KR101338120B1 - Fault simulator for wind turbine control system, and method of simulating fault of wind turbine control system - Google Patents

Abstract

The failure simulation apparatus for a wind power generation system relates to a failure simulation apparatus for a wind power generation system including an electric motor for driving a generator, and includes a failure generator, an electric motor controller, and a generator controller. The fault generator is generated by converting the wind speed data into a normal wind speed signal or a wind speed fault signal using the fault occurrence data model. The motor controller controls the rotation speed of the motor in response to the wind speed steady signal. The generator controller controls the torque of the generator in response to the wind speed steady signal or the wind speed failure signal.

Description

Fault simulator for wind turbine control system, and method of simulating fault of wind turbine control system

The present invention relates to a wind power generation system (wind power generation system), and more particularly, to a device capable of simulating and testing a failure of a wind power generation system, and a failure simulation method of a wind power generation system. It is about.

In general, wind power generation refers to a power generation method in which a blade is rotated by natural wind, and the speed is increased by using a gear mechanism to turn a generator. Accordingly, in the case of a wind power generation facility in which wind power generation is performed, the output is dependent on weather conditions. It has the characteristic of constantly changing.

The wind power generation system is the most rapidly spreading energy source among renewable energy generation systems, and is an essential power generation means for reducing CO ₂ to prevent global warming.

Wind power generation is a power generation method that converts naturally generated wind into electricity by installing wind generators at a high level in windy areas. Such wind power generation is emerging as an economical alternative energy in the high oil price era.

Most of the wind power generators used in the wind power generation is divided into a mechanical configuration and a control configuration. At this time, the mechanical configuration of the wind turbine is a basic design configuration for installing the wind turbine in a specific position, a tower for positioning the wind generator at a high altitude, blades, hubs, and gears that rotate by wind to generate power The various configurations of are combined. In addition, the control configuration of the wind power generator is composed of electrical and electronic circuits to store power as the mechanical configuration is driven and to control the driving state of the mechanical configuration according to the situation.

In particular, in order to detect the driving state of the inside of the generator of the control configuration of the wind turbine for each situation, various sensors are installed in each machine configuration. Such sensors are applied to temperature sensors, tacho sensors, or hydraulic sensors to detect driving conditions inside the wind turbine, and most of these sensors are located in a nacelle having the highest physical stress. Is installed. An example of a system for simulating the wind turbine generator in relation to the failure simulation apparatus of the wind turbine generator system of the present invention is disclosed in Republic of Korea Patent Publication No. 10-2011-0035583 (2011.4.6.) And Patent Registration No. 10-0930956 It is disclosed in the issue (Dec. 02, 2009).

The technical problem to be solved by the present invention is a failure simulation apparatus for a wind power generation system further comprising (installed) a device (failure generator) for generating a failure in a test device in place of a blade, a rotor, and a pitch controller, and It is to provide a simulation method for the failure of wind power generation systems.

In order to achieve the above technical problem, the fault simulation apparatus for a wind power generation system according to an embodiment of the present invention relates to a fault simulation apparatus for a wind power generation system including an electric motor for driving a generator, the wind speed data failure A fault generator generated by converting the wind speed steady signal or the wind speed fault signal using the generation data model; An electric motor controller for controlling the rotational speed of the electric motor in response to the wind speed steady signal; And a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal.

The wind speed data may be mathematical model data or actual wind speed data for generating wind speed.

The failure generator is generated by converting a sensor signal for detecting the rotational speed of the motor into a motor rotational speed normal signal or a motor rotational speed failure signal using the failure generation data model, the generator controller is the motor rotational speed normal signal Alternatively, the torque of the generator may be controlled in response to the motor rotation speed failure signal.

The fault generator is generated by converting a sensor signal detecting the torque of the generator into a generator torque normal signal or a generator torque failure signal using the failure generation data model, and the generator controller generates the generator torque normal signal or the generator torque. The torque of the generator can be controlled in response to the failure signal.

The fault generator is generated by converting a sensor signal for sensing the internal driving state of the generator into a sensor normal signal or a sensor fault signal using the fault generation data model, and the generator controller generates the sensor normal signal or the The torque of the generator may be controlled in response to a sensor failure signal.

The fault occurrence data model includes the wind speed failure signal and the motor rotation speed failure signal irrespective of the normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. The failure signal value including the generator torque failure signal or the sensor failure signal may be set to a constant value.

