Research on the decision support system for optimal operation of large reservoir power generation
In order to give full play to the efficiency of power generation and improve the utilization rate of water resources, the optimal operation of reservoir power generation has become one of the hot researches by the experts and scholars. Luntan Key Water-Control Project is taken as an example, which g...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/13/e3sconf_cigb2022_01018.pdf |
| _version_ | 1818232749082804224 |
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| author | Li Delong Wen Tianfu Xu Xiaohua Liu Yangyang Yan Xiaoyu Jiang Shunxi Huang Ping |
| author_facet | Li Delong Wen Tianfu Xu Xiaohua Liu Yangyang Yan Xiaoyu Jiang Shunxi Huang Ping |
| author_sort | Li Delong |
| collection | DOAJ |
| description | In order to give full play to the efficiency of power generation and improve the utilization rate of water resources, the optimal operation of reservoir power generation has become one of the hot researches by the experts and scholars. Luntan Key Water-Control Project is taken as an example, which gives consideration to the comprehensive benefits of flood control and power generation. Based on building both the mathematical models of flood pre-release control and the medium-long term power generation, a decision support system with fast online optimization is developed by using SOA architecture and J2EE technology. The results show the system can improve the operation level of the reservoir power generation, reduce effectively the water abandoning rate, realize the scientific optimal operation, provide scientific basis for the management decision, and create more comprehensive benefits. |
| first_indexed | 2024-12-12T11:11:14Z |
| format | Article |
| id | doaj.art-1b73d73daee342f7af81fcc8aea64dee |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-12T11:11:14Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-1b73d73daee342f7af81fcc8aea64dee2022-12-22T00:26:17ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013460101810.1051/e3sconf/202234601018e3sconf_cigb2022_01018Research on the decision support system for optimal operation of large reservoir power generationLi Delong0Wen Tianfu1Xu Xiaohua2Liu Yangyang3Yan Xiaoyu4Jiang Shunxi5Huang Ping6Jiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceJiangxi Provincial Institute of Water ScienceIn order to give full play to the efficiency of power generation and improve the utilization rate of water resources, the optimal operation of reservoir power generation has become one of the hot researches by the experts and scholars. Luntan Key Water-Control Project is taken as an example, which gives consideration to the comprehensive benefits of flood control and power generation. Based on building both the mathematical models of flood pre-release control and the medium-long term power generation, a decision support system with fast online optimization is developed by using SOA architecture and J2EE technology. The results show the system can improve the operation level of the reservoir power generation, reduce effectively the water abandoning rate, realize the scientific optimal operation, provide scientific basis for the management decision, and create more comprehensive benefits.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/13/e3sconf_cigb2022_01018.pdf |
| spellingShingle | Li Delong Wen Tianfu Xu Xiaohua Liu Yangyang Yan Xiaoyu Jiang Shunxi Huang Ping Research on the decision support system for optimal operation of large reservoir power generation E3S Web of Conferences |
| title | Research on the decision support system for optimal operation of large reservoir power generation |
| title_full | Research on the decision support system for optimal operation of large reservoir power generation |
| title_fullStr | Research on the decision support system for optimal operation of large reservoir power generation |
| title_full_unstemmed | Research on the decision support system for optimal operation of large reservoir power generation |
| title_short | Research on the decision support system for optimal operation of large reservoir power generation |
| title_sort | research on the decision support system for optimal operation of large reservoir power generation |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/13/e3sconf_cigb2022_01018.pdf |
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