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And the individual reservoir manager, at the lower level, pursues the best water supply accompanying the action of water transfer by optimizing hedging rule curves.
For simulating the case study on base of the hedging rule, the fuzzy-rationing factor with hedging rule has been coupled.
The reservoir hedging rule curves are used to avoid severe water shortage during drought periods.
In two points, it used hybrid of the simulation hedging rule and NSGA-II; then the Pareto set presented according to Figs. 9 and 10.
For this purpose, a hedging rule simulation base on fuzzy rationing factor has been connected to the multi-objective NSGA-II.
In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually.
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In this article, a hybrid model developed for simultaneously optimizing water allocation and searching the new reservoir hedging rules to minimize the impacts of droughts is shown.
Also, during each time period t, the relationship between the rule curves and the hedging rules employed in this paper and its corresponding water-supply operation rule are illustrated in Eqs.
In Fig. 2, there are five zones that consist of zones 1 3 and transition zone 1 and 2. How to apply simultaneously both the rule curves coupled with hedging rules is described next.
Open image in new window Fig. 12 Rule curves of the new hedging rules for Kosar reservoir Open image in new window Fig. 13 Rule curves of the new hedging rules for Kheirabad reservoir Open image in new window Fig. 14 Rule curves of the new hedging rules for Chamshir reservoir.
Open image in new window Fig. 1 The simple hedging rules for a multipurpose reservoir Open image in new window Fig. 2 The new hedging rules for a multipurpose reservoir Open image in new window Fig. 3 Trapezoidal membership functions for rationing factors 1.
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