The fault occurrence data model may include a constant value added to a constant signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal, and the wind speed failure signal. It may be set to a failure signal value including the motor rotation speed failure signal, the generator torque failure signal, or the sensor failure signal.

The fault occurrence data model may include the wind speed fault signal, the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the normal signal value including the sensor normal signal multiplied by a constant value. It may be set to a failure signal value including the motor rotation speed failure signal, the generator torque failure signal, or the sensor failure signal.

The failure occurrence data model may include a random signal value according to a change in time over an allowable range to a normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. The value may be set to a fault signal value including the wind speed fault signal, the motor rotation speed fault signal, the generator torque fault signal, or the sensor fault signal.

The fault generator may convert an analog signal of the wind speed data, a sensor signal sensing the motor rotation speed, a sensor signal sensing the generator torque, or a sensor signal sensing the internal driving state of the generator into a digital signal. Analog-to-digital converters; A digital signal processing device for digitally processing the digital signal output from the analog-digital converter by using the failure generation data model; And a digital-to-analog converter for converting a signal output from the digital signal processing device into an analog signal and providing the signal to the generator controller.

The fault generator outputs a normal pitch actuator signal or fault pitch actuator signal associated with driving the pitch actuator for adjusting the pitch angle in response to a pitch command for outputting from the generator controller and adjusting the pitch angle of the blade of the wind power generation system. The generator may be generated using a data model that models the pitch actuator, and the generator controller may control the torque of the generator in response to the normal pitch actuator signal or the faulty pitch actuator signal.

The failure generator may generate the failure pitch actuator signal by using a first transfer function or a second transfer function that models a failure of the pitch actuator.

The fault generator may include an analog-digital converter for converting an analog signal of the pitch command into a digital signal; A digital signal processing device for digitally processing the digital signal output from the analog-to-digital converter using a transfer function data model which is a data model that models the pitch actuator; And a digital-to-analog converter for converting the signal output from the digital signal processing apparatus into an analog signal and providing the normal pitch actuator signal or the faulty pitch actuator signal to the generator controller.

In order to achieve the above technical problem, the fault simulation method of the wind power generation system according to the embodiment of the present invention relates to a fault simulation method of a wind power generation system including an electric motor for driving a generator, (a) fault generator Generating wind speed data by converting the wind speed data into a normal wind speed signal or a wind speed failure signal using a failure occurrence data model; (b) the motor controller controlling the rotation speed of the electric motor in response to the wind speed steady signal; And (c) controlling, by the generator controller, torque of the generator in response to the wind speed normal signal or the wind speed failure signal.

The fault simulation apparatus for a wind power generation system and the fault simulation method for a wind power generation system according to the present invention include a fault generator in addition to a blade, a rotor, and a pitch controller in place of a wind generator test. Can be used to develop algorithms (algorithms for control of wind power generation systems), or to verify (validation of control algorithms), especially in the event of failure of components (eg sensors) included in generators of wind power systems. It can be used as a test device for developing wind power generation systems. The development of a wind power generation system that is robust against failures is increasing due to the increase in wind power generation and the increase of offshore wind power generation systems. Therefore, the device proposed by the present invention can be a development tool of a wind power generation system that is robust against failures.

In addition, the fault simulation apparatus of the wind power generation system, and the fault simulation method of the wind power generation system according to the present invention, by adding a fault generator to the simulation apparatus of the wind power generation system without blades and rotors of the wind power generation system, It is possible to check the operation status of the power generation system and to design and test a system that is resistant to failure.

In addition, the present invention, the wind power simulation device having a generator connected to (coupled) to a motor simulating a blade and a rotor (that is, a simulation having a structure in which the motor and the generator combined in one set) Device, which can be used for wind turbine testing, algorithm development, or verification, and can additionally intentionally generate sensor failures and pitch actuator failures. It can be used as a developing test device.

In addition, since the simulation apparatus of the present invention includes one fault generator for generating a fault signal or a normal signal, the present invention can perform an efficient simulation of a generator of a wind power generation system, which is inexpensive in manufacturing price and compact.

