ANALYSIS OF OPTIMISATION OF SINGLE & MULTI RESERVOIR SYSTEM USING LINEAR PROGRAMMING MODEL

Abstract

Now days, computational modeling has gained much importance for the determination of several phenomenon in the field of Hydrology. Artificial intelligence are now being used for prediction of rainfall, runoff etc. This dissertation depicts that how linear programming can be applied for the determination of reservoir capacity. Reservoir capacity depends on the inflow available and demand where inflow in the river is always greater than the demand, there is no storage required and if the inflow in the river is small but the demand is high, a large reservoir capacity is required. Here, two sets of constraints to be satisfied, one relates to storage continuity and the other to capacity. These two constraints are employed to define the linear equations and to develop the model. To get accurate results evaporation loss is also accounted for constructing the model. After the development of the model, it is analyzed using LINGO software in which values of the reservoir are provided and the reservoir capacity is determined. We have discussed about the storage yield relationships to provide the engineer engaged in planning and design of reservoir projects.It is useful for single-purpose and multipurpose reservoir. Multi reservoir operating policies are defined by either individual reservoir target storage volumes or desired releases depends on time of year and existing total storage volume in all the reservoirs.Multireservoir system serves the purpose of water supply, flood control and hydropower generation. There are also other methods available to solve the linear, nonlinear variables like genetic algorithm, discrete dynamic differential programming. And they may be comparable with the lingo software with a small difference in the value of global objective function.