dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorWSU
dc.date.accessioned2018-12-11T16:59:08Z
dc.date.available2018-12-11T16:59:08Z
dc.date.created2018-12-11T16:59:08Z
dc.date.issued2014-03-12
dc.identifier2014 11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014 - Electronic Proceedings.
dc.identifierhttp://hdl.handle.net/11449/172195
dc.identifier10.1109/INDUSCON.2014.7059471
dc.identifier2-s2.0-84946691308
dc.description.abstractThis paper presents a Multi-Agent System (MAS) to model and enable an active power management in a multiple microgrids system consisting of batteries, photovoltaic and diesel micro sources in islanded or grid-connected operation. The multi-Agent system was developed in JADE (Java Agent DEvelopment Framework), a Foundation for Intelligent Physical Agents (FIPA) and a compliant open source multi-Agent platform. All the six case studies presented in this paper were modeled using JADE. The cases were chosen considering the real life possible scenarios, such as: discharging the battery (boost mode), energy export from the microgrid, charging the battery (buck mode), energy import from diesel generator, energy import from the grid and the system halt. However, considering that the results for the first two cases can demonstrate the performance and features of the proposed MAS, this paper focuses on the results of these cases. The results demonstrate the effectiveness of the proposed control algorithms, necessary for coordinated control and power management, and show the possibility of autonomous built-in operation of a microgrid with a multi-Agent system using JADE.
dc.languageeng
dc.relation2014 11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014 - Electronic Proceedings
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDistributed Power Sources
dc.subjectJADE
dc.subjectMicrogrids
dc.subjectMulti-Agent System
dc.subjectPhotovoltaic Power Systems
dc.subjectPower Management
dc.subjectReal-Time Simulation
dc.titleActive power management in multiple microgrids using a multi-Agent system with JADE
dc.typeActas de congresos


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