Optimal Operation of Water Resources Systems through Use of MOPSO Multi-Objective Algorithm

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.

ASADI MILAD; AKHOND ALI ALI MOHAMAD; AZARI ARASH

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2017 | Volume:48 | Issue:4 Page(s): 701-714

Download Full-Text

Persian Verion

View:

597

Download:

Cites:

Information Journal Paper

Title

Optimal Operation of Water Resources Systems through Use of MOPSO Multi-Objective Algorithm

Author(s)

ASADI MILAD | AKHOND ALI ALI MOHAMAD | AZARI ARASH | Issue Writer Certificate

Keywords

ReliabilityQ1

Optimal OperationQ1

Failure IntensityQ1

MOPSOQ1

Abstract

Throughout the study, a method is proposed by making use of a multi-objective structure and employing new formulations, where instead of increasing Reliability based on meeting a demand of 100 percent in some months regardless of the dry months, part of the water of wet months or wet seasons be stored in reservoirs to be used in dry months to compensate for Failure Intensity. To this end, Multi-Objective Particle Swarm Optimization (MOPSO) algorithm was connected to the WEAP simulation model. The main purpose of this type of structures is to offer a resolution to increase the percentage of demand coverage in dry months in addition to reach an acceptable demand meeting Reliability over the entire period depending upon the operation capacity of the reservoir. Ultimately, the results of three scenarios, including a current situation, land development management scenario and an optimization one, were evaluated. According to the results of the current situation scenario, in all the operation period the situation was reported acceptable, except for a few months. In land development scenario, for most consumptions in most of the dry years and in the last six years of planning, the demand coverage was equal to zero in three to eight consecutive dry months, and it was lower than 5% in these months in the rest of the low-water years. On the other hand, the demand coverage increased from 28% to 60% in these months by implementing the optimization model. Also, in the optimal scenario of Reliability, supplying downstream environmental demand as well as the Maroon hydroelectric dam need was improved. This study depicts that using the strategies of this research will lead to a better reservoir management and will reduce Failure Intensity in supplying different consumptions during low-water months.

Cites

No record.

References

No record.

Cite

APA: Copy

ASADI, MILAD, AKHOND ALI, ALI MOHAMAD, & AZARI, ARASH. (2017). Optimal Operation of Water Resources Systems through Use of MOPSO Multi-Objective Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 48(4 ), 701-714. SID. https://sid.ir/paper/225716/en

Vancouver: Copy

ASADI MILAD, AKHOND ALI ALI MOHAMAD, AZARI ARASH. Optimal Operation of Water Resources Systems through Use of MOPSO Multi-Objective Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2017;48(4 ):701-714. Available from: https://sid.ir/paper/225716/en

IEEE: Copy

MILAD ASADI, ALI MOHAMAD AKHOND ALI, and ARASH AZARI, “Optimal Operation of Water Resources Systems through Use of MOPSO Multi-Objective Algorithm,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 48, no. 4 , pp. 701–714, 2017, [Online]. Available: https://sid.ir/paper/225716/en

Related Journal Papers