Optimization of hedging Rule for Reservoir Dams Via Connecting a Genetic Algorithm to a Simulation Model

Using of a hedging rule during drought periods is a usual approach in water resource management. In this method, although may be possible to satisfy all of demands, occasionally, portions of demands are met. This policy saves water with imposing a little deficit in the current period instead of a severe water shortage in future, which is effective for social and economical aspects. One of the key points in this regard, is to calculate optimal rationing factors for different purposes and optimum trigger volume for each reservoir to start hedging rule. For this purpose, in the present study, a coupled simple genetic algorithm to the simulation model (ARSP) including flow network penalty structure and linear programming model is used. The capabilities of the model are investigated in the Zohreh water resource system as a case study located in west southern of Iran. The results show that the combination model improves intensity of water shortages in comparison with the situation of without hedging rule. Moreover, the model provides the possibility of considering more details for the water resource systems.