Optimization Techniques and Algorithm Applied in the Field of Reservoir Operation– A Review

Abstract

Larger water reservoirs are used for frequent purposes, such as for irrigation, flood-control, water navigation and other flow parameter aims. Reservoirs may include natural water bodies such as rivers, lakes or man-made structures such as dams and weirs. Reservoir operation is often completed for contrary purposes. Due to large quantity of variables involved, the solution of the problem becomes difficult. The system dynamics is non-linear, the stochastic behaviour of forthcoming inflows, and further uncertainties involved in the system makes the operational policy complex. Supervision a reservoir operation system is problematic due to curse of dimensionalities, nonlinearities and conflicts between different purposes. The optimal operation of a reservoir system operation naturally involves optimization and recreation models which can transport the numerical information to upgrade operative water supervision. Different types of techniques are being used for reservoir operation, such as mixed integer linear programming dynamic programming, genetic algorithms, ant-colony optimization, fuzzy rule-based systems and other evolutionary algorithms. The present paper is a review of application of various optimization techniques applied to operate reservoir systems. Various algorithms have been applied to maximize the net benefit and optimize the Reservoir operation, but they have some limitations, the selection of appropriate model for deriving reservoir operating policies is difficult and more often there is a scope for further improvement as the choosing a particular model for reservoir operation depends upon the reservoir characteristics considered, availability of data, on the specified constraints and objectives. In the present paper, are attempt has been made to compare various optimizations Algorithm is compared with their Advantage and Limitation to find the best suited Algorithm for reservoir operation.