In this study a simulation-optimization model is developed for deriving operation rule-curves in drought ‎periods. To each reservoir, two rule-curves with adjustable monthly levels are introduced dividing the ‎reservoir capacity into three zones between the normal water level and minimum operation level. To each ‎zone of a reservoir and for each month of the year a hedging coefficient is introd...

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...

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...

Reservoir operation involves many critical decisions due to unpredicted circumstances, such as drought or flood. The reservoir water release decision is one of the challenging tasks for the reservoir operator since the decision to deal with many complicated decision variables and multipurpose operation. Typically, the water that flow into the reservoir comes from the upstream river network. The...

Optimal reservoir operation model is developed using Multi Objective Fuzzy Linear Programming (MOFLP) which is computationally simple and easy to implement to the real world situation of reservoir operation. Application of MOFLP is demonstrated through the case study, Hirakud reservoir in Orissa State, India. Problem is formulated with two objective functions viz. maximization of releases for i...

A user-friendly window based decision support model to support the reservoir operators for irrigation management is developed. Uncertainty is modeled by a data mining approach – Decision tree – in a multi stage environment, which includes different possible configurations of inflow in a wide time horizon. The aim is to identify different patterns and essential features on which to base a robust...

Synopsis Water quantity and quality are considered to be the main driving forces the reservoir operation. Barra Bonita reservoir, located in the southeast region of Brazil, is chosen as the case study for the application of the proposed methodology. Herein, optimization and artificial intelligence (AI) techniques are applied in the simulation and operation of the reservoir. A fuzzy stochastic d...

In this article, a fuzzy rule based model is developed for the operation of a single purpose reservoir. The model operates on an ‘if – then’ principle, where the ‘if’ is a vector of fuzzy premises and the ‘then’ is a vector of fuzzy consequences. The steps involved in the development of the model include, construction of membership functions for the inflow, storage, demand and the release, form...

This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm optimization EMPSO technique, to derive reservoir operation policies for multipurpose reservoir systems. Particle swarm optimizers are inherently distributed algorithms, in which the solution for a problem emerges from the interactions between many simple individuals called par...