Joint water supply dispatching of Jialing River reservoir group based on differential evolution-adaptive Metropolis algorithm
The differential evolution-adaptive Metropolis(DEAM)algorithm,a novel global optimization method,satisfies the ergodicity of each state,and is good at dealing with multi-variable nonlinear,high-dimensional,multi-peak and so on.This paper introduces the solution mechanism of the DEAM algorithm,and subsequently applies this algorithm to the optimal operation of a reservoir group.A multi-objective optimization model is established for the joint water supply dispatching process of Jialing River reservoir group,and the optimal water supply dispatching scheme is finally obtained based on the evaluation index system and multi-attribute decision-making of water supply dispatching rules of the reservoir group.The results show that Baozhusi Reservoir can fully satisfy the demand of planned water supply in dry year,while Shengzhong and Tingzikou reservoirs need to weigh the evaluation index of water supply dispatching.The research results lay a theoretical foundation for the application of DEAM algorithm in the study of reservoir group optimal operation,and can provide a reference for the formulation of practical joint scheduling scheme of Jialing River reservoir group.
differential evolutionadaptive MetropolisJialing River reservoir groupjoint water supply dispatching
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