Hydrogen storage planning robust to year‐round net load fluctuation
Abstract Long‐term hydrogen storage systems are considered a solution to the long‐term supply imbalance caused by different seasonal characteristics in renewable energy output and load. However, most existing planning models assume the whole year‐round net load series is known in advance and the opt...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13097 |
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| _version_ | 1832579810656780288 |
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| author | Boyang Chen Minghua Jiang Dezhou Yang Hao Shi Ning Zhang Jiahao Ma |
| author_facet | Boyang Chen Minghua Jiang Dezhou Yang Hao Shi Ning Zhang Jiahao Ma |
| author_sort | Boyang Chen |
| collection | DOAJ |
| description | Abstract Long‐term hydrogen storage systems are considered a solution to the long‐term supply imbalance caused by different seasonal characteristics in renewable energy output and load. However, most existing planning models assume the whole year‐round net load series is known in advance and the optimal operation sequence of long‐term storage is derived accordingly. This assumption underestimates the necessary long‐term storage capacity because of the difficulty of accurate fine‐grained long‐term forecasting. This work proposes a long‐term hydrogen storage planning framework that is robust to year‐round net load fluctuation. The daily average component from the historical net load series is first derived to formulate the long‐term operation scenario set. On this basis, a robust planning model is developed where the trend of long‐term storage operation is forced to be identical for all long‐term operation scenarios and not to respond to one specific scenario with full information of the net load sequence. The results show that the planning results given by the proposed framework are more robust in real‐time operation with less load shedding. |
| format | Article |
| id | doaj-art-4a317e1797dc4025a0b3c1561fe5896c |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-4a317e1797dc4025a0b3c1561fe5896c2025-01-30T12:15:54ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163980399310.1049/rpg2.13097Hydrogen storage planning robust to year‐round net load fluctuationBoyang Chen0Minghua Jiang1Dezhou Yang2Hao Shi3Ning Zhang4Jiahao Ma5State Grid Gansu Electric Power Company Economic and Technological Research Institute Lanzhou Gansu ChinaState Grid Gansu Electric Power Company Economic and Technological Research Institute Lanzhou Gansu ChinaState Grid Gansu Electric Power Company Economic and Technological Research Institute Lanzhou Gansu ChinaBeijing Tsintergy Technology Co., Ltd. Beijing ChinaDepartment of Electrical Engineering Tsinghua University Beijing ChinaDepartment of Electrical Engineering Tsinghua University Beijing ChinaAbstract Long‐term hydrogen storage systems are considered a solution to the long‐term supply imbalance caused by different seasonal characteristics in renewable energy output and load. However, most existing planning models assume the whole year‐round net load series is known in advance and the optimal operation sequence of long‐term storage is derived accordingly. This assumption underestimates the necessary long‐term storage capacity because of the difficulty of accurate fine‐grained long‐term forecasting. This work proposes a long‐term hydrogen storage planning framework that is robust to year‐round net load fluctuation. The daily average component from the historical net load series is first derived to formulate the long‐term operation scenario set. On this basis, a robust planning model is developed where the trend of long‐term storage operation is forced to be identical for all long‐term operation scenarios and not to respond to one specific scenario with full information of the net load sequence. The results show that the planning results given by the proposed framework are more robust in real‐time operation with less load shedding.https://doi.org/10.1049/rpg2.13097hybrid renewable energy systemshydrogen storage |
| spellingShingle | Boyang Chen Minghua Jiang Dezhou Yang Hao Shi Ning Zhang Jiahao Ma Hydrogen storage planning robust to year‐round net load fluctuation IET Renewable Power Generation hybrid renewable energy systems hydrogen storage |
| title | Hydrogen storage planning robust to year‐round net load fluctuation |
| title_full | Hydrogen storage planning robust to year‐round net load fluctuation |
| title_fullStr | Hydrogen storage planning robust to year‐round net load fluctuation |
| title_full_unstemmed | Hydrogen storage planning robust to year‐round net load fluctuation |
| title_short | Hydrogen storage planning robust to year‐round net load fluctuation |
| title_sort | hydrogen storage planning robust to year round net load fluctuation |
| topic | hybrid renewable energy systems hydrogen storage |
| url | https://doi.org/10.1049/rpg2.13097 |
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