Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology
File(s)
Published version
Author(s)
Shahbazbegian, Vahid
Dehghani, Farnam
Agha Shafiyi,, Mohammad
Shafie-khah, Miadreza
Laaksonen, Hannu
Type
Journal Article
Abstract
Renewable resources and energy storage systems integrated into microgrids are crucial in attaining sustainable energy consumption and energy cost savings. This study conducts an in-depth analysis of diverse storage systems within multi-energy microgrids, including natural gas and electricity subsystems, with a comprehensive focus on techno-economic considerations. To achieve this objective, a methodology is developed, comprising an optimization model that facilitates the determination of optimal storage system locations within microgrids. The model considers various factors, such as operating and emission costs of both gas and electricity subsystems, and incorporates a sensitivity analysis to calculate the investment and maintenance costs associated with the storage systems. Due to the incorporation of voltage and current relations in the electricity subsystem as well as gas pressure and flow considerations in the natural gas subsystem, the developed model is classified as a mixed-integer nonlinear programming model. To address the inherent complexity in solving, a decomposition approach based on Outer Approximation/Equality Relaxation/Augmented Penalty is developed. This study offers scientific insights into the costs of energy storage systems, potential operational cost savings, and technical considerations of microgrid operation. The results of the developed decomposition approach demonstrate significant advantages, including reduced solving time and a decreased number of iterations.
Date Issued
2023-11-15
Date Acceptance
2023-07-12
Citation
Energy, 2023, 283, pp.1-16
ISSN
0360-5442
Publisher
Elsevier
Start Page
1
End Page
16
Journal / Book Title
Energy
Volume
283
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
Identifier
https://www.sciencedirect.com/science/article/pii/S0360544223018248
Publication Status
Published
Article Number
128430
Date Publish Online
2023-07-19