Improving resilience of networked multi-energy carrier microgrids through proactive scheduling
The interdependence of various energy carriers within networked multi-energy carrier microgrids (NMECMs) enhances resilience against high-impact low-probability (HILP) events. However, these interdependences can also increase vulnerability to disruptions. This paper introduces a proactive scheduling...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525000614 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832087831679336448 |
|---|---|
| author | Ali Akbar Ghasemi Mohsen Gitizadeh Mohammadali Norouzi |
| author_facet | Ali Akbar Ghasemi Mohsen Gitizadeh Mohammadali Norouzi |
| author_sort | Ali Akbar Ghasemi |
| collection | DOAJ |
| description | The interdependence of various energy carriers within networked multi-energy carrier microgrids (NMECMs) enhances resilience against high-impact low-probability (HILP) events. However, these interdependences can also increase vulnerability to disruptions. This paper introduces a proactive scheduling model designed to bolster NMECM resilience during sudden outages in upstream gas and electricity networks. The proposed method adjusts microgrid scheduling to secure feasible islanding, maximize preparedness, and minimize operating costs and load shedding. The optimization problem is modeled as a two-stage mixed-integer linear programming. In the first stage, scheduling of the microgrids is programmed in normal mode. In the second stage, the schedule of the microgrids is modeled in the mode of disconnection from both the gas and electricity networks. Furthermore, to consider both normal and contingency uncertainties, stochastic and deterministic models of proactive resilient scheduling for the NMECMs are presented. Moreover, the benefits of responsive electrical and heat loads are considered. Finally, by performing simulations, the efficiency of the proposed method in improving the resilience of the test NMECMs is evaluated. Numerical results demonstrate the superior performance of the proposed model over the other scheduling models. In particular, the unpreparedness index of the proposed stochastic proactive scheduling model reduces by 68% compared with the normal scheduling, while ensuring uninterrupted power supply to critical electrical and heat loads even in islanding conditions. |
| format | Article |
| id | doaj-art-cbe740fc14c7403290452028f802e102 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-cbe740fc14c7403290452028f802e1022025-02-06T05:10:57ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-04-01165110510Improving resilience of networked multi-energy carrier microgrids through proactive schedulingAli Akbar Ghasemi0Mohsen Gitizadeh1Mohammadali Norouzi2Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranCorresponding author.; Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranThe interdependence of various energy carriers within networked multi-energy carrier microgrids (NMECMs) enhances resilience against high-impact low-probability (HILP) events. However, these interdependences can also increase vulnerability to disruptions. This paper introduces a proactive scheduling model designed to bolster NMECM resilience during sudden outages in upstream gas and electricity networks. The proposed method adjusts microgrid scheduling to secure feasible islanding, maximize preparedness, and minimize operating costs and load shedding. The optimization problem is modeled as a two-stage mixed-integer linear programming. In the first stage, scheduling of the microgrids is programmed in normal mode. In the second stage, the schedule of the microgrids is modeled in the mode of disconnection from both the gas and electricity networks. Furthermore, to consider both normal and contingency uncertainties, stochastic and deterministic models of proactive resilient scheduling for the NMECMs are presented. Moreover, the benefits of responsive electrical and heat loads are considered. Finally, by performing simulations, the efficiency of the proposed method in improving the resilience of the test NMECMs is evaluated. Numerical results demonstrate the superior performance of the proposed model over the other scheduling models. In particular, the unpreparedness index of the proposed stochastic proactive scheduling model reduces by 68% compared with the normal scheduling, while ensuring uninterrupted power supply to critical electrical and heat loads even in islanding conditions.http://www.sciencedirect.com/science/article/pii/S0142061525000614Feasibility islandingNetworked multi-energy carrier microgrids (NMECMs)PreparednessResilient proactive scheduling |
| spellingShingle | Ali Akbar Ghasemi Mohsen Gitizadeh Mohammadali Norouzi Improving resilience of networked multi-energy carrier microgrids through proactive scheduling International Journal of Electrical Power & Energy Systems Feasibility islanding Networked multi-energy carrier microgrids (NMECMs) Preparedness Resilient proactive scheduling |
| title | Improving resilience of networked multi-energy carrier microgrids through proactive scheduling |
| title_full | Improving resilience of networked multi-energy carrier microgrids through proactive scheduling |
| title_fullStr | Improving resilience of networked multi-energy carrier microgrids through proactive scheduling |
| title_full_unstemmed | Improving resilience of networked multi-energy carrier microgrids through proactive scheduling |
| title_short | Improving resilience of networked multi-energy carrier microgrids through proactive scheduling |
| title_sort | improving resilience of networked multi energy carrier microgrids through proactive scheduling |
| topic | Feasibility islanding Networked multi-energy carrier microgrids (NMECMs) Preparedness Resilient proactive scheduling |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525000614 |
| work_keys_str_mv | AT aliakbarghasemi improvingresilienceofnetworkedmultienergycarriermicrogridsthroughproactivescheduling AT mohsengitizadeh improvingresilienceofnetworkedmultienergycarriermicrogridsthroughproactivescheduling AT mohammadalinorouzi improvingresilienceofnetworkedmultienergycarriermicrogridsthroughproactivescheduling |