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MULTIOBJECTIVE PROGRAMMING MODEL FOR SEDIMENT SLUICING AND POWER GENERATION IN RESERVOIR OPERATION
作者姓名:ZHANG Yuxin and FENG Shangyou Wuhan University of Hydraulic and Electric Engineering  The English text is edited by Dr Ding Lianzhen
作者单位:ZHANG Yuxin and FENG Shangyou Wuhan University of Hydraulic and Electric Engineering,The English text is edited by Dr Ding Lianzhen
摘    要:I. INTRODUCTIONReservoir operation study in planning stage is an important task for the water resourcesdevelopment design. In the past. much attention has been paid to making the most ot' floodcontol. power generation, navigation. and water supply, but less to the unfavorable effectsdue to reservoir sedimentation. According to the survey of 425 reservoirs in Japan with a total storage capacity of 13.2 billion mJ a volume of 825 million m3 of sediment was depositedby the end of 1979. This…


MULTIOBJECTIVE PROGRAMMING MODEL FOR SEDIMENT SLUICING AND POWER GENERATION IN RESERVOIR OPERATION
ZHANG Yuxin and FENG Shangyou Wuhan University of Hydraulic and Electric Engineering,The English text is edited by Dr Ding Lianzhen.MULTIOBJECTIVE PROGRAMMING MODEL FOR SEDIMENT SLUICING AND POWER GENERATION IN RESERVOIR OPERATION[J].International Journal of Sediment Research,1993(1).
Authors:ZHANG Yuxin and FENG Shangyou Wuhan University of Hydraulic and Electric Engineering  The English text is edited by Dr Ding Lianzhen
Abstract:A multiobjective dynamic programming model is developed for solving the multiobjective problem to maximize power generation and in the same time to alleviate sediment deposition in reservoir operation. A three-stage iterative algorithm for the solution of the model is presented. By using the iterative algorithm to solve the model, the whole set of non-inferior solutions for two objectives and the relevant reservoir's non-inferior operation policies can be obtained. This model is capable to deal with the sellman's "curse of dimensionality" encountered in the multiobjective programming. The case study shows that the model is convenient to deal with the contradiction between power generation and sedimentation in reservoir and the iterative algorithm is efficient for solving such problems.
Keywords:Multiobjective dynamic programming  Non-inferior solution  Three-stage iterative algorithm  Objective function  State variable  
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