Infrastructure based on supernodes and software agents for the implementation of energy markets in demand-response programs

Lopez-Rodriguez, I.; Hernández-Tejera, Mario

doi:10.1016/j.apenergy.2015.08.039

Cited by 11 publications

(15 citation statements)

References 19 publications

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“…Furthermore, Ref. [32] implemented energy markets in DR program-based open automated demand response (OpenADR) programs. Conversely, agents communicate directly in the P2P model, for instance using a distributed P2P multi-agent framework to manage power sharing in MG [56].…”

Section: Multi-agent System For Inter-prosumer Communicationmentioning

confidence: 99%

“…The OpenADR (open automated demand response) is a potential model to fill this gap. The OpenADR provides a standardized interface that allows electricity providers and DSOs to communicate demand response events to their customers over IP-based communication networks [32,108]. Moreover, additional optimization techniques such as advanced linear programming, nonlinear convex optimization, Lagrange duality, the KKT (Karush-Kuhn-Tucker) optimality condition, the gradient algorithm, the interior point algorithm, geometric programming, semidefinite programming, robust optimization and dynamic programming need to be investigated.…”

Section: Challenges Facing Energy Trading and Sharing And Future Dirementioning

confidence: 99%

“…This includes deciding the appropriate structure to use for the trade, as well as the supporting control mechanisms to adopt. In this regards, one of the key questions is whether the trading structure should be distributed/P2P [24][25][26][27][28] or centralized through a platform/energy market [29][30][31][32] operation. Likewise, the form of control to be adopted to route information among the actors, whether distributed or central control, needs to be harmonized.…”

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confidence: 99%

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State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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Abstract:Transaction-based energy (TE) management and control has become an increasingly relevant topic, attracting considerable attention from industry and the research community alike. As a result, new techniques are emerging for its development and actualization. This paper presents a comprehensive review of TE involving peer-to-peer (P2P) energy trading and also covering the concept, enabling technologies, frameworks, active research efforts and the prospects of TE. The formulation of a common approach for TE management modelling is challenging given the diversity of circumstances of prosumers in terms of capacity, profiles and objectives. This has resulted in divergent opinions in the literature. The idea of this paper is therefore to explore these viewpoints and provide some perspectives on this burgeoning topic on P2P TE systems. This study identified that most of the techniques in the literature exclusively formulate energy trade problems as a game, an optimization problem or a variational inequality problem. It was also observed that none of the existing works has considered a unified messaging framework. This is a potential area for further investigation.

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Section: Multi-agent System For Inter-prosumer Communicationmentioning

confidence: 99%

Section: Challenges Facing Energy Trading and Sharing And Future Dirementioning

confidence: 99%

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confidence: 99%

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State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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“…In most cases, electrical energy was sold by generators to consumers (102 of 130 papers). In other cases, the market paid for flexibility, either alongside a market for the sale of energy (11 of 130 papers) [56,62,63,90,[101][102][103][104][105][106][107], or in a flexibility only market (10 of 130 papers) [47,49,69,76,77,79,[108][109][110][111]. Finally, some markets traded ancillary services such as reactive power, either alongside energy (five of 130 papers) [50,51,[112][113][114], or as a standalone ancillary services market (two of 130 papers) [61,115].…”

Section: Market Commoditymentioning

confidence: 99%

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

et al. 2021

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“…Moving forward, more detailed works also include financial issues in their studies. For instance, in Lopez-Rodriguez et al [13], customers may contact act with brokering agents in order to participate in the market of the energy exchanges. In the agent-based model of Ye et al [14], the energy distribution problem is formulated to admit autonomously negotiation among agents with the main objective to achieve efficient energy dispatch.…”

Section: Introductionmentioning

confidence: 99%

A multi-layer agent-based model for the analysis of energy distribution networks in urban areas

Fichera

Pluchino

Volpe

2018

Physica A: Statistical Mechanics and its Applications

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Significant research contributions and Directives approach the issue of the insertion of renewable-based energy systems on urban territory in order to face with the growing energy needs of citizens. The introduction of such systems gives raise to installers to both satisfy their energy demands and distribute eventual energy excesses to close neighbours. This paper presents a multi-layer agent-based computational model that simulates multiple event of the network of the energy distribution occurring within urban areas. The model runs on the NetLogo platform and aims at elaborating the most suitable strategy when dealing with the design of a network of energy distribution. Experimental data are discussed on the basis of two main scenarios within an operating period of 24 hours. Scenarios consider both the variation of the percentages of installers of renewable-based energy systems and the distance along which energy exchanges occur.

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Infrastructure based on supernodes and software agents for the implementation of energy markets in demand-response programs

Cited by 11 publications

References 19 publications

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

A Systematic Literature Review of Peer-to-Peer, Community Self-Consumption, and Transactive Energy Market Models

A multi-layer agent-based model for the analysis of energy distribution networks in urban areas

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