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Parameter identification method for prime mover model of axial-flow Kaplan turbine

A technology of model parameters and identification methods, applied in data processing applications, instruments, geometric CAD, etc., can solve the problems of difficulty in model parameter identification and many parameters of the prime mover model, and achieve the effect of improving the efficiency and accuracy of identification

Pending Publication Date: 2022-07-15
STATE GRID FUJIAN ELECTRIC POWER RES INST +2
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the guide vanes and paddles of the axial-flow propeller turbine can be adjusted, and the prime mover model has many parameters, which brings difficulties to the identification of model parameters.

Method used

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  • Parameter identification method for prime mover model of axial-flow Kaplan turbine
  • Parameter identification method for prime mover model of axial-flow Kaplan turbine
  • Parameter identification method for prime mover model of axial-flow Kaplan turbine

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Embodiment Construction

[0018] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] The present invention is a method for identifying the parameters of the prime mover model of an axial-flow rotary paddle turbine. The test method of decoupling is adopted to measure the influence of the respective actions of the guide vane and the paddle on the mechanical power, and the prime mover model is divided into guide vane links. It is identified separately from the blade link, and the parameters of each link are identified in turn.

[0020] The following is the specific implementation process of the present invention.

[0021] like figure 1 A schematic diagram of the system identification method is shown. System identification is to determine the mathematical model describing the system by observing the relationship between the input and output of a system. System identification consists of three elements: data, model class...

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Abstract

The invention relates to an axial-flow Kaplan turbine prime mover model parameter identification method. The method is suitable for parameter identification of the axial-flow Kaplan turbine described by adopting a rigid water hammer model and a water diversion system of the axial-flow Kaplan turbine. Due to the fact that when the axial flow movable propeller turbine operates, guide vanes and paddles act in a combined mode, the guide vane opening degree and the action of the paddle opening degree on mechanical power are mutually coupled, and therefore seven to-be-identified model parameters are difficult to accurately identify through a conventional identification method. According to the method, the prime mover model is divided into the guide vane link and the paddle link, and the guide vane link and paddle link parameters are sequentially identified in combination with a de-association field test mode, so that the identification efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to a method for identifying parameters of a prime mover model of an axial-flow rotary paddle turbine. Background technique [0002] Fujian Province is rich in water resources, and the proportion of hydropower generation far exceeds that of other provinces. The hydropower industry is one of the basic pillar industries of Fujian's economy. A water turbine is a prime mover that converts the potential energy of water into kinetic energy, and is connected to a generator to convert it into electrical energy, which is then supplied to users through the power grid. The specified frequency of the power system is 50Hz, and its deviation range should generally not exceed ±0.2Hz, and the balance of active power determines the stability of the power system frequency. The load of the power system is always fluctuating and difficult to predict. The fluctuation range can sometimes reach about 3% of the total capacity of the power grid, and the f...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/20G06Q50/06
CPCG06F30/17G06F30/20G06Q50/06
Inventor 姚晔江世雄徐振华林德源王官宏陶向宇杨海云曾忠旺林亚涛吴在强张厚瑜李颖杰
Owner STATE GRID FUJIAN ELECTRIC POWER RES INST
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