In order to more fully understand the drawings used in the detailed description of the invention, a brief description of each drawing is provided.
FIG. 1 is a graph showing the power coefficient Cp 11 according to the terminal speed ratio λ 12 and the pitch angle β.
2 is a diagram illustrating a process of generating power Pgrid from wind speed Vwind.
3 is a view for explaining the output control region of the wind generator according to the wind speed (Vwind).
4 is a view illustrating a failure simulation apparatus for a wind power generation system according to an embodiment of the present invention.
FIG. 5 is a block diagram illustrating an embodiment of the failure generator 200 shown in FIG. 4.
FIG. 6 is a block diagram illustrating a failure signal (fault value) or a normal signal generated by the embodiment of the failure generator 200 shown in FIG. 4.
FIG. 7 is a diagram illustrating a method of generating the normal pitch actuator signal or the failure pitch actuator signal by the embodiment of the failure generator 200 shown in FIG. 4.

BRIEF DESCRIPTION OF THE DRAWINGS For a better understanding of the present invention and the objects attained by the practice of the invention, reference should be made to the accompanying drawings, which illustrate embodiments of the invention, and to the description in the accompanying drawings.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to embodiments of the present invention with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

Wind power generation systems (wind turbine systems) convert wind kinetic energy into electrical energy, which are blades, rotors, drive-trains (power trains), generators, pitch regulators (pitch controllers), and individual Controller (eg, yaw controller) or the like.

It is difficult for the developers of generators and generator controllers to fully equip and test the wind turbine system. Therefore, a system for rotating a generator by an electric motor instead of a blade and a rotor is used.

Power generated by the wind (P or Pblade) is shown in Equation 1 below.

[Equation 1]

In Equation 1, A is a cross section of a blade (rotary blade), Vwind is wind speed (wind speed), ρ is air density, and Cp is power coefficient.

와 피치각(β)의 함수로서 블레이드에 따라 다른 값을 가지며 아래의 [수학식2]와 같다. 상기 종단속도비(λ)의 수식에서 R은 로터(회전자)의 반지름이고 Ωr은 로터의 회전속도(회전 각속도)이다. 피치(pitch) 각은 블레이드의 경사각(뒤틀림각)을 의미한다.Power factor (Cp) is the cut-out speed ratio

It has a different value depending on the blade as a function of and the pitch angle (β), as shown in Equation 2 below. In the formula of the terminal speed ratio λ, R is the radius of the rotor (rotor) and Ωr is the rotational speed (rotational angular velocity) of the rotor. Pitch angle means the inclination angle (twist angle) of the blade.

&Quot; (2) "

이고,

이다.In Equation 2,

ego,

to be.

FIG. 1 is a graph showing the power coefficient Cp 11 according to the terminal speed ratio λ 12 and the pitch angle β.

Referring to FIG. 1, FIG. 1 shows a power coefficient according to the terminal speed ratio λ in a state in which the pitch angle β is fixed (β = 0 degrees, 5 degrees, or 10 degrees) in [Equation 2]. (Cp), the power coefficient value (Cp) is the largest and the pitch angle when the pitch angle (β) is 0 degrees, such as a curve indicated by reference numerals (13, 14, 15) As the power factor Cp decreases as the degree increases to 5 degrees and 10 degrees, the power P in Equation 1 decreases.

When the pitch angle β is 0 degrees, the terminal speed ratio λ at which the power coefficient Cp becomes maximum is 8.18, and the power coefficient Cp at that time is 0.49. The generator torque Tg at the given power P and the rotational speed Ωr of the rotor is given by Equation 3 below.

&Quot; (3) "

2 is a diagram illustrating a process of generating power Pgrid from wind speed Vwind.

Referring to FIG. 2, when the wind speed Vwind and the rotational speed Ωr of the rotor are input to Equation 1 (Equation 1), power Pblade or P is output (calculated) by Equation 1.

When the power Pblade and the rotational speed Ωr of the rotor are provided in Equation 3 (Equation 3), the generator torque Tg is calculated by Equation 3. The calculated generator torque Tg is used for generator control 21 and the generator generates power Pgrid. Power Pgrid may be supplied to a power grid (or power distribution grid) (not shown).

3 is a view for explaining an output (Pgrid) control region of the wind generator according to the wind speed (Vwind).

Referring to FIG. 3, the pitch angle of the blade in the first region 31 of the output control region of the generator is controlled at a fixed pitch angle and the generator (or the rotor connected with the generator) is at a variable speed, and the constant rated power (second The speed to be varied in order to generate the generator output power of the area 32 is as shown in Equation 4 below.

&Quot; (4) "

In [Equation 4], [lambda] ₀ is 8.18, which is the value (maximum value of pitch angle [beta] at 0 degree) that maximizes the power coefficient Cp of [Equation 2].

