Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid using MACSimJX

Raju, Leo; Milton, Robert; Mahadevan, Senthilkumaran

doi:10.1080/10798587.2017.1305647

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…This permits that the two operations run without synchronization. The MACSim server handles the correspondent operations of JADE and passes information to and from the MACSim client, which is installed in Simulink by an S function [20,21]. The Simulink logic of the MAS system is shown figure 11.…”

Section: Multi Agent Control For Simulink With Jade Extension (Macsimmentioning

confidence: 99%

Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

Issa

Yusupov

2021

Politeknik Dergisi

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Section: Multi Agent Control For Simulink With Jade Extension (Macsimmentioning

confidence: 99%

Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

Issa

Yusupov

2021

Politeknik Dergisi

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“…They created it as a medium to facilitate the communication between an agent-based system designed in C/C++ or Java and Simulink models. As shown in Figure 7, MACSim has a client-server architecture, where the client part is developed in Simulink using an S-function, and the server is programmed in the JADE platform [45][46][47]. In this paper, the MACSim block was customized to integrate the microgrid hardware models and MAS software parts.…”

Section: Developing An Integrated Platform For Evaluating the Publish...mentioning

confidence: 99%

Agent-Based Coordinated Control of Power Electronic Converters in a Microgrid

2021

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This paper presents the implementation of an agent-based architecture suitable for the coordination of power electronic converters in stand-alone microgrids. To this end, a publish-subscribe agent architecture was utilized as a distributed microgrid control platform. Over a distributed hash table (DHT) searching overlay, the publish-subscribe architecture was identified based on a numerical analysis as a scalable agent-based technology for the distributed real-time coordination of power converters in microgrids. The developed framework was set up to deploy power-sharing distributed optimization algorithms while keeping a deterministic time period of a few tens of milliseconds for a system with tens of converters and when multiple events might happen concurrently. Several agents participate in supervisory control to regulate optimum power-sharing for the converters. To test the design, a notional shipboard system, including several converters, was used as a case study. Results of implementing the agent-based publish-subscribe control system using the Java Agent Development Framework (JADE) are presented.

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“…In [13], an autonomous control algorithm based on an MAS algorithm for fault analysis, fault control, and power restoration solution in the distribution network is proposed. The distribution management and control of microgrid energy, the major issues, and challenges of microgrid control are presented in [14]. The integration of renewable energy sources into grid creates new challenges, Boudoudouh et al [15] proposed a real-time distributed system modeling and management of amicrogrid that combined a photovoltaic source, fuel cell, and electrolyzer system by MAS technology, using the MACSimJX platform.…”

Section: Introductionmentioning

confidence: 99%

Archives of Electrical Engineering

Azeroual,

Lamhamdi,

El Moussaoui

et al. 2020

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The smart grid concept is predicated upon the pervasive use of advanced digital communication, information techniques, and artificial intelligence for the current power system, to be more characteristics of the real-time monitoring and controlling of the supply/demand. Microgrids are modern types of power systems used for distributed energy resource (DER) integration. However, the microgrid energy management, the control, and protection of microgrid components (energy sources, loads, and local storage units) is an important challenge. In this paper, the distributed energy management algorithm and control strategy of a smart microgrid is proposed using an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time. The MAS proposed is developed with co-simulation tools, which the microgrid model, simulated using MATLAB/Simulink, and the MAS algorithm implemented in JADE through a middleware MACSimJX. The main study is to develop a new approach, able to communicate a multi-task environment such as MAS inside the S-function block of Simulink, to achieve the optimal energy management objectives.

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Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid using MACSimJX

Cited by 5 publications

References 11 publications

Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

Agent-Based Coordinated Control of Power Electronic Converters in a Microgrid

Archives of Electrical Engineering

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