Assessment of safe reservoir yield by full optimization model by linear programming method

摘要

This study determines a deterministic distribution of future water storage shortages, based on the known existing demands and the historical data. The data used for this study is the historical monthly flow data for 28 years of the Upper Penganga Project- Isapur reservoir in the Godavari river basin in Maharashtra, India. It is major irrigation reservoir with live capacity of 958.43 MCM and for this given capacity the safe yield was determined. The objective function is to maximize the annual safe reservoir yield. Decision variables were selected as released for irrigation and other demands (industrial and municipal), from the reservoir. A simulation programme has been developed with continuous comparison on the basis of the information obtained from the linear programming model. Hence based on the present study it is concluded that full optimization model could perform better if applied in real world operation of the reservoir.