Optimization of Dez dam reservoir operation using genetic algorithm
الموضوعات :عمادالدین شیرالی 1 , علیرضا نیکبخت شهبازی 2 , نرگس ظهرابی 3
1 - گروه سازه های آبی، پردیس علوم و تحقیقات خوزستان، دانشگاه آزاد اسلامی اهواز
2 - گروه مهندسی منابع آب، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران.
3 - دانشگاه آزاد اسلامی واحد اهواز
الکلمات المفتاحية: Optimization, بهینه‌سازی, منحنی فرمان, روش الگوریتم GA و مخزن سد دز, rule curve, Genetic Algorithm method, Dez dam reservoir,
ملخص المقالة :
Water reservoir programming studies aim to determine the final cultivated land area based on predefined agricultural models and water requirements. Dam utilization rule curve is also provided in such studies. The system of Dez dam water resources was simulated applying the basic information in order to determine the capability of its reservoir to provide the objectives of the performed plan. As a meta-exploratory method, genetic algorithm was applied in order to provide utilization rule curves (intersecting the reservoir volume). The significance of using rule curves and the decrease in decision making variables in the system was determined through system simulation and comparing the results with optimization results (Standard Operating Procedure). One of the most essential issues in optimization of a complicated water resource system is the increasing number of variables. Water reservoir programming studies has been performed based on basic information, general hypotheses and standards and applying monthly simulation technique for a statistical period of 30 years. Results indicated that application of rule curve prevents the extreme shortages and decrease the monthly shortages.
Bayazit, M., and Unal, N. E. (1990). Effects of hedging on reservoir performance. Water Resource Research, 26(4)و , pp: 713–719.
Bysani, M., and Uppalapati G. D., and Avirineni R., and Sundhar K. (2013). Study of optimizing techniques of reservoir operation International Journal of Engineering Research and General Science Volume 1, Issue 1 ,August 2013.
Labadie, J. W. (2004). Optimal operation of multi-reservoir systems: State-of-the-art review. Water Resource Planning and Management, ASCE, 130(2), pp: 93–111.
Lund, J. R., and Reed, R. U. (1995). Drought water rationing and transferable rations. Water Resource Planning and Management, ASCE, 121(6) pp: 429–437.
Neelakantan, T. R., and Pundarikanthan, N. V. (2000). Neural networkbasedsimulation -optimization model for reservoir operation, Water Resource Planning and Management, ASCE, 126(2), pp: 57–64.
Oliveira, R., and D. P. Loucks,(1997). Operating rules for multireservoir systems, J. Water resources Research, 33(4), pp: 839-852.
Shih, J. S., and ReVelle, C. (1994). Water-supply operations duringdrought: Continuous hedging rule. Water Resource Planning and Management, ASCE, 120(5), pp: 613–629.
Shih, J. S., and ReVelle, C. (1995). Water supply operations during drought: A discrete hedging rule. Operational Research, 82, pp: 163–175.
Srinivasan, K., and Philipose, M. C. (1998). Effect of hedging on over year reservoir performance. Water Resource Management, 12(2), pp: 95–120.
Tu, M.Y., Hsu, N. S., Tsai, F. T. C., and Yeh, W.W.G. (2008). Optimization of Hedging Rules for Reservoir Operations. Water Resource Planning and Management, ASCE, 134(1), pp: 3–13.
Tu, M.Y., Hsu, N. S., and Yeh, W. W. G. (2003). Optimization of reservoir management and operation with hedging rules. Water Resource Planning and Management, ASCE, 129(2), pp: 86–97.