In the second region 32 of the output control region of the generator, the generator has a fixed speed and the pitch of the blades is controlled in a variable pitch. In order to make the power Pgrid constant in the second region 32, since the wind speed Vwind is relatively higher than the rated wind speed Vrate in [Equation 1], the power coefficient Cp of [Equation 2] The value should be reduced. For this purpose, the pitch angle of the blade is controlled to increase as shown in the graph of FIG. 1. The above-described pitch control method may be a method of controlling the conversion efficiency of the blade by controlling the pitch angle of the blade by a hydraulic device or an electric motor.

In FIG. 3, the regions except for the first region 31 and the second region 32 are less than the minimum wind speed (or start wind speed) Vcut-in or the operational wind speed (or end wind speed, maximum wind speed) for starting power generation. It may be a region corresponding to the wind speed exceeding (Vcut-out) and the region in which the operation of the wind turbine is stopped.

4 is a view illustrating a failure simulation apparatus for a wind power generation system according to an embodiment of the present invention.

Referring to FIG. 4, the failure simulation apparatus of the wind power generation system includes an electric motor 101, a generator 102, a failure generator 200, an electric motor controller 300, and a generator controller 400. The failure simulation apparatus of the wind power generation system, for example, can be applied to the simulation of the horizontal axis wind generator.

The failure simulation apparatus of the wind power generation system may further include a speed reducer 103 and a generator 104. The reducer 103 may serve as a gear reducer to reduce the rotational speed of the generator 102 to prevent overspeed (over-rotation) of the generator 104.

The generator 102 may be a double excitation generator (DFIG, douly-fed induction generator), and because the number of poles of the double excitation generator and the permanent magnet generator is different, the rotation speed for generation is different from each other. Flies In order to compensate for this, a reduction gear is installed for the permanent magnet generator 104. For example, if the number of poles of the double-excited generator is 4 poles, the number of revolutions for power generation is 1800 [rpm] or more. Power generation is possible above 300 [rpm]. Therefore, in order to compensate for the polarity difference between the two, the permanent magnet generator 104 rotates to 300 [rpm] or more when the dual exciter generator rotates more than 1800 [rpm] by installing a speed reducer of 6: 1 in the middle. do. The reducer 103 and the generator 104 may be removed (omitted) in the failure simulation apparatus of the wind power generation system according to another embodiment of the present invention.

 The electric motor 101 and the generator 102 may be connected through a power converter (drive train) for controlling power transmission, and the electric motor 101 drives the generator 102. The electric motor 101 may be, for example, a direct current motor or a squirrel cage induction motor, and the generator 102 may be a dual excitation generator 102.

The electric motor 101 replaces the blade and the rotor of the wind power generation system. The motor controller (motor driver) 300 responds to the rotational speed value Ωm (i.e., the wind speed steady signal) provided from the fault generator 200 (ie, the motor rotor). Rotation speed). The motor controller 300 is connected to the stator winding or the rotor winding of the motor 101 through vector control (using switching of the power device) in response to the speed command (command) from the failure generator 200. The speed of the electric motor 101 is controlled by adjusting the input current (current amount). The motor controller 300 may receive the rotation speed value and provide it to the generator controller 400.

The failure generator 200 may simulate (simulate) a failure of a sensor in a wind turbine system or a failure of a pitch actuator as a controller, generate a wind speed, and generate a wind speed to the motor controller 300 to control the wind speed. Provide the corresponding speed value. The failure generator 200 issues a speed command to the motor 101 through the motor controller 300. The pitch actuator may be a driving device for adjusting (adjusting) the pitch angle of the blade.

In order for the failure generator 200 to generate the wind speed, the failure generator 200 may be inputted with mathematical model data (wind speed data or wind speed model) or actual wind speed (wind speed) data for generating the wind speed. In another embodiment of the present invention, the mathematical model data or the actual wind speed data may already be stored in a memory (not shown) of the failure generator 200. The failure generator 200 may be generated by converting the wind speed data into a wind speed normal signal or a wind speed failure signal using a built-in failure generation data model.

The failure generator 200 generates the wind speed Vwind using the mathematical model data or the actual wind speed data, and then determines the rotation speed Ωm of the electric motor 101 by using Equation 5 below. .

[Equation 5]

FIG. 5 is a block diagram illustrating an embodiment of the failure generator 200 shown in FIG. 4.

