The thesis addresses the problem of power optimization in a hydroelectric power plant equipped with multiple identical turbines. In real-world operation, situations arise where the available river flow is lower than the total nominal flow of all turbines, which makes it non-trivial to optimally distribute the flow among individual turbines in order to achieve the maximum total electricity production.
The purpose of the thesis is to develop a computer simulation model that determines the maximum power output of a hydroelectric power plant through appropriate distribution of water flow among individual turbines based on given input parameters. In addition, the model enables the display and analysis of the maximum possible power of the plant depending on the total available water flow. The theoretical part presents the basic principles of hydroelectric power plant operation, types of hydroelectric plants, and types of turbines (Pelton, Kaplan, Francis), with an emphasis on their efficiencies depending on the flow. The regulation of turbine rotational speed and the influence of individual parameters on the overall efficiency of the plant are also described.
In the practical part of the thesis, a simulation model was developed in the Python programming language, which allows the user to input various parameters: number of turbines, nominal flow, type of turbine, and actual river flow. The model is based on the nonlinear dependence of turbine efficiency on flow and on the water head, which is also defined as a function of flow. Due to the complexity and nonlinearity of the problem, a numerical optimization method was used, employing the Monte Carlo algorithm, which enables the search for a global maximum through multiple runs and randomly selected initial conditions.
As part of the thesis, several analyses of the simulation model were conducted, focusing on verifying its reliability and responsiveness to different input parameters. In particular, the dependence of optimization results on the number of initial points in the Monte Carlo method and the effect of repeated runs of the simulation with identical parameters were analyzed. In addition, a comparative analysis was carried out between optimized and uniform flow distribution among the turbines at various values of available flow, for all three types of turbines considered.
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