LAPSE:2023.13215
Published Article
LAPSE:2023.13215
Microgrid Assisted Design for Remote Areas
February 28, 2023
In this work, we present a three-stage multiobjective mixed-integer linear programming (MILP) for the optimal expansion planning and operation of isolated multienergy microgrids in remote areas. By selecting the optimal distributed generators (DGs) and energy storage systems (ESSs) mix selection, siting, sizing, and scheduling in the remote microgrid, the proposed model is targeted to minimize the annualized total cost of microgrids while enhancing the performance of the system, i.e., minimizing the voltage deviations and line power loss. To represent the electricity and heat flow between generation resources and various electrical, heating, and cooling loads in the isolated microgrid, linearized power flow, and heat flow constraints are employed in the proposed optimization model. The available capacity of DGs and ESSs are modeled as discrete constants instead of continuous variables for practical purpose. Numerical simulation results on a remote microgrid consisting of DGs, ESSs, and various loads validate the proposed method.
Record ID
Keywords
microgrid, mixed-integer linear programming (MILP), planning and operation, siting and sizing
Subject
Suggested Citation
Liu G, Li Z, Xue Y, Tomsovic K. Microgrid Assisted Design for Remote Areas. (2023). LAPSE:2023.13215
Author Affiliations
Liu G: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA [ORCID]
Li Z: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Xue Y: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Tomsovic K: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
Li Z: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Xue Y: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Tomsovic K: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
Journal Name
Energies
Volume
15
Issue
10
First Page
3725
Year
2022
Publication Date
2022-05-19
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15103725, Publication Type: Journal Article
Record Map
Published Article
LAPSE:2023.13215
This Record
External Link
doi:10.3390/en15103725
Publisher Version
Download
Meta
Record Statistics
Record Views
162
Version History
[v1] (Original Submission)
Feb 28, 2023
Verified by curator on
Feb 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.13215
Original Submitter
Auto Uploader for LAPSE
Links to Related Works