Brief paper: Application of dynamic programming to control khuzestan water resources system

摘要: An approximate optimization technique based on discrete dynamic programming called differential (DDDP), is employed to obtain the near optimal operation policies of a water resources system in Khuzestan Province Iran. The makes use an initial nominal state trajectory for each variable, and forms corridors around trajectories. These represent set subdomains entire feasible domain. Starting with such trajectories, improvements objective function are sought within formed them. This leads new trajectories upon which more may be sought. Since confined subdomains, considerable savings memory computer time achieved over that conventional programming. Kuzestan considered this study located southwest Iran, consists two rivers, three reservoirs, hydropower plants, irrigable areas. Data cost benefit functions analysis were obtained either from historical records or similar studies.