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  4. Optimal dispatching scheme of multi-objective cascade reservoirs by parallel mechanism-optimization algorithms
 
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Optimal dispatching scheme of multi-objective cascade reservoirs by parallel mechanism-optimization algorithms

Journal
Journal of Hydrology
Journal Volume
612
Date Issued
2022-09-01
Author(s)
Bai, Tao
Li, Lei
Yang, Wang wang
FI-JOHN CHANG  
Huang, Qiang
DOI
10.1016/j.jhydrol.2022.128050
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133759117&doi=10.1016%2fj.jhydrol.2022.128050&partnerID=40&md5=e1a4b14932fe12d981e94b3d02cad2a0
https://scholars.lib.ntu.edu.tw/handle/123456789/631064
URL
https://api.elsevier.com/content/abstract/scopus_id/85133759117
Abstract
In recent years, the water conflict between competing users in the middle and lower reaches of the Heihe River has intensified, causing severe social, economic, and ecological problems. This research aims to alleviate water conflicts between multiple objectives that consider eight cascade reservoirs in the upper reaches of the Heihe River Basin to be the regulatory bodies using the optimal operation model and fuzzy optimization evaluation model. The innovative approach combining the parallel mechanism with optimization algorithms (i.e., Flower Pollination Algorithm and Non-dominated Neighbor Immune Algorithm) is proposed to solve the optimal operation models, analyze the time distribution laws of water supply dilemma and the transformation rules among three objectives (power generation, irrigation, and ecology). Based on the evaluation indicator system and subjective and objective comprehensive weighting methods (i.e., Analytic Hierarchy Process and Entropy Weight Method), a fuzzy optimization evaluation model is applied to search for the optimal dispatching scheme for the multi-objective joint operation of cascade reservoirs. Results indicate several findings. First, the Parallel - Flower Pollination Algorithm produces high precision and stability with outstanding calculation efficiency. Second, the period of the water supply dilemma is October and next April, and the annual water supply dilemma is affected by the frequency of incoming water. Third, the competitive relationship between irrigation and ecology is the strongest, followed by the relationship between ecology and power generation, the relationship between ecology and power generation is relatively weak. Fourth, the optimal dispatching scheme in each typical year is the scheme with the ratio values of the transformation coefficients among power generation, irrigation, and ecological objectives the closest to 1:1:1, respectively. It is conducive to scientifically guiding the dispatch of water resources in the Heihe River Basin, alleviating water conflicts, and ensuring socio-economic development and ecological safety.
Subjects
Fuzzy optimization; Heihe River Basin; Optimal dispatching scheme; Reservoir operation; Transformation rules; Water supply dilemma
SDGs

[SDGs]SDG6

[SDGs]SDG7

[SDGs]SDG8

[SDGs]SDG11

[SDGs]SDG13

Publisher
ELSEVIER
Type
journal article

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