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Stochastic multiobjective optimization of reservoirs in parallel

โœ Scribed by Y. C. Wang; J. Yoshitani; K. Fukami


Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
150 KB
Volume
19
Category
Article
ISSN
0885-6087

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โœฆ Synopsis


Abstract

A stochastic multiobjective optimization method for finding noninferior solutions of the operation problem of reservoirs in parallel is presented. This problem is characterized by a multiobjective optimization, a multireservoir system, and stochasticity of inflows, which represent three difficult aspects in reservoir system planning and operation. In this method, a constraint technique, decomposition iteration, and simulation analysis are employed conjunctively to deal with the three difficult aspects. The constraint technique is intended to transform the multiobjective optimization into a uniobjective one and the decomposition iteration in conjunction with the simulation analysis attempts to alleviate the dimensionality problem. The proposed methodology is applied to a reservoir system in the upper Tone River basin, which consists of three reservoirs in parallel and is operated primarily for three objectives: hydropower, water supply, and flood control. A total of 49 noninferior solutions for the reservoir system are obtained, from which the decision makers may be able to find the most satisfactory operating policy. Copyright ยฉ 2005 John Wiley & Sons, Ltd.


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