The optimal operation of Haditha reservoir by discrete differential dynamic programming (DDDP)‎

المؤلف

al-Mansuri, Nisrin Jasim Husayn

المصدر

Journal of University of Babylon for Engineering Sciences

العدد

المجلد 25، العدد 4 (31 أغسطس/آب 2017)، ص ص. 1206-1211، 6ص.

الناشر

جامعة بابل

تاريخ النشر

2017-08-31

دولة النشر

العراق

عدد الصفحات

6

التخصصات الرئيسية

علوم الأرض و المياه و البيئة

الملخص EN

The aim of the present research is to find the best optimal policy for monthly operation of Haditha Reservoir for 24 years ( from 1990 to 2014 ) in order to minimize the total penalties taken place due to both releases and storage when exceeded the limited allowable values by using Discrete Differential Dynamic Programming (DDDP).

The results of this study used to find a suitable probability distribution of the values of storage.

The log normal distribution for three parameters was found to be the best distribution for determination the operation curves values

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Mansuri, Nisrin Jasim Husayn. 2017. The optimal operation of Haditha reservoir by discrete differential dynamic programming (DDDP). Journal of University of Babylon for Engineering Sciences،Vol. 25, no. 4, pp.1206-1211.
https://search.emarefa.net/detail/BIM-923476

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Mansuri, Nisrin Jasim Husayn. The optimal operation of Haditha reservoir by discrete differential dynamic programming (DDDP). Journal of University of Babylon for Engineering Sciences Vol. 25, no. 4 (2017), pp.1206-1211.
https://search.emarefa.net/detail/BIM-923476

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Mansuri, Nisrin Jasim Husayn. The optimal operation of Haditha reservoir by discrete differential dynamic programming (DDDP). Journal of University of Babylon for Engineering Sciences. 2017. Vol. 25, no. 4, pp.1206-1211.
https://search.emarefa.net/detail/BIM-923476

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 1211

رقم السجل

BIM-923476