Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation
The modern microgrid is designed to withstand various disruptive events that have a high probability of occurrence but have a low impact on the system. This improves the reliability of the system but does not take into consideration the disruptive events that have a low probability of occurrence but...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/3074298 |
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| author | Santhan Kumar Ch N. Karuppiah B. Praveen Kumar S. Shitharth B. Dasu |
| author_facet | Santhan Kumar Ch N. Karuppiah B. Praveen Kumar S. Shitharth B. Dasu |
| author_sort | Santhan Kumar Ch |
| collection | DOAJ |
| description | The modern microgrid is designed to withstand various disruptive events that have a high probability of occurrence but have a low impact on the system. This improves the reliability of the system but does not take into consideration the disruptive events that have a low probability of occurrence but have a large impact on the system, such as extreme weather or natural disasters. Redesigning a microgrid to withstand low probability high impact events is very costly and is not a feasible solution to existing microgrids. This paper proposes a method to improve the resilience of an existing microgrid to quickly recover from low probability high impact events. The method used for this purpose is a combination of Monte Carlo simulation and prioritization of load of the microgrid. The efficacy of the method is examined by modeling microgrids using a fragility model. Using the proposed novel resilience index, the resilience of the IEEE 5-Bus system and IEEE 14-Bus system and the effect of load shedding on the resilience of the microgrid are analyzed and presented. The effect on smaller and larger grids and their resilience is examined. A novel resilience index is used to quantify the improvement of resilience of the proposed method when compared to other methods available in the literature. |
| format | Article |
| id | doaj-art-5fc53e7c8cb84ce4b67fb747817cb37e |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-5fc53e7c8cb84ce4b67fb747817cb37e2025-02-03T01:24:11ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/3074298Improvement of the Resilience of a Microgrid Using Fragility Modeling and SimulationSanthan Kumar Ch0N. Karuppiah1B. Praveen Kumar2S. Shitharth3B. Dasu4Department of EEEDepartment of EEEDepartment of EEEDepartment of CSEDepartment of EEEThe modern microgrid is designed to withstand various disruptive events that have a high probability of occurrence but have a low impact on the system. This improves the reliability of the system but does not take into consideration the disruptive events that have a low probability of occurrence but have a large impact on the system, such as extreme weather or natural disasters. Redesigning a microgrid to withstand low probability high impact events is very costly and is not a feasible solution to existing microgrids. This paper proposes a method to improve the resilience of an existing microgrid to quickly recover from low probability high impact events. The method used for this purpose is a combination of Monte Carlo simulation and prioritization of load of the microgrid. The efficacy of the method is examined by modeling microgrids using a fragility model. Using the proposed novel resilience index, the resilience of the IEEE 5-Bus system and IEEE 14-Bus system and the effect of load shedding on the resilience of the microgrid are analyzed and presented. The effect on smaller and larger grids and their resilience is examined. A novel resilience index is used to quantify the improvement of resilience of the proposed method when compared to other methods available in the literature.http://dx.doi.org/10.1155/2022/3074298 |
| spellingShingle | Santhan Kumar Ch N. Karuppiah B. Praveen Kumar S. Shitharth B. Dasu Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation Journal of Electrical and Computer Engineering |
| title | Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation |
| title_full | Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation |
| title_fullStr | Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation |
| title_full_unstemmed | Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation |
| title_short | Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation |
| title_sort | improvement of the resilience of a microgrid using fragility modeling and simulation |
| url | http://dx.doi.org/10.1155/2022/3074298 |
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