Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability
Abstract Power supply reliability (PSR) is a critical factor in the optimal configuration of stand‐alone microgrids. Considering the impact of the failure outage of power generation and energy storage equipment, as well as the uncertainty of renewable energy on PSR, a multi‐objective bi‐level mixed‐...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | IET Energy Systems Integration |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/esi2.12060 |
| _version_ | 1818474697700933632 |
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| author | Wei Wei Herong Wang Kai Hou Ledong Ji |
| author_facet | Wei Wei Herong Wang Kai Hou Ledong Ji |
| author_sort | Wei Wei |
| collection | DOAJ |
| description | Abstract Power supply reliability (PSR) is a critical factor in the optimal configuration of stand‐alone microgrids. Considering the impact of the failure outage of power generation and energy storage equipment, as well as the uncertainty of renewable energy on PSR, a multi‐objective bi‐level mixed‐integer optimisation model is proposed. Based on Benders decomposition, the model is decoupled into a master problem (MP) of the equipment optimal configuration considering economy and environmental conservation and a sub‐problem (SP) of the PSR check. Considering the load importance hierarchy, two types of slack variables are introduced into the SP to ensure both the reliable power supply of important loads and the PSR of the system. Through interactive iteration of the MP and SP, the complexity of the optimisation model is considerably reduced, improving the solution efficiency while ensuring the rationality of the optimal configuration scheme. Finally, the effectiveness of the proposed model is verified by a typical stand‐alone wind–photovoltaic–diesel–battery microgrid system and analysed in terms of the impact of reliability requirement and energy storage on the configuration scheme and algorithm convergence. |
| first_indexed | 2024-04-14T04:39:41Z |
| format | Article |
| id | doaj.art-1a7bb2bacbc04c23bb63731a6721db5f |
| institution | Directory Open Access Journal |
| issn | 2516-8401 |
| language | English |
| last_indexed | 2024-04-14T04:39:41Z |
| publishDate | 2022-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Energy Systems Integration |
| spelling | doaj.art-1a7bb2bacbc04c23bb63731a6721db5f2022-12-22T02:11:42ZengWileyIET Energy Systems Integration2516-84012022-06-014228129510.1049/esi2.12060Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliabilityWei Wei0Herong Wang1Kai Hou2Ledong Ji3Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin ChinaKey Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin ChinaKey Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin ChinaKey Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin ChinaAbstract Power supply reliability (PSR) is a critical factor in the optimal configuration of stand‐alone microgrids. Considering the impact of the failure outage of power generation and energy storage equipment, as well as the uncertainty of renewable energy on PSR, a multi‐objective bi‐level mixed‐integer optimisation model is proposed. Based on Benders decomposition, the model is decoupled into a master problem (MP) of the equipment optimal configuration considering economy and environmental conservation and a sub‐problem (SP) of the PSR check. Considering the load importance hierarchy, two types of slack variables are introduced into the SP to ensure both the reliable power supply of important loads and the PSR of the system. Through interactive iteration of the MP and SP, the complexity of the optimisation model is considerably reduced, improving the solution efficiency while ensuring the rationality of the optimal configuration scheme. Finally, the effectiveness of the proposed model is verified by a typical stand‐alone wind–photovoltaic–diesel–battery microgrid system and analysed in terms of the impact of reliability requirement and energy storage on the configuration scheme and algorithm convergence.https://doi.org/10.1049/esi2.12060Benders decompositionoptimal configurationpower supply reliabilitystand‐alone microgrid |
| spellingShingle | Wei Wei Herong Wang Kai Hou Ledong Ji Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability IET Energy Systems Integration Benders decomposition optimal configuration power supply reliability stand‐alone microgrid |
| title | Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability |
| title_full | Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability |
| title_fullStr | Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability |
| title_full_unstemmed | Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability |
| title_short | Multi‐objective optimal configuration of stand‐alone microgrids based on Benders decomposition considering power supply reliability |
| title_sort | multi objective optimal configuration of stand alone microgrids based on benders decomposition considering power supply reliability |
| topic | Benders decomposition optimal configuration power supply reliability stand‐alone microgrid |
| url | https://doi.org/10.1049/esi2.12060 |
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