Integrated Operation of Multi-Reservoir and Many-Objective System Using Fuzzified Hedging Rule and Strength Pareto Evolutionary Optimization Algorithm (SPEA2)

In this paper, a many-objective optimization algorithm was developed using SPEA2 for system of four reservoirs in the Karun basin, including hydropower, municipal and industrial, agricultural, environmental objectives. For purpose, 53 years available data, hedging rules were two modes: with without applying fuzzy logic. used to optimize coefficients first 43 data last 10 test optimized rule curves. The results compared those non-hedging methods, standard operating procedures (SOP) water evaluation planning (WEAP) model. indicate that combination logic many-objectives is more efficient than discrete alone. instance, reliability hydropower requirement fuzzified method drought scenario found be 0.68, which substantially higher 0.52 from method. Moreover, reduction maximum monthly shortage another advantage rule. Fuzzy reduced 118 million cubic meters (MCM) deficit Karun-3 reservoir as expected, SOP WEAP model produced reliabilities, lower average storages, less losses through spills.