Optimization algorithm of reservoir water resources management to substantiate dispatch schedules

The rules for the use of reservoir water resources need to be constantly updated, considering a significant number of factors affecting the effectiveness of management. Anthropogenic changes in morphometric functions, partial siltation of dead volume, and changes in basic hydrological characteristics have a significant impact on reservoir parameters and flow regulation regime. Justification of the regulatory regime remains an urgent and traditionally difficult engineering task of the IRP, discussed at professional meetings and in scientific publications. The article discusses a methodological approach based on the introduction of a given control algorithm into the process of assigning an interval request to the reservoir. In this case, the request is formulated as a two-parameter power function of the predicted resource for the estimated time interval (month). The degree indicator and the relative length of the range of uninterrupted water requirements coverage are the arguments of the query function. Nomograms illustrating the influence of the degree indicator on the outline of the dependence of requirements on the reservoir are constructed. In our opinion, this approach significantly reduces the Pareto set, excluding a significant part of the set of formal optima. The algorithm of the proposed model is focused on two-criteria optimization, where the relative values of the total annual water output and the sum of the relative interval ordinates of water consumption are considered as criteria. The unified functional is formed by linear convolution of criteria. The model was tested on the example of the resources of the Zhizdra River for a series of two low-water years. In the process of balance modeling and optimization, Excel tools are used, including “solution search” and VBA procedures. It is noted that it is necessary to use more powerful optimization algorithms for calculations based on multiyear hydrological series.

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