https://scholars.lib.ntu.edu.tw/handle/123456789/303396
標題: | Application of the genetic algorithm for optimizing operation rules of the LiYuTan Reservoir in Taiwan | 作者: | CHING-PIN TUNG SHAO-YIU HSU Liu, Chia-Ming Li, Jr-Shin |
公開日期: | 2003 | 卷: | 39 | 期: | 3 | 起(迄)頁: | 649-657 | 來源出版物: | Journal of the American Water Resources Association | 摘要: | A procedure to apply genetic algorithm to optimize operation rules is proposed and applied to the LiYuTan Reservoir in Taiwan. The designed operation rules are operation zones with discount rates of water supply. The first step of the procedure is to predefine the shape of boundary curves of operation zones according to reservoir storage routing. Then, relatively fewer variables are used to describe the curves, and a last genetic algorithm (GA) is applied to optimize the curves. The procedure is applied to the newly built LiYuTan Reservoir for increasing domestic water demands. Shortage index is used to evaluate the performance of operation zones. A year is divided into 36 operational periods, with each month containing three operational periods. The shortage indexes calculated in operational periods are 9.81, 8.27, and 7.13, respectively, for the reservoir without operation rules, applying operation zones optimized by GA with encoding 36 storage levels for each curve, and adopting operation zones optimized by GA with encoding the curves with predefined shape. The average deficits for the three cases are 77.2, 43.6, and 33.3 (104 m3/day), respectively. The results indicate that operation zones optimized by the proposed procedure have smaller shortage indexes and lower average deficits. In addition, the optimized operation zones have less variation and thus are more practical for operation. Conclusively, the proposed procedure utilizing GA to optimize operation zones with predefined shape can provide better and realistic outcomes through limited iterations. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-0042360550&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/303396 |
DOI: | 10.1111/j.1752-1688.2003.tb03682.x | SDG/關鍵字: | Genetic algorithms; Optimization; Reservoirs (water); Operation zones; Water resources; genetic algorithm; optimization; reservoir; systems analysis; water resource; Liyutan Reservoir; Taiwan |
顯示於: | 生物環境系統工程學系 |
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