Multi-objective evolutionary algorithm for operating parallel reservoir system

doi:10.1016/j.jhydrol.2009.07.061

淡江大學機構典藏 > 工學院 > 水資源及環境工程學系暨研究所 > 期刊論文 > Item 987654321/67860

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題名:	Multi-objective evolutionary algorithm for operating parallel reservoir system
作者:	Chang, Li-Chiu;Chang, Fi-John
貢獻者:	淡江大學水資源及環境工程學系
關鍵詞:	Optimization;Simulation model;Reservoir system;Multi-objective evolutionary algorithm
日期:	2009-10
上傳時間:	2011-10-23 02:08:43 (UTC+8)
出版者:	Amsterdam: Elsevier BV
摘要:	This paper applies a multi-objective evolutionary algorithm, the non-dominated sorting genetic algorithm (NSGA-II), to examine the operations of a multi-reservoir system in Taiwan. The Feitsui and Shihmen reservoirs are the most important water supply reservoirs in Northern Taiwan supplying the domestic and industrial water supply needs for over 7 million residents. A daily operational simulation model is developed to guide the releases of the reservoir system and then to calculate the shortage indices (SI) of both reservoirs over a long-term simulation period. The NSGA-II is used to minimize the SI values through identification of optimal joint operating strategies. Based on a 49 year data set, we demonstrate that better operational strategies would reduce shortage indices for both reservoirs. The results indicate that the NSGA-II provides a promising approach. The pareto-front optimal solutions identified operational compromises for the two reservoirs that would be expected to improve joint operations.
關聯:	Journal of Hydrology 377(1–2), pp.12–20
DOI:	10.1016/j.jhydrol.2009.07.061
顯示於類別:	[水資源及環境工程學系暨研究所] 期刊論文

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