Referring to FIG. 5, the failure generator 200 includes an A / D (analog-to-digital converter) 201, a digital signal processor (DSP) 202, And a digital-to-analog converter (DAC) 203.

The analog-to-digital converter 201 converts an analog input signal input to the failure generator 200 into a digital signal. The analog input signal may be, for example, mathematical model data for generating wind speed or actual wind data.

The digital signal processing apparatus 202 may generate a rotation speed value Ωm provided to the motor controller 300 by using the digital signal transmitted from the analog-digital converter 201. The digital signal processing device 202 may include a digital filter.

Since the processing speed of the digital signal processing apparatus 202 is relatively faster than the processing speed of the generator controller 400, the distorted control phenomenon may not occur in the failure simulation apparatus of the wind power generation system of the present invention.

The digital-analog converter 203 converts a digital signal output from the digital signal processing device 202 into an analog signal. The digital-to-analog converter 203 may generate an analog signal corresponding to the rotation speed value Ωm and transmit it to the motor controller 300.

Referring back to FIG. 4, when the rotor of the electric motor 101 rotates at the speed calculated by Equation 5 according to the wind speed Vwind, the generator controller 400 starts the wind speed Vcut shown in FIG. 3. If the wind speed Vwind is in the first region 31 above -in), set the pitch angle β to 0 degrees, calculate the torque reference (torque of the generator), and like the motor controller 300, The torque of the generator 102 is controlled by controlling (controlling) a current value input to the stator winding or the rotor winding of the generator 102 through switching of the power device.

The generator controller 400 controls the speed of the generator 102 constantly if the wind speed Vwind is in the second region 32 shown in FIG. 3 and the pitch angle at the power coefficient Cp of Equation 2 (β) is calculated and the pitch angle command value is transmitted to the failure generator 200. The failure generator 200 calculates a pitch value (pitch angle) through a formula for modeling a pitch actuator and transmits it to the generator controller 400. The generator controller 400 may perform the function in place of the pitch controller for adjusting the pitch angle of the blade.

The failure generation function of the failure generator 400 will be described below. The generator controller 400 uses the wind speed Vwind, the rotation speed value Ωm of the motor 101, the torque feedback sensor value (generator torque sensor value) as a result of the torque control, and the pitch angle calculated using the pitch actuator model. Receive The torque feedback sensor (not shown) may be installed inside the generator 102.

FIG. 6 is a block diagram illustrating a failure signal (fault value) or a normal signal generated by the embodiment of the failure generator 200 shown in FIG. 4.

4 and 6, the failure generator 200 (or the DSP 202 of the failure generator 200) may transmit wind speed data and an electric motor through the A / D (201 of FIG. 5) of the failure generator 200. Receives a rotational speed (Ωm) analog signal of 101 and a generator torque sensor signal and converts the received signals into a wind speed normal signal or a wind speed failure signal using built-in failure modeling data (failure generation data model). , The motor rotation speed normal signal or the motor rotation speed failure signal, and the generator torque normal signal or generator torque failure signal is output through the D / A (203 of FIG. 5) of the failure generator 200. The rotational speed (Ωm) analog signal of the motor 101 may be a signal generated by a sensor (not shown) for measuring the rotational speed installed in the motor 101.

In detail, the failure generator 200 is generated by converting the wind speed data into a wind speed normal signal or a wind speed failure signal using an internal failure occurrence data model. The wind speed data may be mathematical model data or actual wind speed data for generating the wind speed, as described above. The failure data model may be a data table implemented in a storage medium such as a ROM or a RAM, and may be a look-up table for generating a normal signal and a failure signal. The motor controller 300 controls the rotation speed of the motor 101 in response to the wind speed normal signal (that is, the rotation speed value (Ωm)). The generator controller 400 controls the torque of the generator 102 in response to the wind speed normal signal or the wind speed failure signal.

The failure generator 200 is generated by converting a sensor signal for detecting the rotational speed of the motor 101 into a motor rotational speed normal signal or a motor rotational speed failure signal using the failure generation data model. The generator controller 400 controls the torque of the generator 102 in response to the motor rotation speed normal signal or the motor rotation speed failure signal.

The failure generator 200 is generated by converting a sensor signal for detecting torque of the generator 102 into a generator torque normal signal or a generator torque failure signal using the failure generation data model. The generator controller 400 controls the torque of the generator 102 in response to the generator torque normal signal or the generator torque failure signal.

