This paper presents the implementation of the advanced distributed energy management and demand side management of a solar microgrid by a multiagent system (MAS) coordination approach. The proposed approach is built u...
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This paper presents the implementation of the advanced distributed energy management and demand side management of a solar microgrid by a multiagent system (MAS) coordination approach. The proposed approach is built upon a hybrid platform in which a solar microgrid, modelled in MATLAB/Simulink, is controlled by a MAS implemented in javaagentdevelopment Framework (JADE), bringing the MAS closer to the real-time application. Novel control strategies are designed to implement all the smart grid features in the microgrid. The Simulink model is controlled by strategic action of agents in JADE, a multithreaded computing platform, through a middleware, multiagent control using Simulink with JADE extension (MACSimJX). environment values are fed to JADE through Simulink and the decisions are given back to the Simulink model for validation and also for real-time deployment. JADE leverages the advantages of the MAS and autonomously manages all the environmental dynamics and challenges introduced by the penetration of intermittent renewable energy resources in a short time, improving the stability, reliability, and fault tolerance of the solar microgrid.
This paper introduces a multi-agent system to enhance virtual network functions placement. The suggested system consists of a number of proactive agents aiming at providing a virtual network functions configuration de...
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ISBN:
(纸本)9781728157245
This paper introduces a multi-agent system to enhance virtual network functions placement. The suggested system consists of a number of proactive agents aiming at providing a virtual network functions configuration depending on the state of the environment. Some of these agents are developed to determine an adequate target configuration based on available information and after a negotiation interaction;while other agents are designed to perceive the environment, as well as to act as managers in the decision process. The communication and the cooperation of these agents allow efficient placement of virtual network functions on distributed data-centers, possibly using multiple agent platforms. The results have demonstrated that our approach can enhance the solution by providing an adequate and automatic configuration without the intervention of any human decision-maker.
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