Method for predicting performance of centrifugal pump as turbine based on improved artificial neural network

Abstract

The invention discloses a method for predicting the performance of a centrifugal pump serving as a turbine based on an improved artificial neural network. The method comprises the following steps: firstly, calculating the lift HBEP, T and the flow QBEP, T of the optimal working condition point of the pump serving as the turbine at each specific speed in a segmented manner, and calculating the ratio a of the flow Qi to the flow QBEP, T at each working condition point in a turbine state and the square root b of the ratio of the Hi to the HBEP, T corresponding to the Qi; constructing a training set, wherein each training sample comprises geometric parameters, flow, a and b of the centrifugal pump and lift and efficiency corresponding to each flow in a turbine state; constructing an artificial neural network, and simultaneously performing L1 and L2 regularization on the artificial neural network; training the artificial neural network by adopting the training set; and finally, geometric parameters a and b of a to-be-predicted centrifugal pump in a turbine state are input into the trained artificial neural network, and lift and efficiency corresponding to each flow working condition are output. The method is wide in application range, high in prediction precision and short in calculation period.

Description

technical field [0001] The invention belongs to the field of performance prediction of centrifugal pumps used as turbines, and particularly relates to a performance prediction method of centrifugal pumps used as turbines based on an improved artificial neural network. Background technique [0002] Electricity is an indispensable energy in daily production and life. From the perspective of power generation, at present, thermal power generation is still the main power generation method in my country. However, as my country and the world pay more and more attention to environmental issues, the contribution of thermal power plants to electricity production will be gradually reduced, and new energy sources and environmentally friendly energy methods will be vigorously developed to promote sustainable development. It is in this context that micro-hydropower is getting more and more attention. For remote areas, the installation of hydro turbines is inconvenient and the maintenance...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the deficiencies of the prior art, the present invention provides a method for predicting the performance of a centrifugal pump as a turbine based on an improved artificial neural network, which can accurately and quickly predict the performance of the pump in the turbine when some parameters in the pumping state are known. hydraulic properties in the state

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