In addition, the failure generator 600 may receive sensor spare signals Spare1 to Spare N for other sensors installed in the generator 102. The other sensor may be, for example, a temperature sensor such as a thermistor, an accelerometer, or a tachometer that detects and detects heat generated when the generator 102 installed in the generator 102 is driven. may be a tachometer. The failure generator 200 may generate a sensor signal (any one of Spare 1 to Spare N) which senses an internal driving state (internal operating state such as an internal temperature or an acceleration of the generator) of the generator 102. It is generated by converting the sensor normal signal or the sensor failure signal using the model. The generator controller 400 controls the torque of the generator 102 in response to a sensor normal signal or a sensor failure signal (any one of a Spar 1 normal signal or a Spare 1 failure signal to a Spare N normal signal or a Spare N failure signal).

The failure occurrence data model may be modeled in the following manner.

In the first method, when the normal signal is S (t), which is a value that changes over time, the failure signal is modeled (set) to be fixed at a constant constant Sc value. In the second method, when the normal signal is S (t), the failure signal is modeled to be S (t) + Soffset value (that is, a constant offset is added to the normal signal value). In the third method, when the normal signal is S (t), the failure signal is modeled to be an S (t) * K value (ie, a value obtained by multiplying the normal signal value by a constant gain K). In the fourth method, when the normal signal is S (t), the failure signal is a S (t) + random (t) value (i.e., a random signal according to the change of time beyond the allowable range for generating a failure in the normal signal value). Added value).

In detail, the failure occurrence data model includes the wind speed failure signal regardless of the normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. The fault signal value including the motor rotation speed fault signal, the generator torque fault signal, or the sensor fault signal may be set to a constant value.

The fault occurrence data model may include a constant value added to a constant signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal, and the wind speed failure signal. It may be set to a failure signal value including the motor rotation speed failure signal, the generator torque failure signal, or the sensor failure signal.

The fault occurrence data model may be configured to multiply a normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal by a constant value (gain) to determine the wind speed failure. It may be set to a failure signal value including a signal, the motor rotation speed failure signal, the generator torque failure signal, or the sensor failure signal.

The failure occurrence data model may include a random signal value according to a change in time over an allowable range to a normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. The (added) value may be set to a failure signal value including the wind speed failure signal, the motor rotation speed failure signal, the generator torque failure signal, or the sensor failure signal.

The generator controller 400 receives a failure signal or a normal signal (for example, a wind speed failure signal or a wind speed normal signal) and uses the internal failure determination algorithm to output the generator 102 to the output control region shown in FIG. 3. It can be controlled to correspond to the control method of.

5 and 6, an embodiment of the configuration in which the failure generator 200 generates a normal signal and a failure signal will be described as follows.

The analog-to-digital converter 201 of the fault generator 200 may include wind speed data, a sensor signal for detecting a motor rotation speed, a sensor signal for detecting a generator torque, or a sensor signal for sensing an internal driving state of the generator ( The analog signal of any one of Spare 1 to Spare N) is converted into a digital signal.

The digital signal processing device 202 performs digital signal processing (digital calculation processing) on the digital signal output from the analog-to-digital converter 201 by using the failure generation data model.

The digital-to-analog converter 203 converts a signal output from the digital signal processing device 202 into an analog signal to convert the converted wind speed normal signal, motor rotation speed normal signal, generator torque normal signal, sensor normal signal, and wind speed. A failure signal, a motor rotation speed failure signal, a generator torque failure signal, or a sensor failure signal is provided to the generator controller 400.

FIG. 7 is a diagram illustrating a method of generating the normal pitch actuator signal or the failure pitch actuator signal by the embodiment of the failure generator 200 shown in FIG. 4.

Referring to FIG. 7, the failure generator 200 includes a first transfer function unit 211, a second transfer function unit 212, a third transfer function unit 213, and a first switch 214. , And a second switch 215. The first transfer function unit 211, the second transfer function unit 212, and the third transfer function unit 213 may be a storage medium such as a ROM or a RAM.

Pitch actuators included in wind power systems operate using motors or hydraulics, and if the motor breaks down or there is a failure such as oil shortage in the hydraulics or air injection into the hydraulic circuit, the output value for the same reference (same actuator drive signal) The phenomenon may be changed. Such a phenomenon may be implemented (modeled) by different transfer functions in the failure generator 200.

