Regional water resource allocation bi-level decision-making optimization method based on water right
A technology of water resources allocation and optimization method, applied in the field of water resources management, can solve problems such as allocation
Inactive Publication Date: 2015-05-06
SICHUAN UNIV
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Problems solved by technology
[0005] The technical problem to be solved by the present invention is to provide a two-level decision-making optimization method for regional water resource allocation based on water rights to solve the problem of regional water resource allocation based on water rights
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[0211] In order to further understand the invention content, characteristics and usage of the present invention, the following examples are given in detail.
[0212] Suppose there is a tank farm with 4 sub-areas (i=1,2,3,4, where i=1 represents sub-area 1, i=2 represents sub-area 2, i=3 represents sub-area 3, i=4 Representing sub-region 4), its water resources are mainly used as industrial water, residential water, agricultural water and ecological water. Considering the main uses of its water resources, three water users in the sub-region are mainly considered here (k=1,2, 3, where k=1 means industrial water, k=2 means residential water, k=3 means agricultural water), the ecological water of the whole area will be listed as the first consideration, the water flow network of the tank farm and the water users, such as Figure 9 shown. Suppose the water price function of this tank farm is p(r)=6-1.2r(r3 , the ecological benefit is 25.8RMB / m 3 , the minimum ecological water req...
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The invention relates to water resource management and provides a regional water source allocation bi-level decision-making optimization method based on water right. Firstly, a system obtains the fuzzy random variables of related uncertain factors. Secondly, the system conducts fuzzy number conversion on the fuzzy random variables and expectation on fuzzy numbers. Thirdly, the system obtains the objective functions and the constraint conditions of the upper / lower level according to the expectation value and the decision variables of the upper / lower level. Fourthly, the system obtains bi-level planning global models of the regional water resource allocation based on the water right according to the calculation of the objective functions and the constraint conditions of the upper / lower level. Lastly, the system converts the bi-level planning global models into a single-level planning function and gets solution from the function. Through the adoption of a bi-level decision-making optimization technique combined with an interaction fuzzy planning under an uncertain environment and a method of a genetic algorithm based on selection of the entropy-Boltzmann, solution can be conducted so that the optimization calculation is simple and accurate. Therefore, the bi-level decision-making optimization method is applicable to the regional water resource allocation of the water right.
Description
technical field [0001] The invention relates to water resource management, in particular to a decision-making method for regional water resource allocation of water rights. Background technique [0002] Two-level decision-making optimization method is a kind of optimization method for problems with two-level hierarchical structure. Its main research has two levels of system planning and management problems. It is divided into upper layer and lower layer, and the upper and lower layers have their own decision variables, constraints and objective functions. One of the main aspects that this method is different from other optimization methods is that it is no longer a decision-maker for planning and decision-making, but there are two layers of decision-makers. The upper-level decision-makers only guide the lower-level decision-makers through their own decisions, not directly. Interfering with the decision-making of the lower layer; while the decision-making of the lower layer...
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Login to View More IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 徐玖平涂燕曾自强
Owner SICHUAN UNIV