Deriving multipurpose reservoir operating rule curves using multi-objective genetic algorithms

Analyzing some problems of traditional methods in deriving multipurpose reservoir operating rule curves,this paper puts forward a GA-based model for multipurpose reservoir operation optimization with two objectives to maximize water supply reliability and minimize total water deficiency.In this model,basic parameters of operating rule curves are used as its decision variables;and feasible decision variable sets are evaluated through reservoir simulation;and their fitness are determined by corresponding operation performances;then three genetic operators are used to improve operating rule curves.This process is continued until certain convergence condition is met.Finally,the non-inferior solutions of operating rule curves are obtained.The model is applied to a multipurpose reservoir in North China where the operating results demonstrate its applicability.