The energy, water supply, and ecology coordination for middle-long-term reservoirsscheduling with different connection modes using an elite mutation strategy-basedNMOSFLA

Zhe Yang; Yufeng Wang; Kan YangHu HuSongbai SongShiqin XuXuguang ZhangSumeng YeJiaxin Li

首页> 外文期刊>Journal of hydroinformatics >The energy, water supply, and ecology coordination for middle-long-term reservoirsscheduling with different connection modes using an elite mutation strategy-basedNMOSFLA

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The energy, water supply, and ecology coordination for middle-long-term reservoirsscheduling with different connection modes using an elite mutation strategy-basedNMOSFLA

机译：The energy, water supply, and ecology coordination for middle-long-term reservoirsscheduling with different connection modes using an elite mutation strategy-basedNMOSFLA

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摘要

Conventional reservoir operation emphasizes power generation (PG) with ignoring downstream river ecosystem and water supply benefits forsustainable development. Compared with the model defining water supply and ecological flow requirements as constraints, a novel long-term multi-objective scheduling model in complex parallel reservoir system (LTMOSCPRS) is developed to assess and achieve win-winand sustainable development for energy, water supply, and ecological benefits. The suitable and ideal ecological water requirements arecalculated based on the requirement level index. Afterward, the novel multi-objective shuffled frog leaping algorithm (NMOSFLA) includingrenewed frog grouping, local search, and external elite frog set mutation strategies is proposed. Results indicate that three optimizationobjectives expose a mutual competing relationship. The benefit of the river ecosystem will increase at a loss of PG and water supply guar-antee rate (WSGR). Therefore, the parallel reservoir system should be adjusted to improve the benefits of WSGR and ecological water spill andshortage (EWSS) with minimizing the loss of PG, simultaneously. Finally, the NMOSFLA is verified to outperform other compared methods atthe solution diversity and convergence which is evaluated by multiple indicators. Overall, the NMOSFLA provides efficient reservoir operationschemes for decision-makers to select optimal trade-off schemes and feasible ways to solve the LTMOSCPRS.

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来源
《Journal of hydroinformatics》 |2022年第6期|1091-1110|共20页
作者
Zhe Yang; Yufeng Wang; Kan YangHu HuSongbai SongShiqin XuXuguang ZhangSumeng YeJiaxin Li;
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作者单位

College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yan;

College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China;

School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, ChinaKey Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province 730070, ChinaCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China;

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收录信息美国《科学引文索引》(SCI);
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正文语种英语
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Key words: ecological water requirement; long-term multi-objective scheduling; parallel reservoir system; shuffled frog leaping algorithm; water supply;

The energy, water supply, and ecology coordination for middle-long-term reservoirsscheduling with different connection modes using an elite mutation strategy-basedNMOSFLA

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