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《Journal of Hydroelectric Engineering》 2013-01
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Study of water-sediment operation model of reservoirs with catfish-effect particle swarm optimization algorithm

JI Changming,LIU Fang,PENG Yang,XIANG Tengfei(The New and Renewable Energy of Beijing Key Laboratory of North China Electric Power University,Beijing 102206)  
In this study,a multi-objective decision-making model was developed for optimal coordinative operation of water and sediment in reservoir,with a comprehensive consideration of the objective and decision variables to overcome the difficulties related to multi-objectives,multi-dimensions and non-linearity etc.It was solved by a catfish effect particle swarm optimization algorithm(CE-PSO) of better global searching capability and faster convergence.It integrates the objectives and decision variables in a new way for solution of the problem,and its algorithm overcomes the fault of particle swarm trapped easily into local optimum,so that dimension disaster and complex constraints can be effectively simulated.Case studies reveal that under a given constraint on sediment deposition in the reservoir,impoundment of water in advance on purpose would be a good solution to the conflict between power generation and sedimentation reduction,if sediment regulation in flood period is allowed.These calculations also verified the validity and universality of the new model developed in this work.
【Fund】: 国家自然科学面上基金资助(51279062);; 国家自然科学基金资助项目资助(51179069)
【CateGory Index】: TV145;TV697.11
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