LAPSE:2023.18846
Published Article

LAPSE:2023.18846
Energy Curtailment Scheduling MILP Formulation for an Islanded Microgrid with High Penetration of Renewable Energy
March 9, 2023
Abstract
The efficiency of photovoltaic (PV) cells has improved significantly in the last decade, making PV generation a common feature of the sustainable microgrid. As the PV-powered microgrid reaches high penetrations of intermittent PV power, optimum scheduling of over-production is necessary to minimize energy curtailment. Failure to include an accurate assessment of curtailed energy costs in the scheduling process increases wasted energy. Moreover, applying an objective function without considering the cost coefficients results in an inefficient concentration of curtailed power in a specific time interval. In this study, we provide an optimization method for scheduling the microgrid assets to evenly distribute curtailment over the entire daily period of PV generation. Each of the curtailment intervals established in our optimization model features the application of different cost coefficients. In the final step, curtailment costs are added to the objective function. The proposed cost minimization algorithm preferentially selects intervals with low curtailment costs to prevent the curtailment from being concentrated at a specific time. By inducing even distribution of curtailment, this novel optimization methodology has the potential to improve the cost-effectiveness of the PV-powered microgrid
The efficiency of photovoltaic (PV) cells has improved significantly in the last decade, making PV generation a common feature of the sustainable microgrid. As the PV-powered microgrid reaches high penetrations of intermittent PV power, optimum scheduling of over-production is necessary to minimize energy curtailment. Failure to include an accurate assessment of curtailed energy costs in the scheduling process increases wasted energy. Moreover, applying an objective function without considering the cost coefficients results in an inefficient concentration of curtailed power in a specific time interval. In this study, we provide an optimization method for scheduling the microgrid assets to evenly distribute curtailment over the entire daily period of PV generation. Each of the curtailment intervals established in our optimization model features the application of different cost coefficients. In the final step, curtailment costs are added to the objective function. The proposed cost minimization algorithm preferentially selects intervals with low curtailment costs to prevent the curtailment from being concentrated at a specific time. By inducing even distribution of curtailment, this novel optimization methodology has the potential to improve the cost-effectiveness of the PV-powered microgrid
Record ID
Keywords
curtailment cost gradation, islanded microgrid, mixed-integer linear programming, optimal scheduling
Subject
Suggested Citation
Park WH, Abunima H, Glick MB, Kim YS. Energy Curtailment Scheduling MILP Formulation for an Islanded Microgrid with High Penetration of Renewable Energy. (2023). LAPSE:2023.18846
Author Affiliations
Park WH: Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea [ORCID]
Abunima H: Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea [ORCID]
Glick MB: Hawaii Natural Energy Institute, Honolulu, HI 96822, USA [ORCID]
Kim YS: Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea [ORCID]
Abunima H: Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea [ORCID]
Glick MB: Hawaii Natural Energy Institute, Honolulu, HI 96822, USA [ORCID]
Kim YS: Graduate School of Energy Convergence, Gwangju Institute of Science and Technology, Gwangju 61005, Korea [ORCID]
Journal Name
Energies
Volume
14
Issue
19
First Page
6038
Year
2021
Publication Date
2021-09-23
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14196038, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.18846
This Record
External Link

https://doi.org/10.3390/en14196038
Publisher Version
Download
Meta
Record Statistics
Record Views
217
Version History
[v1] (Original Submission)
Mar 9, 2023
Verified by curator on
Mar 9, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.18846
Record Owner
Auto Uploader for LAPSE
Links to Related Works
