Hydraulic energy dynamic simulation algorithm for hydropower station

Abstract

The invention relates to the technical field of hydropower stations, in particular to a hydraulic energy dynamic simulation algorithm for a hydropower station. The algorithm comprises the following steps: 1) importing a water turbine model runner overall characteristic curve chart into a database, acquiring eng(Q<11>, n<11>) relation curve data and output limit line data reflected in the chart according to the water turbine model runner overall characteristic curve chart provided by a manufacturer, and importing the acquired data into the database; 2) building a neural network model, and performing data training, so that the neural network model can reflect and depict an eng(Q<11>, n<11>) relation curve of a water turbine, and the model meets a sufficient accuracy requirement; 3) importing an all-year daily-runoff sequence and water head data of the hydropower station; 4) importing parameters (rotating speed ni, diameter Di and setting elevation delta nabla) of the water turbine. By adopting the algorithm, mathematical simulation is performed on a power generation process of a power station by an optimizing intelligent algorithm model on the basis of giving a runner and a hydrologic process, so as to obtain an annual energy output index of the power station, and a reliable basis is laid for modeling of a hydro-generator and technical and economic analysis of the hydropower station.

Description

【Technical field】 [0001] The invention relates to the technical field of hydropower stations, in particular to a hydropower dynamic simulation algorithm for hydropower stations. 【Background technique】 [0002] With the continuous development of society, energy, as a non-renewable resource, is becoming less and less, and finally forms the energy shortage in the current society. The depletion of non-renewable resources such as petroleum and coal has made people increasingly dependent on renewable resources. Therefore, clean and pollution-free hydropower, wind power, and solar power can flourish. [0003] Among the several renewable energy sources mentioned above, hydropower has the best economics. However, due to the limitations of traditional water energy calculation and unit selection methods, designers lack systematic thinking during the design process, resulting in the model selected in the design plan not being optimally matched with the actual power station, and the th...

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Problems solved by technology

[0008] The above water energy calculation method has its unavoidable shortcomings. Since the value of k is fixed, the entire calculation method cannot reflect the change characteristics of turbine efficiency under different working conditions, so it is difficult to distinguish the difference of water energy under different models, and at the same time make the whole The hydropower analysis results of the power station have large errors

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