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An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making

Perera, A.T.D. ; Nik, Vahid M. LU orcid ; Mauree, Dasaraden and Scartezzini, Jean-Louis (2017) In Energy 134. p.103-120
Abstract
An integrated approach is presented in this study to design electrical hubs combining optimization, multi-criterion assessment and decision making. Levelized Energy Cost (LEC), Initial Capital Cost (ICC), Grid Integration Level (GI), Levelized CO2 emission (LCO2), utilization of renewable energy, flexibility of the system, loss of load probability (LOLP) are considered as criteria used to assess the design. The novel approach consists of several steps. Pareto analysis is conducted initially using 2D Pareto fronts to reduce the dimensions of the optimization problem. Subsequently, Pareto multi objective optimization is conducted considering LEC, GI and ICC which were identified as the best set of objective functions to represent the design... (More)
An integrated approach is presented in this study to design electrical hubs combining optimization, multi-criterion assessment and decision making. Levelized Energy Cost (LEC), Initial Capital Cost (ICC), Grid Integration Level (GI), Levelized CO2 emission (LCO2), utilization of renewable energy, flexibility of the system, loss of load probability (LOLP) are considered as criteria used to assess the design. The novel approach consists of several steps. Pareto analysis is conducted initially using 2D Pareto fronts to reduce the dimensions of the optimization problem. Subsequently, Pareto multi objective optimization is conducted considering LEC, GI and ICC which were identified as the best set of objective functions to represent the design requirements. Next, fuzzy TOPSIS and level diagrams are used for multi-criterion decision making (MCDM) considering the set of criteria and the boundary matrix that represents the design requirements of the application. Pareto analysis shows that 5D optimization problem can be reduced to a 3D optimization problem when considering LEC, ICC and GI as the objective functions. Finally, results obtained from the case study shows that the novel method can be used design distributed energy systems considering a set of criteria which is beyond the reach of Pareto optimization with different priority levels. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Distributed energy system, Multi-objective optimization, Multi-criterion assessment, Decision making, Electrical hub, Fuzzy TOPSIS
in
Energy
volume
134
pages
18 pages
publisher
Elsevier
external identifiers
  • scopus:85020438235
  • wos:000408288100009
ISSN
0360-5442
DOI
10.1016/j.energy.2017.06.002
project
Assessment of future urban energy systems - Future energy efficient buildings and districts
Adaptation of buildings and energy systems to uncertain future conditions – Assessing renewable energy sources and climate change
language
English
LU publication?
yes
additional info
A novel integrated method to design distributed energy system. Determine most suitable objective functions for Pareto optimization. MCDM considering set of criterions with different priorities. Combine optimization, Pareto analysis and MCDM.
id
b2873e47-e62f-4c11-b47c-4c61f9df6602
date added to LUP
2017-06-10 17:19:26
date last changed
2025-04-04 14:42:05
@article{b2873e47-e62f-4c11-b47c-4c61f9df6602,
  abstract     = {{An integrated approach is presented in this study to design electrical hubs combining optimization, multi-criterion assessment and decision making. Levelized Energy Cost (LEC), Initial Capital Cost (ICC), Grid Integration Level (GI), Levelized CO2 emission (LCO2), utilization of renewable energy, flexibility of the system, loss of load probability (LOLP) are considered as criteria used to assess the design. The novel approach consists of several steps. Pareto analysis is conducted initially using 2D Pareto fronts to reduce the dimensions of the optimization problem. Subsequently, Pareto multi objective optimization is conducted considering LEC, GI and ICC which were identified as the best set of objective functions to represent the design requirements. Next, fuzzy TOPSIS and level diagrams are used for multi-criterion decision making (MCDM) considering the set of criteria and the boundary matrix that represents the design requirements of the application. Pareto analysis shows that 5D optimization problem can be reduced to a 3D optimization problem when considering LEC, ICC and GI as the objective functions. Finally, results obtained from the case study shows that the novel method can be used design distributed energy systems considering a set of criteria which is beyond the reach of Pareto optimization with different priority levels.}},
  author       = {{Perera, A.T.D. and Nik, Vahid M. and Mauree, Dasaraden and Scartezzini, Jean-Louis}},
  issn         = {{0360-5442}},
  keywords     = {{Distributed energy system; Multi-objective optimization; Multi-criterion assessment; Decision making; Electrical hub; Fuzzy TOPSIS}},
  language     = {{eng}},
  month        = {{09}},
  pages        = {{103--120}},
  publisher    = {{Elsevier}},
  series       = {{Energy}},
  title        = {{An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making}},
  url          = {{http://dx.doi.org/10.1016/j.energy.2017.06.002}},
  doi          = {{10.1016/j.energy.2017.06.002}},
  volume       = {{134}},
  year         = {{2017}},
}