Improved multiple-objective dynamic programming model for reservoir operation optimization

aras dam reservoir operation model by using of dynamic programming

this article aims at designing the mathematical model for aras dam reservoir in time operation with missions of agriculture needs safeguarding, water electric energy production and torrent controls. reservoir system relations determinate and these relations at framework of are determined and stochastic dynamic programming are calculated executive results of this model are presentation of guides...

An Aggregate Stochastic Dynamic Programming Model of Multiple Reservoir Systems an Aggregate Stochastic Dynamic Programming Model of Multiple Reservoir Systems

Improved Ant Colony Optimization Algorithm for Reservoir Operation

In this paper, an improved Ant Colony Optimization (ACO) algorithm is proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be e ectively achieved. To apply the proposed ACO algorithm, the problem is approached by considering a nite horizon with a time series of in ow, classifying the reservoir volume t...

Use of parallel deterministic dynamic programming and hierarchical adaptive genetic algorithm for reservoir operation optimization

Reservoi r operation optimization (ROO) is a complicated dynamical ly constrained nonlinear problem that is important in the context of reservoir system operation. In this study, parallel deterministic dynamic programming (PDDP) and a hierarchic al adaptive genetic algorithm (HAGA) are proposed to solve the problem, which involves many conflicting objectives and constraints. In the PDDP method,...

Fuzzy Dynamic Programming Model for Optimal Operation of a Multipurpose Reservoir

Optimal operation of reservoir has been an active area of research for many years. Various techniques have been developed and adopted for reservoir operation incorporating the uncertainty due to stochastic nature of inflows and demands. However there is not much literature reported on models incorporating uncertainty caused due to imprecise goals and objectives. In the present paper a fuzzy opt...