Resilience-oriented operation of microgrids in the presence of power-to-hydrogen systems
File(s)
Published version
Author(s)
Shahbazbegian, Vahid
Shafie-khah, Miadreza
Laaksonen, Hannu
Strbac, Goran
Ameli, Hossein
Type
Journal Article
Abstract
This study presents a novel framework for improving the resilience of microgrids based on the power-to-hydrogen concept
and the ability of microgrids to operate independently (i.e., islanded mode). For this purpose, a model is being developed
for the resilient operation of microgrids in which the compressed hydrogen produced by power-to-hydrogen systems can
either be used to generate electricity through fuel cells or sold to other industries. The model is a bi-objective optimization
problem, which minimizes the cost of operation and resilience by (i) reducing the active power exchange with the main
grid, (ii) reducing the ohmic power losses, and (iii) increasing the amount of hydrogen stored in the tanks. A solution
approach is also developed to deal with the complexity of the bi-objective model, combining a goal programming
approach and Generalized Benders Decomposition, due to the mixed-integer nonlinear nature of the optimization
problem. The results indicate that the resilience approach, although increasing the operation cost, does not lead to load
shedding in the event of main grid failures. The study concludes that integrating distributed power-to-hydrogen systems
results in significant benefits, including emission reductions of up to 20% and cost savings of up to 30%. Additionally,
the integration of the decomposition method improves computational performance by 54% compared to using commercial
solvers within the GAMS software
and the ability of microgrids to operate independently (i.e., islanded mode). For this purpose, a model is being developed
for the resilient operation of microgrids in which the compressed hydrogen produced by power-to-hydrogen systems can
either be used to generate electricity through fuel cells or sold to other industries. The model is a bi-objective optimization
problem, which minimizes the cost of operation and resilience by (i) reducing the active power exchange with the main
grid, (ii) reducing the ohmic power losses, and (iii) increasing the amount of hydrogen stored in the tanks. A solution
approach is also developed to deal with the complexity of the bi-objective model, combining a goal programming
approach and Generalized Benders Decomposition, due to the mixed-integer nonlinear nature of the optimization
problem. The results indicate that the resilience approach, although increasing the operation cost, does not lead to load
shedding in the event of main grid failures. The study concludes that integrating distributed power-to-hydrogen systems
results in significant benefits, including emission reductions of up to 20% and cost savings of up to 30%. Additionally,
the integration of the decomposition method improves computational performance by 54% compared to using commercial
solvers within the GAMS software
Date Issued
2023-10-15
Date Acceptance
2023-06-09
Citation
Applied Energy, 2023, 348
ISSN
0306-2619
Publisher
Elsevier
Journal / Book Title
Applied Energy
Volume
348
Copyright Statement
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Publication Status
Published
Article Number
ARTN 121429
Date Publish Online
2023-07-13