A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids.
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| Title: | A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids. |
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| Authors: | Karavas, Christos-Spyridon1 ckarav@aua.gr, Kyriakarakos, George1, Arvanitis, Konstantinos G.1, Papadakis, George1 |
| Source: | Energy Conversion & Management. Oct2015, Vol. 103, p166-179. 14p. |
| Subjects: | Energy management, Electric power distribution, Electric power distribution grids, Drinking water purification, Hydrogen as fuel |
| Abstract: | The autonomous polygeneration microgrid topology has been developed in order to cover holistically needs in a remote area such as electrical energy, space heating and cooling, potable water through desalination and hydrogen as fuel for transportation. The existence of an advanced energy management system is essential for the operation of an autonomous polygeneration microgrid. So far, energy management systems based on a centralized management and control have been developed for the autonomous polygeneration microgrid topology based on computational intelligence approaches. A decentralized management and control energy management system can have important benefits, when taking into consideration the autonomous character of these microgrids. This paper presents the design and investigation of a decentralized energy management system for the autonomous polygeneration microgrid topology. The decentralized energy management system gives the possibility to control each unit of the microgrid independently. The most important advantage of using a decentralized architecture is that the managed microgrid has much higher chances of partial operation in cases when malfunctions occur at different parts of it, instead of a complete system breakdown. The designed system was based on a multi-agent system and employed Fuzzy Cognitive Maps for its implementation. It was then compared through a case study with an existing centralized energy management system. The technical performance of the decentralized solution performance is on par with the existing centralized one, presenting improvements in financial and operational terms for the implementation and operation of an autonomous polygeneration microgrid. [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Conversion & Management is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108678787 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Karavas%2C+Christos-Spyridon%22">Karavas, Christos-Spyridon</searchLink><relatesTo>1</relatesTo><i> ckarav@aua.gr</i><br /><searchLink fieldCode="AR" term="%22Kyriakarakos%2C+George%22">Kyriakarakos, George</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Arvanitis%2C+Konstantinos+G%2E%22">Arvanitis, Konstantinos G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Papadakis%2C+George%22">Papadakis, George</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Conversion+%26+Management%22">Energy Conversion & Management</searchLink>. Oct2015, Vol. 103, p166-179. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution%22">Electric power distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Drinking+water+purification%22">Drinking water purification</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrogen+as+fuel%22">Hydrogen as fuel</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The autonomous polygeneration microgrid topology has been developed in order to cover holistically needs in a remote area such as electrical energy, space heating and cooling, potable water through desalination and hydrogen as fuel for transportation. The existence of an advanced energy management system is essential for the operation of an autonomous polygeneration microgrid. So far, energy management systems based on a centralized management and control have been developed for the autonomous polygeneration microgrid topology based on computational intelligence approaches. A decentralized management and control energy management system can have important benefits, when taking into consideration the autonomous character of these microgrids. This paper presents the design and investigation of a decentralized energy management system for the autonomous polygeneration microgrid topology. The decentralized energy management system gives the possibility to control each unit of the microgrid independently. The most important advantage of using a decentralized architecture is that the managed microgrid has much higher chances of partial operation in cases when malfunctions occur at different parts of it, instead of a complete system breakdown. The designed system was based on a multi-agent system and employed Fuzzy Cognitive Maps for its implementation. It was then compared through a case study with an existing centralized energy management system. The technical performance of the decentralized solution performance is on par with the existing centralized one, presenting improvements in financial and operational terms for the implementation and operation of an autonomous polygeneration microgrid. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energy Conversion & Management is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.enconman.2015.06.021 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 166 Subjects: – SubjectFull: Energy management Type: general – SubjectFull: Electric power distribution Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Drinking water purification Type: general – SubjectFull: Hydrogen as fuel Type: general Titles: – TitleFull: A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karavas, Christos-Spyridon – PersonEntity: Name: NameFull: Kyriakarakos, George – PersonEntity: Name: NameFull: Arvanitis, Konstantinos G. – PersonEntity: Name: NameFull: Papadakis, George IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 01968904 Numbering: – Type: volume Value: 103 Titles: – TitleFull: Energy Conversion & Management Type: main |
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