The transfer function of the first transfer function unit 211 is a second model of abnormal (failure) actuator operation. The transfer function of the second transfer function unit 212 is a value that is primarily modeled as an abnormal actuator operation. The transfer function of the third transfer function unit 213 is a value obtained by primarily modeling a normal actuator operation.

The controller (not shown) included in the failure generator 200 controls the first and second switches 214 and 215 to select one of the first transfer function and the second transfer function to cause a failure pitch actuator signal (fault pitch). After generating the actuator value, the normal pitch actuator value and the abnormal (failure) pitch actuator value are transmitted to the generator controller 400 via the D / A (203 of FIG. 5).

In detail, the failure generator 200 is output from the generator controller 400 and in response to the pitch command for adjusting the pitch angle of the blade of the wind power generation system, the normal pitch associated with the driving of the pitch actuator for adjusting the pitch angle. An actuator signal (normal pitch actuator value) or faulty pitch actuator signal (failure pitch actuator value) is generated using a data model (e.g., a transfer function data model) that mathematically models the pitch actuator. The generator controller 400 controls the torque (torque of the generator rotor) of the generator 102 so as to correspond to the control scheme of the output control region shown in FIG. 3 in response to the normal pitch actuator signal or the faulty pitch actuator signal. .

The failure generator 200 generates a failure pitch actuator signal by using a first transfer function or a second transfer function that models a failure of the pitch actuator.

5 and 7, an embodiment of a configuration in which the failure generator 200 generates a normal signal and a failure signal will be described as follows.

The analog-to-digital converter 201 of the failure generator 200 converts the analog signal of the pitch command into a digital signal.

The digital signal processing apparatus 202 processes the digital signal output from the analog-to-digital converter 201 by using a transfer function data model, which is a data model that models the pitch actuator.

The digital-to-analog converter 203 converts the signal output from the digital signal processing device 202 into an analog signal and provides the converted normal pitch actuator signal or the faulty pitch actuator signal to the generator controller 400.

As described above, the present invention proposes a method of simulating and testing a failure of a sensor, a failure of a pitch actuator, and the like by including a failure generator having an additional function in a wind power generation system simulation device including a motor and a generator. More specifically, the fault generator signal (modeled) along with the normal sensor signal or the normal pitch actuator operation signal by additionally configuring a controller (failure generator) with a digital signal processing device in the wind power simulation device comprising a motor and a generator. And fault pitch actuator signal to the generator controller. The generator controller may receive a fault signal or a normal signal and perform a corresponding control operation.

As described above, the embodiments have been disclosed in the drawings and specification. Although specific terms are used herein, they are used for the purpose of describing the present invention only and are not used to limit the scope of the present invention described in the claims or the claims. Therefore, it will be understood by those skilled in the art that various modifications and equivalent embodiments are possible from the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

101: electric motor
102: generator
200: fault generator
201: A / D
202: DSP
203: D / A
211: first transfer function part
212: second transfer function
213: third transfer function
214: first switch
215: second switch
300: motor controller
400: generator controller

Claims (14)

