Wind turbine generator power characteristic control method

Abstract

Provided is a wind turbine generator power characteristic control method. At present, the parameters of a main control system control strategy of fans installed and operated in each wind field are calculated according to standard conditions, and the generating capacity cannot reach a predicted level. The method comprises the following steps: establishing a dynamic model; establishing a wind speed spectrum of the skim-over wind wheel; establishing linearization models of different structures to obtain linearization characteristic values; performing sector control; the wind generating set can be divided into a plurality of sectors according to the direction of incoming wind, different turbulent wind is formed in each sector due to the influence of terrain, landform, environment and the like, strong wake flow can be generated in the SSW-S sector if the incoming wind in the E-NINE sector is large turbulent wind, and the generating capacity and vibration of the fan behind the SSW-S sector generate large influence, so that the wind generating set can generate strong wake flow in the SSW-S sector. And the fan runs in a large turbulence sector, so that the generation of wake flow can be reduced through a special control strategy. The method is used for wind turbine generator power characteristic control.

Description

technical field

[0001] The invention relates to a method for controlling the power characteristics of a wind turbine. Background technique

[0002] The existing wind turbine technology is insufficient to study the wind characteristics, and the quasi-static steady flow is used as the main wind model to design wind turbines. However, wind energy is essentially a turbulent flow of air, and its wind direction, wind speed, vortex, flow form, etc. are always changing randomly and rapidly, so its energy is also changing all the time, and its characteristics need to be deeply studied. Research.

[0003] At present, for the wind turbines installed and operated in various wind farms, the parameters of the control strategy of the main control system are calculated according to standard conditions. The calculations use standard air density, ambient temperature, altitude, etc., ignoring the specific wind farm Due to the working conditions, the power curve during the final wind turbine ...

Examples

Embodiment 1

[0022] A method for controlling power characteristics of a wind turbine, the method comprising the steps of:

[0023] (1) Establishment of dynamic model;

[0024] (2) The establishment of the wind speed spectrum passing the wind rotor;

[0025] (3) Establish linearization models of different structures to obtain linearization eigenvalues;

[0026] (4) sector control;

[0027] According to the direction of the incoming wind, it can be divided into multiple sectors. Due to the influence of terrain, landform, environment, etc., different turbulent winds are formed in each sector. The incoming wind in the E-NINE sector is a large turbulent wind. A strong wake is generated in the SSW-S sector, and the power generation and vibration of the fan behind the SSW-S sector have a greater impact. When the fan operates in a large turbulence sector, a special control strategy can be used to reduce the wake. flow generation.

Embodiment 2

[0029] According to the wind turbine power characteristic control method described in Embodiment 1, the specific process of the step (1) is: combined with the special meteorological conditions of a specific location to perform dynamic randomization, which is formed by superimposing two parts, namely V(t) =Vs(t)+Vt(t);

[0030] In the formula, Vs(t) is the low-frequency part; Vt(t) is the turbulent part, the model of the low-frequency part is represented by Weibull distribution, and the high-frequency part is the model established by the fast wind speed change part. The turbulence is described, and then the von Karman model is used to shape and filter the first-order filter turbulence model.

Embodiment 3

[0032] According to the wind turbine power characteristic control method described in Embodiment 1 or 2, the specific process of the step (2) is: using rotating sampling filtering, fully considering the influence of wind torque variation and fixed-point wind speed turbulence in model building , the power of the mid-frequency band of the wind fluctuation characteristics on the blade is transmitted to the high-frequency band, so as to obtain an integer multiple of the rotation speed; the refined model also includes the induction lag subsystem generated when the wind speed or pitch angle changes suddenly, Effectively reduce the overall control difficulty of wind fluctuations on WTGS, making power control more precise, so as to achieve the purpose of increasing power generation.

technical field

[0001] The invention relates to a method for controlling the power characteristics of a wind turbine. Background technique

[0002] The existing wind turbine technology is insufficient to study the wind characteristics, and the quasi-static steady flow is used as the main wind model to design wind turbines. However, wind energy is essentially a turbulent flow of air, and its wind direction, wind speed, vortex, flow form, etc. are always changing randomly and rapidly, so its energy is also changing all the time, and its characteristics need to be deeply studied. Research.

[0003] At present, for the wind turbines installed and operated in various wind farms, the parameters of the control strategy of the main control system are calculated according to standard conditions. The calculations use standard air density, ambient temperature, altitude, etc., ignoring the specific wind farm Due to the working conditions, the power curve during the final wind turbine ...

Examples

Embodiment 1

[0022] A method for controlling power characteristics of a wind turbine, the method comprising the steps of:

[0023] (1) Establishment of dynamic model;

[0024] (2) The establishment of the wind speed spectrum passing the wind rotor;

[0025] (3) Establish linearization models of different structures to obtain linearization eigenvalues;

[0026] (4) sector control;

[0027] According to the direction of the incoming wind, it can be divided into multiple sectors. Due to the influence of terrain, landform, environment, etc., different turbulent winds are formed in each sector. The incoming wind in the E-NINE sector is a large turbulent wind. A strong wake is generated in the SSW-S sector, and the power generation and vibration of the fan behind the SSW-S sector have a greater impact. When the fan operates in a large turbulence sector, a special control strategy can be used to reduce the wake. flow generation.

Embodiment 2

[0029] According to the wind turbine power characteristic control method described in Embodiment 1, the specific process of the step (1) is: combined with the special meteorological conditions of a specific location to perform dynamic randomization, which is formed by superimposing two parts, namely V(t) =Vs(t)+Vt(t);

[0030] In the formula, Vs(t) is the low-frequency part; Vt(t) is the turbulent part, the model of the low-frequency part is represented by Weibull distribution, and the high-frequency part is the model established by the fast wind speed change part. The turbulence is described, and then the von Karman model is used to shape and filter the first-order filter turbulence model.

Embodiment 3

[0032] According to the wind turbine power characteristic control method described in Embodiment 1 or 2, the specific process of the step (2) is: using rotating sampling filtering, fully considering the influence of wind torque variation and fixed-point wind speed turbulence in model building , the power of the mid-frequency band of the wind fluctuation characteristics on the blade is transmitted to the high-frequency band, so as to obtain an integer multiple of the rotation speed; the refined model also includes the induction lag subsystem generated when the wind speed or pitch angle changes suddenly, Effectively reduce the overall control difficulty of wind fluctuations on WTGS, making power control more precise, so as to achieve the purpose of increasing power generation.