Resilience-Oriented Framework for Microgrid Planning in Distribution Systems
Recently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/6/2145 |
| _version_ | 1797471808872513536 |
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| author | Eun-Tae Son In-Su Bae Sung-Yul Kim Dong-Min Kim |
| author_facet | Eun-Tae Son In-Su Bae Sung-Yul Kim Dong-Min Kim |
| author_sort | Eun-Tae Son |
| collection | DOAJ |
| description | Recently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Therefore, this paper proposes a framework for MG planning, which focuses on resilience estimation. To consider the uncertainties of future failure events, the proposed method for estimating the resilience utilized the Monte Carlo simulation. In addition, an optimal scenario was estimated using a cost–benefit analysis and constraints on the expected value of resilience enhancement. In the case study, an actual MG installation at D-university was evaluated to obtain the optimal MG planning scenario. The results show that the capacity and installation locations of the distributed generators (DGs) impact the resilience enhancement. The proposed method can effectively derive the optimal MG planning scenario by evaluating the possibility of future operations based on the segmentation of both the system configuration and type of DG to improve the resilience of distribution systems. |
| first_indexed | 2024-03-09T19:53:19Z |
| format | Article |
| id | doaj.art-a6d61370021445048498268f2df3c66d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T19:53:19Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a6d61370021445048498268f2df3c66d2023-11-24T01:05:13ZengMDPI AGEnergies1996-10732022-03-01156214510.3390/en15062145Resilience-Oriented Framework for Microgrid Planning in Distribution SystemsEun-Tae Son0In-Su Bae1Sung-Yul Kim2Dong-Min Kim3Department of Electrical Engineering, Dongshin University, Naju 58245, KoreaDepartment of Electrical Engineering, Kangwon National University, Samcheok 25913, KoreaDepartment of Electrical Energy Engineering, Keimyung University, Daegu 42601, KoreaDepartment of Electrical Engineering, Dongshin University, Naju 58245, KoreaRecently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Therefore, this paper proposes a framework for MG planning, which focuses on resilience estimation. To consider the uncertainties of future failure events, the proposed method for estimating the resilience utilized the Monte Carlo simulation. In addition, an optimal scenario was estimated using a cost–benefit analysis and constraints on the expected value of resilience enhancement. In the case study, an actual MG installation at D-university was evaluated to obtain the optimal MG planning scenario. The results show that the capacity and installation locations of the distributed generators (DGs) impact the resilience enhancement. The proposed method can effectively derive the optimal MG planning scenario by evaluating the possibility of future operations based on the segmentation of both the system configuration and type of DG to improve the resilience of distribution systems.https://www.mdpi.com/1996-1073/15/6/2145cost–benefit analysisdistribution system resilienceempirical distribution functionexpected value of resilience enhancementmicrogridMonte Carlo simulation |
| spellingShingle | Eun-Tae Son In-Su Bae Sung-Yul Kim Dong-Min Kim Resilience-Oriented Framework for Microgrid Planning in Distribution Systems Energies cost–benefit analysis distribution system resilience empirical distribution function expected value of resilience enhancement microgrid Monte Carlo simulation |
| title | Resilience-Oriented Framework for Microgrid Planning in Distribution Systems |
| title_full | Resilience-Oriented Framework for Microgrid Planning in Distribution Systems |
| title_fullStr | Resilience-Oriented Framework for Microgrid Planning in Distribution Systems |
| title_full_unstemmed | Resilience-Oriented Framework for Microgrid Planning in Distribution Systems |
| title_short | Resilience-Oriented Framework for Microgrid Planning in Distribution Systems |
| title_sort | resilience oriented framework for microgrid planning in distribution systems |
| topic | cost–benefit analysis distribution system resilience empirical distribution function expected value of resilience enhancement microgrid Monte Carlo simulation |
| url | https://www.mdpi.com/1996-1073/15/6/2145 |
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