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Darbandikhan reservoir operation optimization using ant colony optimization algorithm
المؤلفون المشاركون
Muhammad, Kanar Shukr
Daham, Bnar Faysal A.
Muhammad, Muhammad Nasih
المصدر
ZANCO Journal of Pure and Applied Sciences
العدد
المجلد 30، العدد 1 (sup) (28 فبراير/شباط 2018)، ص ص. 135-141، 7ص.
الناشر
جامعة صلاح الدين قسم النشر العلمي
تاريخ النشر
2018-02-28
دولة النشر
العراق
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The importance of water resources management has unlimited scope, and from that importance comes the need for optimizing the operation of water reservoirs in terms of achieving hydropower generation demands, irrigation demands, and avoiding flood risks.
there were many optimization techniques or methods have been conducted for that purpose.
in this paper we try to bring the operation of darbandikhan reservoir (located 60 km southeast of sulaimaniya city) to an optimum level using ant colony optimization (ACO) technique.
thus, the objective is to find a monthly water release plan with least difference from the amount of water demand for that month.
this study covers the operation of the reservoir for one year, sampled into 12 monthly periods.
two methods for pheromone trail update - iteration best path (IBP) and iteration all path (IAP) - have been used and tested in the ACO algorithm to find out how fit they are with the reservoir operation problem.
also two levels of reservoir storage discretization have been applied to the problem; 100 and 200 intervals.
generally, the ACO algorithm showed a high performance in exploring the optimum solutions for the operation of darbandikhan reservoir.
the obtained results of the tests revealed that the IAP outperforms the IBP in finding the optimum solutions.
while the tests of the two discretization resolutions showed that the 100 intervals is more efficient than the 200 intervals in getting better results with a certain number of iterations and artificial ants.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Muhammad, Muhammad Nasih& Daham, Bnar Faysal A.& Muhammad, Kanar Shukr. 2018. Darbandikhan reservoir operation optimization using ant colony optimization algorithm. ZANCO Journal of Pure and Applied Sciences،Vol. 30, no. 1 (sup), pp.135-141.
https://search.emarefa.net/detail/BIM-1403028
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Muhammad, Muhammad Nasih…[et al.]. Darbandikhan reservoir operation optimization using ant colony optimization algorithm. ZANCO Journal of Pure and Applied Sciences Vol. 30, no. 1 (Supplement) (2018), pp.135-141.
https://search.emarefa.net/detail/BIM-1403028
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Muhammad, Muhammad Nasih& Daham, Bnar Faysal A.& Muhammad, Kanar Shukr. Darbandikhan reservoir operation optimization using ant colony optimization algorithm. ZANCO Journal of Pure and Applied Sciences. 2018. Vol. 30, no. 1 (sup), pp.135-141.
https://search.emarefa.net/detail/BIM-1403028
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 141
رقم السجل
BIM-1403028
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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