Use of developed GP Optimization Tool for Multi-objective Operating of Reservoirs in Climate Change Conditions

The application of optimization methods and tools for multi-objective utilization, in operation of a reservoir in the wake of climate change conditions is an inevitable issue. In this study, Multi-Objective Genetic Programming (MO-GP) is employed to extract multi-objective optimal operating rules from Aidoghmoush reservoir (East Azerbaijan) in climate change conditions. These rules are derived with two objectives of minimization of the vulnerability and maximization of the reliability in the baseline (interval 1987-2000) and climate change (interval 2026-2039) conditions. The results show that the range of changes of the vulnerability index in the baseline vs climate change conditions are from 16 to 41% and from 11 to 35% and the range of changes of the reliability index in the baseline vs climate change conditions are from 46 to 78% and 30 to 77%. In order to do more investigations, the two alternatives (development of rules in the baseline operating interval as based upon the baseline conditions; and rules developed within climate change operating intervals as based upon climate change conditions) are considered. In order to investigate the performance of the reservoir in supplying of the demand, the objective function values for a Pareto point (reliability of 75%) in the two alternatives under consideration are compared. The results show that the second alternative is of a more appropriate performance, relative to the first one.