Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11049
Title: A goal programming methodology for multiobjective optimization of distributed energy hubs operation
Authors: La Scala, M
Vaccaro, A
Zobaa, AF
Keywords: Energy hubs;Multicarrier energy networks;Optimal energy flow analysis
Issue Date: 2014
Publisher: Elsevier Ltd
Citation: Applied Thermal Engineering, 71(2): 658 - 666, (22 October 2014)
Abstract: This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology. The application of this solution approach allows the analyst to identify the optimal operation state of the distributed energy hubs which ensures an effective and reliable operation of the multicarrier energy network in spite of large variations of load demands and energy prices. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to demonstrate the significance and the validity of the proposed method.
URI: http://www.sciencedirect.com/science/article/pii/S1359431113007400
http://bura.brunel.ac.uk/handle/2438/11049
DOI: http://dx.doi.org/10.1016/j.applthermaleng.2013.10.031
ISSN: 1359-4311
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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