Development of an optimal operating policy of multi-reservoir systems in Mahanadi Reservoir Project Complex, Chhattisgarh

Abstract

Abstract Real-world optimization problems are usually non-linear and solving nonlinear problems requires time. Hence heuristic techniques are frequently used. Simulated annealing (SA) is one of the most commonly used heuristic algorithms. SA is useful in the narrow search area. In the present study, simulated annealing has been developed to derive the optimal for multi-reservoir systems. Problem statement: In respect of water release, multi-reservoir system in Mahanadi Reservoir Project is an example of such a complex system, therefore the optimum operation of such a reservoir is one of the complicated and uncertainxs issues water resource management. Approach: Traditional models to optimize water resource systems have proven to be ineffective due to increased decision variables and time constraints. In recent decades, the adaptive random research SA model has shown acceptable performance in solving major problems. Results: The model applies to derive the optimal operating policies of existing multi-reservoirs system in Chhattisgarh, India. The formulated objective function of the present study is to minimize the sum of squared deviation on downstream release and demand and compare the performance of the SA model to the existing reservoir systems operation policy. The overall performance of existing multi-reservoir system has increased on average by, 28.09%, 10.12%, 36.49% in case of reliability, resilience, sustainability respectively, and vulnerability reduced up to 11.83%. Conclusions/Recommendations: The results of these algorithms show that SA can deal with complex problems. SA is a novel promising reservoir optimization search technique. It merits further research for other applications in this field.