Nonlinear economic model prediction control method applied to fan

An economic model and predictive control technology, which is applied in the direction of wind engine control, engine control, engine control parameters, etc., can solve problems such as difficult economy and poor effect of tracking predictive control

Inactive Publication Date: 2019-08-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] The purpose of the present invention is to provide a nonlinear economic model predictive control method applied to wind turbines, which solves the problems in the prior art that the effect of tracking predictive control is not good and it is difficult to achieve economical efficiency

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  • Nonlinear economic model prediction control method applied to fan
  • Nonlinear economic model prediction control method applied to fan
  • Nonlinear economic model prediction control method applied to fan

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Embodiment Construction

[0064] The present invention will be described in detail below in combination with specific embodiments.

[0065] The present invention is applied to the non-linear economic model predictive control method of fan, specifically according to the following steps:

[0066] Step 1. Carry out mechanism modeling based on the fan principle;

[0067] Step 2. Select generator rotor angular velocity, wind rotor rotor angular velocity, shaft torsion angle, tower offset, and tower offset velocity as the state variables of the fan model, and generator torque and pitch angle as the control variables of the fan model , the angular velocity of the generator rotor and the generator power are used as the output of the fan model, and the nonlinear model of the fan is expressed in the form of a state space equation;

[0068] Step 3, using the fourth-order Runge-Kutta method to discretize the above-mentioned continuous fan nonlinear model to obtain a discrete fan nonlinear prediction model;

[00...

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Abstract

The invention discloses a nonlinear economic model prediction control method applied to a fan. Firstly, the mechanism modeling is performed based on a fan principle; a generator rotor angle speed, a wind wheel rotor angle speed, a shaft twisting angle, a tower offset and a tower deviation speed are selected as state quantities of a fan model; a generator torque and a pitch angle are used as control quantities of the fan model; the generator rotor angle speed and a generator power are used as outputs of the fan model; a fan nonlinear model is expressed in a state space equation form; then, a nonlinear prediction model of the fan is dispersed; representative economic indexes are selected to form economic target functions to embody economic performances of a wind power generation system; constraint conditions of the state quantities, the control quantities and the outputs are set; and finally, optimization functions are used for solution to obtain an optimal control quantity. The method solves the problems of weak tracking prediction control effect and difficult achievement of the economy in the prior art.

Description

technical field [0001] The invention belongs to the field of energy technology, and in particular relates to a nonlinear economic model predictive control method applied to wind turbines. Background technique [0002] Today's wind power generation technology relies on wind turbines to achieve. A wind turbine is an energy conversion device that converts the kinetic energy of the wind into different forms of electrical energy. At present, there are four types of wind turbines: constant speed and fixed pitch, constant speed and variable pitch, variable speed and fixed pitch, and variable speed and variable pitch. Fixed pitch means that the blades of the fan are rigidly connected to the hub, and the pitch angle of the fan remains unchanged. The variable pitch is a flexible connection, and the pitch angle of the blade is allowed to change. Fixed-pitch fans and variable-pitch fans are different in blade design. The design of the blades of the fixed-pitch fan has stall characte...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/00
CPCF03D7/00F05B2260/82F05B2260/84F05B2270/328F05B2270/33Y02E10/72
Inventor 孔小兵吴倩马乐乐张皓刘向杰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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