MULTI-RESERVOIR SYSTEMS OPERATING RULE CURVE OPTIMIZATION USING A LINEAR PROGRAMMING-GENETIC ALGORITHM HYBRID MODEL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TAGHIAN M.; RADMANESH F.; AKHONDALI A.; HAGHIGHI A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN WATER RESEARCH JOURNAL Year:2012 | Volume:5 | Issue:9 Page(s): 83-90

Download Full-Text

Persian Verion

View:

1,518

Download:

Cites:

Information Journal Paper

Title

MULTI-RESERVOIR SYSTEMS OPERATING RULE CURVE OPTIMIZATION USING A LINEAR PROGRAMMING-GENETIC ALGORITHM HYBRID MODEL

Author(s)

TAGHIAN M. | RADMANESH F. | AKHONDALI A. | HAGHIGHI A. | Issue Writer Certificate

Keywords

HYBRID MODELSQ2

LINEAR PROGRAMMINGQ2

GENETIC ALGORITHMQ1

MULTI-RESERVOIR SYSTEMQ2

RULE CURVEQ2

Abstract

Operators usually follow the RULE CURVEs for operation of a reservoirs system in actual conditions. RULE CURVE indicates desired release or target storage volume for a reservoir in the specified period of year. In the present study, combination of a simple GENETIC ALGORITHM with the simulation model (ARSP) was used for multiple reservoir systems to find optimum RULE CURVEs. In this hybrid model, a LINEAR PROGRAMMING was used for water allocation per single period. In addition, the GENETIC ALGORITHM through a nonlinear programming was utilized for searching the RULE CURVEs. Capability of the developed model was evaluated by defining and analyzing of the three dam water resources systems in Zohre River. Calculations showed that the above combination improved the limitation modeling greatly, increased optimization convergence rate and made considerable flexibility for total process of planning and management in complex systems.

Cites

No record.

References

No record.

Cite

APA: Copy

TAGHIAN, M., RADMANESH, F., AKHONDALI, A., & HAGHIGHI, A.. (2012). MULTI-RESERVOIR SYSTEMS OPERATING RULE CURVE OPTIMIZATION USING A LINEAR PROGRAMMING-GENETIC ALGORITHM HYBRID MODEL. IRANIAN WATER RESEARCH JOURNAL, 5(9), 83-90. SID. https://sid.ir/paper/159755/en

Vancouver: Copy

TAGHIAN M., RADMANESH F., AKHONDALI A., HAGHIGHI A.. MULTI-RESERVOIR SYSTEMS OPERATING RULE CURVE OPTIMIZATION USING A LINEAR PROGRAMMING-GENETIC ALGORITHM HYBRID MODEL. IRANIAN WATER RESEARCH JOURNAL[Internet]. 2012;5(9):83-90. Available from: https://sid.ir/paper/159755/en

IEEE: Copy

M. TAGHIAN, F. RADMANESH, A. AKHONDALI, and A. HAGHIGHI, “MULTI-RESERVOIR SYSTEMS OPERATING RULE CURVE OPTIMIZATION USING A LINEAR PROGRAMMING-GENETIC ALGORITHM HYBRID MODEL,” IRANIAN WATER RESEARCH JOURNAL, vol. 5, no. 9, pp. 83–90, 2012, [Online]. Available: https://sid.ir/paper/159755/en

Related Journal Papers