Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators
This study presents a novel microgrid optimal scheduling strategy, which considers the degradation of distributed generators (DGs). DGs affected by degradation exhibit reduced generation efficiency and capacity. Operating the microgrid without consideration of these impacts increases operating and m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9756538/ |
| _version_ | 1828274967452581888 |
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| author | Hojin Lee Jaepil Ban Sang Woo Kim |
| author_facet | Hojin Lee Jaepil Ban Sang Woo Kim |
| author_sort | Hojin Lee |
| collection | DOAJ |
| description | This study presents a novel microgrid optimal scheduling strategy, which considers the degradation of distributed generators (DGs). DGs affected by degradation exhibit reduced generation efficiency and capacity. Operating the microgrid without consideration of these impacts increases operating and management costs and reduces reliability and stability. To overcome this problem, we developed a new optimal scheduling strategy that considers the degradation of DGs. This study focuses on a permanent magnet synchronous generator, which is widely used as DGs recently, and on the degradation of stator insulation, which is one of the most frequently occurring forms of degradation. The reduction in performance caused by insulation degradation is analyzed using finite element analysis and is integrated into the optimal scheduling strategy. We demonstrate that the proposed strategy operates a microgrid more economically through a reduction of total operating costs, achieved by adaptively accounting for the increase in operating costs and the reduction of capacity arising from degradation. In addition, the sudden shutdown of a DG can be prevented by predicting its remaining useful life and incorporating it into the optimal scheduling strategy. The effectiveness and feasibility of the proposed strategy are confirmed using various case studies. |
| first_indexed | 2024-04-13T06:42:44Z |
| format | Article |
| id | doaj.art-36f676f3815f40b1801e727e12824aaf |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T06:42:44Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-36f676f3815f40b1801e727e12824aaf2022-12-22T02:57:41ZengIEEEIEEE Access2169-35362022-01-0110393623937510.1109/ACCESS.2022.31670379756538Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed GeneratorsHojin Lee0https://orcid.org/0000-0001-5117-8640Jaepil Ban1https://orcid.org/0000-0002-2019-9809Sang Woo Kim2https://orcid.org/0000-0001-6023-1837Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of KoreaSchool of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Republic of KoreaDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of KoreaThis study presents a novel microgrid optimal scheduling strategy, which considers the degradation of distributed generators (DGs). DGs affected by degradation exhibit reduced generation efficiency and capacity. Operating the microgrid without consideration of these impacts increases operating and management costs and reduces reliability and stability. To overcome this problem, we developed a new optimal scheduling strategy that considers the degradation of DGs. This study focuses on a permanent magnet synchronous generator, which is widely used as DGs recently, and on the degradation of stator insulation, which is one of the most frequently occurring forms of degradation. The reduction in performance caused by insulation degradation is analyzed using finite element analysis and is integrated into the optimal scheduling strategy. We demonstrate that the proposed strategy operates a microgrid more economically through a reduction of total operating costs, achieved by adaptively accounting for the increase in operating costs and the reduction of capacity arising from degradation. In addition, the sudden shutdown of a DG can be prevented by predicting its remaining useful life and incorporating it into the optimal scheduling strategy. The effectiveness and feasibility of the proposed strategy are confirmed using various case studies.https://ieeexplore.ieee.org/document/9756538/Distributed generatorgenerator degradationmicrogridoptimal schedulingremaining useful life estimation |
| spellingShingle | Hojin Lee Jaepil Ban Sang Woo Kim Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators IEEE Access Distributed generator generator degradation microgrid optimal scheduling remaining useful life estimation |
| title | Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators |
| title_full | Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators |
| title_fullStr | Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators |
| title_full_unstemmed | Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators |
| title_short | Microgrid Optimal Scheduling Incorporating Remaining Useful Life and Performance Degradation of Distributed Generators |
| title_sort | microgrid optimal scheduling incorporating remaining useful life and performance degradation of distributed generators |
| topic | Distributed generator generator degradation microgrid optimal scheduling remaining useful life estimation |
| url | https://ieeexplore.ieee.org/document/9756538/ |
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