Agent based modeling of energy networks

Simple item page
dc.contributor.authorGonzalez de Durana, Jose Maria
dc.contributor.authorBarambones, Oscar
dc.contributor.authorKremers, Enrique
dc.contributor.authorVarga, Liz
dc.date.accessioned2016-05-26T10:33:03Z
dc.date.available2016-05-26T10:33:03Z
dc.date.issued2014-04-03
dc.description.abstractAttempts to model any present or future power grid face a huge challenge because a power grid is a complex system, with feedback and multi-agent behaviors, integrated by generation, distribution, storage and consumption systems, using various control and automation computing systems to manage electricity flows. Our approach to modeling is to build upon an established model of the low voltage electricity network which is tested and proven, by extending it to a generalized energy model. But, in order to address the crucial issues of energy efficiency, additional processes like energy conversion and storage, and further energy carriers, such as gas, heat, etc., besides the traditional electrical one, must be considered. Therefore a more powerful model, provided with enhanced nodes or conversion points, able to deal with multidimensional flows, is being required. This article addresses the issue of modeling a local multi-carrier energy network. This problem can be considered as an extension of modeling a low voltage distribution network located at some urban or rural geographic area. But instead of using an external power flow analysis package to do the power flow calculations, as used in electric networks, in this work we integrate a multiagent algorithm to perform the task, in a concurrent way to the other simulation tasks, and not only for the electric fluid but also for a number of additional energy carriers. As the model is mainly focused in system operation, generation and load models are not developed.en_UK
dc.identifier.citationJosé María Gonzalez de Durana, Oscar Barambones, Enrique Kremers, Liz Varga, Agent based modeling of energy networks, Energy Conversion and Management, Volume 82, June 2014, Pages 308-319en_UK
dc.identifier.issn0196-8904
dc.identifier.urihttp://dx.doi.org/10.1016/j.enconman.2014.03.018
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/9916
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivitives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permitsen_UK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Energy Conversion and Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy Conversion and Management, VOL 82,03/04/2014,DOI 10.1016/j.enconman.2014.03.018.en_UK
dc.subjectComplex systemsen_UK
dc.subjectAgent based modelingen_UK
dc.subjectElectric griden_UK
dc.subjectSmart griden_UK
dc.subjectRenewable energy systemsen_UK
dc.subjectMicrogrids modelingen_UK
dc.subjectMulti-carrier energy systemsen_UK
dc.titleAgent based modeling of energy networksen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Agent_based_modeling_of_energy_networks_2014.pdf
Size:
591.12 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SoM)