Constrained genetic algorithms for optimizing multi-use reservoir operation
學年 99
學期 1
出版（發表）日期 2010-08-01
作品名稱 Constrained genetic algorithms for optimizing multi-use reservoir operation
作品名稱（其他語言）
著者 Chang, Li-Chiu, Chang, Fi-John; Wang, Kuo-Wei; Dai, Shin-Yi
單位 淡江大學水資源及環境工程學系
出版者 Amsterdam: Elsevier BV
著錄名稱、卷期、頁數 Journal of Hydrology 390(1-2), pp.66-74
摘要 To derive an optimal strategy for reservoir operations to assist the decision-making process, we propose a methodology that incorporates the constrained genetic algorithm (CGA) where the ecological base flow requirements are considered as constraints to water release of reservoir operation when optimizing the 10-day reservoir storage. Furthermore, a number of penalty functions designed for different types of constraints are integrated into reservoir operational objectives to form the fitness function. To validate the applicability of this proposed methodology for reservoir operations, the Shih-Men Reservoir and its downstream water demands are used as a case study. By implementing the proposed CGA in optimizing the operational performance of the Shih-Men Reservoir for the last 20 years, we find this method provides much better performance in terms of a small generalized shortage index (GSI) for human water demands and greater ecological base flows for most of the years than historical operations do. We demonstrate the CGA approach can significantly improve the efficiency and effectiveness of water supply capability to both human and ecological base flow requirements and thus optimize reservoir operations for multiple water users. The CGA can be a powerful tool in searching for the optimal strategy for multi-use reservoir operations in water resources management.
關鍵字 Reservoir operation;Constrained genetic algorithms (CGA);Penalty strategy;Ecological base flow
語言 en
ISSN 0022-1694
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Chang, Fi-John
審稿制度
國別 NLD
公開徵稿
出版型式 紙本
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