In the failure simulation apparatus of the wind power generation system including an electric motor driving a generator,
A failure generator generated by converting the wind speed data into a wind speed steady signal or a wind speed failure signal using a failure occurrence data model;
An electric motor controller for controlling the rotational speed of the electric motor in response to the wind speed steady signal; And
And a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal.
The failure generator is generated by converting a sensor signal for detecting the rotational speed of the motor into a motor rotational speed normal signal or a motor rotational speed failure signal using the failure occurrence data model,
The generator controller is a failure simulation apparatus of the wind power generation system for controlling the torque of the generator in response to the motor speed normal signal or the motor speed error signal. The method of claim 1,
The wind speed data is a fault simulation apparatus for a wind power generation system that is a mathematical model data or actual wind speed data for generating wind speed. delete In the failure simulation apparatus of the wind power generation system including an electric motor driving a generator,
A failure generator generated by converting the wind speed data into a wind speed steady signal or a wind speed failure signal using a failure occurrence data model;
An electric motor controller for controlling the rotational speed of the electric motor in response to the wind speed steady signal; And
And a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal.
The failure generator is generated by converting a sensor signal for detecting the torque of the generator into a generator torque normal signal or a generator torque failure signal using the failure generation data model,
The generator controller is a failure simulation apparatus of the wind power generation system for controlling the torque of the generator in response to the generator torque normal signal or the generator torque failure signal. In the failure simulation apparatus of the wind power generation system including an electric motor driving a generator,
A failure generator generated by converting the wind speed data into a wind speed steady signal or a wind speed failure signal using a failure occurrence data model;
An electric motor controller for controlling the rotational speed of the electric motor in response to the wind speed steady signal; And
And a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal.
The fault generator is generated by converting a sensor signal sensing the internal driving state of the generator into a sensor normal signal or a sensor fault signal using the fault occurrence data model,
The generator controller is a failure simulation apparatus of the wind power generation system for controlling the torque of the generator in response to the sensor normal signal or the sensor failure signal. The method according to any one of claims 1, 2, 4, and 5,
The fault occurrence data model includes the wind speed failure signal and the motor rotation speed failure signal irrespective of the normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. And a failure simulation apparatus for a wind power generation system that sets a failure signal value including the generator torque failure signal or the sensor failure signal to a constant value. The method according to any one of claims 1, 2, 4, and 5,
The fault occurrence data model may include a constant value added to a constant signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal, and the wind speed failure signal. A fault simulation apparatus for a wind power generation system that sets a fault signal value including a motor rotation speed fault signal, the generator torque fault signal, or the sensor fault signal. The method according to any one of claims 1, 2, 4, and 5,
The fault occurrence data model may include the wind speed fault signal, the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the normal signal value including the sensor normal signal multiplied by a constant value. A fault simulation apparatus for a wind power generation system that sets a fault signal value including a motor rotation speed fault signal, the generator torque fault signal, or the sensor fault signal. The method according to any one of claims 1, 2, 4, and 5,
The failure occurrence data model may be configured to add a random signal value according to a change of time to a normal signal value including the wind speed normal signal, the motor rotation speed normal signal, the generator torque normal signal, or the sensor normal signal. A fault simulation apparatus for a wind power generation system that sets a fault signal value including a wind speed fault signal, the motor rotation speed fault signal, the generator torque fault signal, or the sensor fault signal. The method according to any one of claims 1, 2, 4, and 5,
The fault generator,
An analog-to-digital converter configured to convert an analog signal of the wind speed data, a sensor signal sensing the motor rotation speed, a sensor signal sensing the generator torque, or a sensor signal sensing the internal driving state of the generator into a digital signal;
A digital signal processing device for digitally processing the digital signal output from the analog-digital converter by using the failure generation data model; And
And a digital-to-analog converter for converting a signal output from the digital signal processing device into an analog signal and providing it to the generator controller. In the failure simulation apparatus of the wind power generation system including an electric motor driving a generator,
A failure generator generated by converting the wind speed data into a wind speed steady signal or a wind speed failure signal using a failure occurrence data model;
An electric motor controller for controlling the rotational speed of the electric motor in response to the wind speed steady signal; And
And a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal.
The fault generator outputs a normal pitch actuator signal or fault pitch actuator signal associated with driving the pitch actuator for adjusting the pitch angle in response to a pitch command for outputting from the generator controller and adjusting the pitch angle of the blade of the wind power generation system. Generated using a data model modeling the pitch actuator,
The generator controller is a failure simulation apparatus of the wind power generation system for controlling the torque of the generator in response to the normal pitch actuator signal or the faulty pitch actuator signal. 12. The method of claim 11,
The fault generator is a failure simulation apparatus of the wind power generation system for generating the fault pitch actuator signal using a first transfer function or a second transfer function modeling the failure of the pitch actuator. 12. The method of claim 11,
The fault generator,
An analog-digital converter for converting the analog signal of the pitch command into a digital signal;
A digital signal processing device for digitally processing the digital signal output from the analog-to-digital converter using a transfer function data model which is a data model that models the pitch actuator; And
And a digital-to-analog converter for converting the signal output from the digital signal processing device into an analog signal and providing the normal pitch actuator signal or the faulty pitch actuator signal to the generator controller. In the failure simulation method of a wind power generation system including an electric motor driving a generator,
(a) generating, by the fault generator, converting the wind speed data into a wind speed steady signal or a wind speed failure signal using the failure occurrence data model;
(b) a motor controller controlling the rotation speed of the motor in response to the wind speed steady signal; And
(c) a generator controller controlling torque of the generator in response to the wind speed normal signal or the wind speed failure signal;
The failure generator is generated by converting a sensor signal for detecting the rotational speed of the motor into a motor rotational speed normal signal or a motor rotational speed failure signal using the failure occurrence data model,
And the generator controller controls the torque of the generator in response to the motor rotation speed normal signal or the motor rotation speed failure signal.

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