بهره‌برداری بهینه از سامانه های منابع آب با استفاده از الگوریتم چند هدفه MOPSO

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد مهندسی منابع آب دانشگاه شهید چمران اهواز

2 استاد گروه هیدرولوژی و منابع آب دانشگاه شهید چمران اهواز

3 استادیار گروه مهندسی آب دانشگاه رازی

چکیده

در این پژوهش با استفاده از یک ساختار چندهدفه و بهره­گیری از فرمول‌بندی‌های جدید روشی ارائه شده است که در آن بجای افزایش اطمینان‌پذیری بر اساس تأمین نیاز 100 درصد در برخی ماه‌ها بدون توجه به ماه‌های خشک، مقداری از آب ماه‌ها یا فصول پرآب در مخزن ذخیره شده تا با استفاده در ماه‌های کم آب شدت شکست تعدیل گردد. برای این منظور الگوریتم بهینه‌سازی چند­هدفه ازدحام ذرات (MOPSO) به مدل شبیه‌ساز  WEAPمتصل گردید. هدف اصلی در چنین ساختاری ارائه راه‌حلی بود که در آن با توجه به ظرفیت بهره‌برداری از مخزن، علاوه بر رسیدن به اطمینان‌پذیری تأمین نیاز قابل قبول در کل دوره، درصد تأمین نیاز در ماه‌های خشک نیز افزایش یابد. در نهایت نتایج در سه سناریوی وضع موجود، توسعه اراضی و سناریوی بهینه­سازی سامانه مورد ارزیابی قرار گرفت. مطابق با نتایج، در سناریوی وضع موجود در کل دوره بجز در چندین ماه وضعیت مطلوب گزارش شد. در سناریوی توسعه اراضی در بسیاری از سال‌های خشک و در تمامی شش سال آخر برنامه­ریزی در بیش‌تر مصارف، درصد تأمین نیاز در سه تا هشت ماه خشک متوالی برابر صفر و در بقیه سال‌های کم آب، در این ماه‌ها کمتر از پنج درصد بود. اما با اجرای مدل بهینه­ساز درصد تأمین نیاز در این ماه‌ها به مقدار 28 تا 60 درصد رسید. همچنین در سناریوی بهینه­سازی سامانه، اطمینان‌پذیری تأمین نیاز برقابی سد مارون و زیست­محیطی پایین دست بهبود یافت. این پژوهش نشان داد استفاده از راهکار این تحقیق منجر به مدیریت بهتر مخزن و کاهش شدت شکست در تأمین مصارف مختلف در ماه‌های کم آب خواهد شد.  

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Optimal Operation of Water Resources Systems by Using MOPSO Multi-Objective Algorithm

نویسندگان [English]

  • milad asadi 1
  • Alimohamad Akhondali 2
  • Arash Azari 3
1
2 University of Ahvaz
3 Razi University of Kermanshah
چکیده [English]

In this study, a method is proposed by using a multi-objective structure and employing new formulations, in which 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 seasons is stored in reservoirs so that it can be used in dry months in order to amend 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 reaching to an acceptable demand meeting reliability over the entire period considering 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 of 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 and 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.

کلیدواژه‌ها [English]

  • reliability
  • Optimal Operation
  • Failure Intensity
  • MOPSO
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