Research on the Hydropower Generation Optimal Scheduling of Larger-Scale Cascade Hydropower Stations on Jinsha River and Lancang River

2021 ◽  
Vol 1993 (1) ◽  
pp. 012007
Author(s):  
Dajun Si ◽  
Yuan Wang ◽  
Shuhao Liang ◽  
Yaowu Wu ◽  
Wangxi Zhang ◽  
...  
2015 ◽  
Vol 90 ◽  
pp. 476-487 ◽  
Author(s):  
Chao Wang ◽  
Jianzhong Zhou ◽  
Peng Lu ◽  
Liu Yuan

2014 ◽  
Vol 919-921 ◽  
pp. 1230-1233
Author(s):  
Zhong Hao Zhu ◽  
Hong Min Gao

On the basis of the analysis of the basic information of the river basin reservoirs and application of chaotic ant colony algorithm, the medium-and long-term optimization operation model is established, which regards the maximum annual generation capacity of the cascade hydropower stations as the main purpose. The simulation result shows the algorithm improves the total annual power generation of the cascade reservoirs, and finally provides an effective solution to solve the cascade reservoirs optimization operation problem.


2011 ◽  
Vol 347-353 ◽  
pp. 1820-1827
Author(s):  
Jun Rui ◽  
Jing Xue ◽  
Liang Ming

A new kind of intelligence optimization algorithm - Bees Algorithm (BA) is introduced, which is developed in recent years and is easy to realize, extremely quickly to convergence. Using the algorithm, the article solves optimal regulation of hydropower stations with time-varying price. Actual example proves the validity and fast astringency of BA. Thus, an additional method is proposed for solving optimal regulation of cascade hydropower stations.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yue Zhao ◽  
Qingyang Sun ◽  
Shusheng Zhu ◽  
Fei Du ◽  
Ruzhi Mao ◽  
...  

AbstractShangri-La is a wine region that has the highest altitude vineyards in China. This is the first study investigated the biodiversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines produced from two sub-regions (Lancang River and Jinsha River) of Shangri-La. The culturable yeasts were preliminarily classified based on their colonial morphology on the Wallerstein Laboratory nutrient agar plates. Yeast species were identified by the sequencing of the 26S rRNA D1/D2 region and the 5.8S rRNA ITS region. Twenty-five non-Saccharomyces yeast species belonging to sixteen genera were isolated and identified in Shangri-La wine region. Candida, Hanseniaspora, Pichia, and Starmerella were found in both sub-regions, but the Lancang River showed more diverse yeast species than the Jinsha River. Shangri-La not only exhibited high diversity of non-Saccharomyces yeasts, and furthermore, seven species of non-Saccharomyces yeasts were exclusively found in this region, including B. bruxellensis, D. hansenii, M. guilliermondii, S. vini, S. diversa, T. delbrueckii and W. anomalus, which might play an important role in distinctive regional wine characteristics. This study provide a relatively comprehensive analysis of indigenous non-Saccharomyces yeasts associated with Cabernet Sauvignon from Shangri-La, and has significance for exploring ‘microbial terroir’ of wine regions in China.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 226754-226772
Author(s):  
Trong-The Nguyen ◽  
Hong-Jiang Wang ◽  
Thi-Kien Dao ◽  
Jeng-Shyang Pan ◽  
Jian-Hua Liu ◽  
...  

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