Decentralized control of the hybrid electrical system consumption: A multi-agent approach

Mbodji, Abdoul K.; Ndiaye, Mamadou Lamine; Ndiaye, P.

doi:10.1016/j.rser.2015.12.135

Cited by 20 publications

(12 citation statements)

References 13 publications

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“…Multi-agent systems (MAS) have been the interest of more and more authors, since it provides adequate solutions for many complicated issues in several domains. It has been explored in a large number of software related domains as robotics, sustainable energy distribution [17], [18], but also in more general fields such as psychology [19] or biology [20]. The agent paradigm shifts different operative implementations.…”

Section: B Multi Agent System (Mas)mentioning

confidence: 99%

New 3D Objects Retrieval Approach using Multi Agent Systems and Artificial Neural Network

Sirbal¹,

Bouksim²,

Arhid³

et al. 2018

ijacsa

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Content-based 3D object retrieval is a substantial research area that has drawn a significant number of scientists in last couple of decades. Due to the rapid advancement of technology, 3D models are more and more accessible yet it is hard to find, the models we are searching for. This created the need for efficient and robust retrieval methods, allowing the extraction of relevant matches from the human perspective. Hence, in this paper we are proposing a new framework for 3D object retrieval that starts with a pre-treatment consisting of an Artificial Neural Network (ANN) algorithm with Histogram of features, allowing us to extract a representative value for each category of the database. These values are used for the Multi Agents System (MAS). In this phase, we are classifying these categories according to their relevance to the request object. This sets a distinguishing weight for each object of the database allowing us to extract the right matches. Experiments have proven the stringent of this approach. Keywords-3D object retrieval; 3D image processing; distributed artificial intelligence; multi-agent systems; artificial neural network (ANN)I.

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Section: B Multi Agent System (Mas)mentioning

confidence: 99%

New 3D Objects Retrieval Approach using Multi Agent Systems and Artificial Neural Network

Sirbal¹,

Bouksim²,

Arhid³

et al. 2018

ijacsa

View full text Add to dashboard Cite

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“…The uniqueness of the agent structure comprises fading the network losses while restoring the provision to the loads according to their priority deprived of disturbing the system impairments [12]. Construction built on original resident data, to complete the arrangement procedures steadily and effectively, and DG fundamentals inside the MG are delimited and constructed on energy management scheme using MASs [13,14]. Consistently, virtual bidding is created for arrangement of scheduling progression and competency reserve, recognized on alteration impairment, drop, or upsurge on the energy request received from single or multiple manageable feeding rudiments operating in the scheme.…”

Section: Introductionmentioning

confidence: 99%

Architecture of a Microgrid and Optimal Energy Management System

Khan¹,

Wang²,

Xiong³

et al. 2020

Multi Agent Systems - Strategies and Applications

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With the growing population trends, the demand for electricity is accelerating rapidly. The policy planners and developers have great focus to utilize renewable energy resources (RERs) to encounter the scarcity of energy since they offer benefits to the environment and power systems. At present, the energy generation is evolving into a smart distribution system that assimilates several energy resources assuring to generate clean energy, to have reliable operational procedures, and to enhance the energy supervision and management arrangements. Therefore, the model of a distributed microgrid (DMG) with optimal energy management strategies based on multi-agent systems (MASs) technique has been focused in this chapter. Distributed energy resources (DER) have been considered for the generation of electrical power to fulfill the consumer's load demands. Thus, a fully controlled architecture of a grid along with concept of MAS and its development platforms, implementation, and operational procedures have been discussed in detail. In addition, agent's operations and their coordination within the MG arrangements have been focused by considering the supervision of the entire system autonomously. Moreover, optimal procedures of a microgrid (MG) energy supervision and power distribution system have also been presented considering the cost control and optimal operations of the entire MG at the distributed level.

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“…When attempting to provide a review of agent-based systems (ABSs) dealing with the exchange of energy, studies distinguishes from the role of agents in the distribution process. In the multi-agent model of Mbodji et al [10] two agents aim at defining a management strategy to adapt the energy consumed to that supplied by renewable production sources of the system. In the paper of Sharma et al [11] centralized agent guides all agents towards the balance of the demand for a peak shaving in a distribution system.…”

Section: Introductionmentioning

confidence: 99%

“…The study of Misra et al [17] analyses the energy trading problem with real-time demand estimation. A real-time control of the consumption and production of agents is also presented in the previous cited works [10,11].…”

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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Decentralized control of the hybrid electrical system consumption: A multi-agent approach

Cited by 20 publications

References 13 publications

New 3D Objects Retrieval Approach using Multi Agent Systems and Artificial Neural Network

New 3D Objects Retrieval Approach using Multi Agent Systems and Artificial Neural Network

Architecture of a Microgrid and Optimal Energy Management System

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

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