https://scholars.lib.ntu.edu.tw/handle/123456789/85697
標題: | Intelligent control for modelling of real-time reservoir operation | 作者: | Chang, Li-Chiu Chang, Fi-John |
關鍵字: | reservoir operation modelling;intelligent control;genetic algorithms;ANFIS | 公開日期: | 六月-2001 | 卷: | 15 | 期: | 9 | 起(迄)頁: | 1621-1634 | 來源出版物: | Hydrological Processes | 摘要: | This paper presents a new approach to improving real-time reservoir operation. The approach combines two major procedures: the genetic algorithm (GA) and the adaptive network-based fuzzy inference system (ANFIS). The GA is used to search the optimal reservoir operating histogram based on a given inflow series, which can be recognized as the base of input–output training patterns in the next step. The ANFIS is then built to create the fuzzy inference system, to construct the suitable structure and parameters, and to estimate the optimal water release according to the reservoir depth and inflow situation. The practicability and effectiveness of the approach proposed is tested on the operation of the Shihmen reservoir in Taiwan. The current M-5 operating rule curves of the Shihmen reservoir are also evaluated. The simulation results demonstrate that this new approach, in comparison with the M-5 rule curves, has superior performance with regard to the prediction of total water deficit and generalized shortage index (GSI). |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/139146 https://www2.scopus.com/inward/record.uri?eid=2-s2.0-0035973156&doi=10.1002%2fhyp.226&partnerID=40&md5=4d9a07a5cfa8c88316a21448e4ce902c |
ISSN: | 0885-6087 | DOI: | 10.1002/hyp.226 |
顯示於: | 生物環境系統工程學系 |
檔案 | 描述 | 大小 | 格式 | |
---|---|---|---|---|
Intelligent control formodeling of real timereservoir operation.pdf | 190.56 kB | Adobe PDF | 檢視/開啟 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。