Multi-reservoir real-time operation rules: a new genetic programming approach

被引:71
作者
Akbari-Alashti, Habib [1 ]
Bozorg-Haddad, Omid [1 ]
Fallah-Mehdipour, Elahe [1 ]
Marino, Miguel A. [2 ,3 ,4 ]
机构
[1] Univ Tehran, Coll Agr & Nat Resources, Fac Agr Engn & Technol, Dept Irrigat & Reclamat Engn, Tehran, Iran
[2] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
[3] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[4] Univ Calif Davis, Dept Biol & Agr Engn, Davis, CA 95616 USA
关键词
hydrology & water resources; management; mathematical modelling; NEURAL-NETWORK; HBMO ALGORITHM; MANAGEMENT; MODEL; OPTIMIZATION; SYSTEM;
D O I
10.1680/wama.13.00021
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper employs non-linear programming, genetic algorithms and fixed-length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1 and Karoon3) in which dependent and independent approaches are used to forecast the hydroelectric energy generated by the system. A total deficiency function as well as efficiency criteria are used to investigate the results obtained. The latter indicate that the more flexible FLGGP gives the most efficient function for the extraction of reservoir operation rules in both dependent and independent approaches. By comparing the two approaches, no significant difference was observed. Consequently, due to the simplicity of the application of the forecast-independent approach, it is suggested for application in the extraction of reservoir operation decision rules. Moreover, the advantages of a three-reservoir system operation over a single-reservoir system operation reflect the efficiency of the integrated management of water resource systems.
引用
收藏
页码:561 / 576
页数:16
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