Exploring Optimal Hedging Rules of The Nanhua Reservoir Using Multi-Objective Genetic Algorithm

• Main Authors: Jing-Yu Huang, 黃景裕
• Other Authors: Li-Chiu Chang
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/18842471669262661564

碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 96 === This study aims to exploring optimal hedging rules using multi-objective genetic algorithm for the Nanhua Reservoir during droughts. Hedging parameters are added in the SOP-based rules to construct water-rationing measures. One-, two-, and three-parameter hedging rules associated with constant and time-varying hedging parameters are employed to investigate effects on water-shortage characteristics. Time-varying frequencies considered in this study include semi-annually, quarterly, and monthly varying. Two conflicting shortage indices, total shortage ratio and maximum 10-day shortage ratio, are used to evaluate operation performance of a water-supply reservoir. The Pareto optimal solutions of this multi-objective optimization are searched by the non-dominated shorting genetic algorithm II (NSGA-II). The proposed methodology is applied to the Nanhua Reservoir that is located in southern Taiwan. The results show that increasing time-varying frequency of hedging parameters can effectively reduce water-shortage characteristic, which are further improved by increasing numbers of hedging parameters. Thus, the three-parameter monthly varying hedging rule performs best among twelve hedging rules evaluated in this study.