated agents and interaction with existing Web services. To show the advantage of the agent with strategies, we compare our approach with the “base” agent one by means of simulations, highlighting the advantages of the proposal

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“…It defines XML-based vocabularies for the interoperable exchange of information related to energy prices and bids (demand and response), emergency signals and the prediction of loads consumption. This information relies on the "WSCalendar" [17] and "EMIX specification" [18] . The first defines how to specify and communicate the duration and time of a schedule, while the later specifies the semantics (i.e., definitions of price and products) in energy markets.…”

Section: Oasis Energy Interoperabilitymentioning

confidence: 99%