investigating pareto front extreme policies using semi-distributed simulation model for great karun river basin

This study aims to investigate the different management policies of multi-reservoir systems and their impact on the demand supply and hydropower generation in great karun river basin. for this purpose, the semi-distributed simulation-optimization model of the great karun river basin is developed. also, the multi-objective particle swarm optimization algorithm is applied to optimize the developed model and determine the optimum operating policies. the significance of this research is using the semi-distributed simulation model to simulate the supply of system demand sites that leads to obtaining more realistic results compared to the centralized models. the results of this study show that the effects of different system reservoirs on energy production and demand supply are not the same across the basin and they should be considered carefully for achieving maximum efficiency of the multi-reservoir system in meeting different demands and for extracting the optimal operating rule curves.