An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making
Artikel i vetenskaplig tidskrift, 2017

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 EEC, 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.

Multi-criterion assessment

Grid Rural Electrification

Distributed energy system

Operational Flexibility

Stand-Alone

Selection

Multi-objective optimization

Decision making

Hybrid Energy-Systems

Prime Mover

Smart-Microgrids

Renewables

Variable

Multiobjective Optimization

Virtual Power-Plant

Evolutionary Algorithms

Författare

A. T. D. Perera

University of Moratuwa

Ecole Polytechnique Federale de Lausanne

Vahid Nik

Chalmers, Bygg- och miljöteknik, Byggnadsteknologi

D. Mauree

Ecole Polytechnique Federale de Lausanne

J. L. Scartezzini

Ecole Polytechnique Federale de Lausanne

Energy

0360-5442 (ISSN)

Vol. 134 103-120

Ämneskategorier

Energisystem

DOI

10.1016/j.energy.2017.06.002