Performance Evaluation of a Hybrid ANFIS Model and Meta-Heuristic Algorithms in Optimal Operation of Dam Reservoir

The main purpose of this paper was to develop optimal models of reservoir operation in order to supply different downstream demands based on fuzzy logic and meta- heuristic algorithms. In this regard, firstly, the optimal values of the released water releases from Zayanderood reservoir during the operation period based on the objective functions and different constraints, were extracted using meta- heuristic algorithms including Genetic Algorithms, Particle Swarm Optimization, Differencial Evolution, Harmony Search and Charged System Search, considering the inflow and the downstream demands during this period. Then, with regard to the optimal values of the released water over a long period, using fuzzy logic based models such as ANFIS and a new combination of ANFIS and meta-heuristic algorithms, various types of operation models were developed. Finally, the performance of these models were evaluated with various performance evaluation criteria such as reliability, reversibility, vulnerability and sustainability.The results showed the proper performance of the new hybrid system in developing the reservoir operation model. According to the results, the sustainability values achieved by the new hybrid and classic systems were 0.30 and 0.18, respectively. Also, this hybrid system showed a good performance by supplying 95.99% of the total demands of Zayanderood reservoir system.