رویکرد جیره؜بندی مخزن در بهره؜برداری بهینه از سیستم؜های منابع آب مخزن سد دویرج با استفاده از الگوریتم MOICA

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مهندسی آب، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران

2 گروه مهندسی آب، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران

3 گروه مهندسی آب، واحد کرمانشاه، دانشگاه ازاد اسلامی، کرمانشاه

4 دانشیار گروه مهندسی آب، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران

چکیده

در این تحقیق از ترکیب مدل شبیه؜سازی و بهینه؜سازی برای اعمال سیاست جیره؜بندی مخزن استفاده گردید. شبیه؜سازی حوضه مورد مطالعه با استفاده از مدل WEAP برای بهره؜برداری از مخزن سد دویرج واقع بر رودخانه دویرج انجام شد و برای انجام بهینه؜سازی سیستم، از مدل چند هدفهMOICA  استفاده شد. بطوریکه در آن، هدف اول، حداکثر نمودن درصد تأمین نیازها در مقابل هدف دوم یعنی حداقل نمودن میزان تخطی از ظرفیت؜های مجاز مخزن در طول دوره بهره؜برداری مد نظر قرار گرفت. در این راستا مدل؜سازی بهره؜برداری از مخزن با وضع موجود بهره؜برداری منطقه و برای یک بازه 720 ماهه (اکتبر1960 تا سپتامبر 2019) انجام شد. در نهایت با تعریف سناریوی بهینه و اعمال سیاست جیره؜بندی مخزن، بهینه؜سازی بهره؜برداری از سیستم انجام و نتایج با سناریوی مرجع مقایسه گردید. در این تحقیق با در نظر گرفتن 24 متغیر تصمیم شامل 12 متغیر تراز جیره؜بندی و 12 متغیر ضریب جیره؜بندی پس از 1000 تکرار جواب؜های بهینه حاصل گردید. نتایج نشان داد در سناریوی بهینه تخطی از ظرفیت؜های مجاز مخزن در هیچ دوره؜ای اتفاق نیفتاده اما برای سناریوی مرجع زمانی که کمبود آب بیشتری وجود داشت در ماه؜های متوالی تراز مخزن به تراز مرده رسید که باعث عدم تامین نیاز در این ماه؜ها و آسیب جدی به سیستم می؜گردد. با اعمال سیاست جیره؜بندی در سناریوی بهینه، درصد تأمین نیاز در ماه؜های بحرانی بین 20 تا 25 درصد نسبت به سناریوی مرجع افزایش می؜یابد که حاکی از کاهش قابل توجه شدت شکست در ماه؜های مذکور نسبت به سناریوی مرجع می؜باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Reservoir Hedging Approach in Optimal Operation of Water Resources Systems of Doiraj Dam Reservoir Using MOICA Algorithm

نویسندگان [English]

  • ehsan yarmohammadi 1
  • mohammad ali izadbakhsh 2
  • ahmad rajabi 2
  • fariborz yosefvand 3
  • saeid shabanlou 4
1 Ph.D. Candidate, Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
2 Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
3 water Dept., kermanshah branch, islamic azad university, kermanshah, iran
4 Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
چکیده [English]

In this research, the simulation and optimization models are integrated to apply the reservoir hedging policy. Simulation of the studied basin was executed using the WEAP model to operate the Doiraj Dam reservoir located on the Doiraj River. In addition, the multi-objective MOICA model was utilized to optimize the system, in which the first objective function (maximizing the percentage of supplying demands), and the second one (minimizing the violation of allowable capacities of the reservoir during the operation period) were considered. In this regard, the operation modeling from the reservoir was carried out based on the current condition for a 720-month period (October 1960 to September 2019). Finally, by defining the optimization scenario and applying the reservoir hedging policy, the operation optimization of the reservoir was done and the results were compared with the reference scenario results. In this study, by considering 24 decision variables including 12 hedging level variables and 12 hedging coefficient variables, the optimal answers were achieved after 1000 iterations. The results showed that the violation of the allowable capacities did not occurred in any periods of the optimization scenario, while in the reference scenario the reservoir level reached the dead level in sequent months with more water shortage which might lead to the lack of water supply in such months and serious damages to the system. Due to the application of hedging policy in the optimization scenario, the percentage of supplying the demands in the critical months is increased between 20 to 35% as compared to the reference scenario, which indicates a significant reduction in the failure rate in such months.

کلیدواژه‌ها [English]

  • Multiobjective Optimization
  • Imperialist competitive algorithm
  • Hedging Policy
  • simulation
  • WEAP
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