A multi-agent system for energy management of distributed power sources

Lagorse, Jeremy; Paire, Damien; Miraoui, Abdellatif

doi:10.1016/j.renene.2009.02.029

Cited by 198 publications

(100 citation statements)

References 24 publications

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“…This lead to the inclusion of Refs. [13,16,20,47,52,55,60,61,81,82,99]. Figure 2 shows the results of the assessment where green, yellow and red correspond to full, partial and non-adherence to the MAS design principles.…”

Section: Adherence Of Existing Mas Implementations To Design Principlesmentioning

confidence: 99%

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Farid

2015

Intell Ind Syst

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Recently, the academic and industrial literature has coalesced around an enhanced vision of the electric power grid that is intelligent, responsive, dynamic, adaptive and flexible. One particularly emphasized "smart-grid" property is that of resilience where healthy regions of the grid continue to operate while disrupted and perturbed regions bring themselves back to normal operation. Multi-agent systems have recently been proposed as a key enabling technology for such a resilient control scheme. While the power system literature has often addressed multi-agent systems, many of these works did not have resilience as the central design intention. This paper now has a two-fold purpose. First, it seeks to identify a set of multi-agent system design principles for resilient coordination and control of future power systems. To that end, it draws upon an axiomatic design for large flexible engineering systems model which was recently used in the development of resilience measures. From this quantitative model, a set of design principles are easily distilled. Second, the paper assesses the adherence of existing multi-agent system implementations with respect to these design principles. The paper concludes that while many multi-agent systems have been developed for power grids, they have been primarily intended as the decentralization of a particular decision-making/control algorithm. Thus many of the works make only limited contributions to power grid resilience.B Amro M. Farid

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Section: Adherence Of Existing Mas Implementations To Design Principlesmentioning

confidence: 99%

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Farid

2015

Intell Ind Syst

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“…It such incidents happened in Algeria on May 3, 2003. The next iteration will be the "Smart Grids" in other words "Intelligent Electrical Networks" which will be equipped with support systems and real communication [2][3][4]. As part of the design of the intelligent network is based on decentralization, energy sector restructuring and optimizing its assets [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Management of Sources and Loads in a Smart Grid

Tadjer¹,

Habi²,

Ganaoui³

et al. 2024

RE&PQJ

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Abstract. Currently the targets set by the EuropeanUnion in terms of decreasing CO2 emissions, a change in the energy sector rule applies and this translates into more efficient use of renewable energy sources and the need to move towards a smarter grid. For this purpose, integrating the networks of the new information and communications technology will make communicating and will take into account the actions of the players in the electrical system, while ensuring a more efficient delivery of electricity, economically viable and safe. In this paper an algorithm was validated by virtual simulation, conducted validation shows that the intelligent energy manager allows the erasure of peak demand therefore save on overall energy costs while achieving technical and regulatory constraints. An algorithm of control/command, various scenarios for managing devices connected to networks has been validated by simulation.

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“…For example, in [16], the authors proposed an efficient distributed power sources using a MAS. The proposed distributed management using MAS was ensured better system reliability.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Power Management Investigation for Stand-alone Hybrid System Using Short-time Energy Storage

Sami¹

2017

IJPEDS

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Stand-alone Hybrid systems become appreciating issues that ensure the required electricity to consumers. The development of a stand-alone Hybrid system becomes a necessity for multiple applications The enhance energy security. To achieve this objective, we have proposed an accurate dynamic model using Multi-Agent System (MAS) in which a solar energy System (SES) serves as the main load supply, an energy Backup System (ERS) is based on a fuel cell and Electrolyzer for long-term energy storage and an Ultra Capacitor (UCap) storage system deployed as a short-time storage. To cooperate with all systems, an Intelligent Power Management (IPM) based on a specific MAS is included. Thus, to prove the performance of the system, we tested and simulated it using the Matlab/Simulink environment.

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A multi-agent system for energy management of distributed power sources

Cited by 198 publications

References 24 publications

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Management of Sources and Loads in a Smart Grid

An Intelligent Power Management Investigation for Stand-alone Hybrid System Using Short-time Energy Storage

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