A MAS architecture for microgrids control

Dimeas, AL; Hatziargyriou, ND

dc.contributor.author	Dimeas, AL	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:43:04Z
dc.date.available	2014-03-01T02:43:04Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31205
dc.subject	Distributed generation	en
dc.subject	Layered learning	en
dc.subject	Microgrids	en
dc.subject	Multi agent system	en
dc.subject	Reinforcement learning	en
dc.subject.other	Distributed generation	en
dc.subject.other	Layered learning	en
dc.subject.other	Microgrids	en
dc.subject.other	Reinforcement learning	en
dc.subject.other	Integrated control	en
dc.subject.other	Learning systems	en
dc.subject.other	Multi agent systems	en
dc.title	A MAS architecture for microgrids control	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISAP.2005.1599297	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISAP.2005.1599297	en
heal.identifier.secondary	1599297	en
heal.publicationDate	2005	en
heal.abstract	This paper presents a general Multi Agent System based framework for the control of Microgrids. The main target is to present a system capable of integrating several functionalities and to propose a general scheme for the control of Microgrids. This architecture should be adaptable to the complexity and the size of the system. The architecture is based on the idea of layered learning where the various controls and actions of the agents are grouped depending on their effect on the environment. Finally, various technical issues regarding the development of such a system will be presented as well the advantages of this technology. © 2005 ISAP.	en
heal.journalName	Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05	en
dc.identifier.doi	10.1109/ISAP.2005.1599297	en
dc.identifier.volume	2005	en
dc.identifier.spage	402	en
dc.identifier.epage	406	en