Self-adaptive control method for power fluctuation suppression and frequency adjustment of wind turbine generator
Technical Field
The invention belongs to the field of frequency regulation of a wind turbine participating system, and particularly relates to a self-adaptive control method for power fluctuation suppression and frequency regulation of a wind turbine.
Background
In recent years, the global wind power installation capacity is continuously improved, and as more wind power generator sets are directly integrated into a power grid, the interaction between a fan and the power grid is more and more complex.
In wind power generation technology, doubly-fed induction-based wind power generation sets are widely adopted due to their high efficiency over a wide range of wind speeds. However, uncertainty and intermittence of wind energy, as well as asynchronous grid connection of doubly-fed induction wind turbine generator sets, exacerbate fluctuations in wind power output. In addition, under the condition of high wind power popularity, rapid fluctuation of wind power output can also cause severe change of frequency, so that stability of a system is damaged. In this case, smoothing the output power of the wind turbine and providing frequency adjustment become two important goals of smooth operation of the wind turbine and safe operation of the power system.
At present, the doubly-fed induction wind generating set can utilize the kinetic energy of the rotor to participate in primary frequency modulation, and the kinetic energy of the rotor can also be utilized to smooth the wind power output power. However, the former uses the frequency deviation as a control signal to reduce the system frequency deviation, and the latter alleviates power fluctuation according to the output power of the wind generating set, so that how to realize coordination and smooth transition between the two is a difficult problem.
Therefore, a control method for smoothing the output power fluctuation of the wind generating set and participating in primary frequency modulation of the power grid by utilizing the potential of the wind generating set is needed, and smooth control and smooth transition of frequency adjustment can be realized.
Disclosure of Invention
The purpose of the invention is that: the self-adaptive control method for suppressing the power fluctuation and adjusting the frequency of the wind turbine generator is provided, smooth transition between the power fluctuation and the frequency adjustment is realized through unified control signals, so that the wind power fluctuation is suppressed, and meanwhile, the frequency quality of a system is improved.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
The self-adaptive control system for suppressing power fluctuation and adjusting frequency of the wind turbine comprises a wind turbine aerodynamic calculation module, a pitch angle controller, a doubly-fed induction generator model, a load shedding control module and an additional control loop, wherein the additional control loop is input into a power grid frequency deviation, outputs an active reference signal for self-adaptive control, and is output and connected into a fan; the additional control loop is an adaptive controller, and the adaptive controller realizes adaptive switching in droop control and wind power smoothing control through membership functions.
The membership functions are as follows:
δ(z)=1-μ(z)
Wherein: μ (z) is a membership function, δ (z) is a membership function representing wind power smoothing control, z= |Δf| represents an absolute value of real-time frequency deviation, a is a membership function conversion parameter, the conversion speed of the two is controlled, and Δf h is a set frequency deviation dead zone.
The control method of the self-adaptive control system for wind turbine generator power fluctuation suppression and frequency adjustment comprises the following steps:
(1) Collecting the power grid frequency f meas in real time, and calculating the power grid frequency deviation delta f;
(2) Performing load shedding control calculation on the wind turbine generator to obtain a stable load shedding operation active reference value;
(3) Implementing adaptive control in an additional control loop of the wind generating set control system, wherein droop control in the adaptive control takes a dominant role when the system frequency deviation is larger than a set frequency deviation dead zone, and otherwise, wind power smoothing control in the adaptive control takes a main role;
(4) The adaptive switching is realized in droop control and wind power smoothing control through membership functions so as to change the active power signal of the adaptive control;
(5) Under the action of load shedding control, kinetic energy stored in a rotor of the wind generating set is utilized to coordinate the wind generating set to participate in primary frequency modulation and smooth output power fluctuation, so that the active output of the wind generating set is changed.
The load shedding control model is as follows:
when the load shedding operation amount is set to k delPmax, the load shedding power is as follows:
Pdel=(1-kdel)Pmax
Wherein P max is the maximum power of the wind driven generator, and k del is the ratio of the load shedding operation amount to the maximum power.
If the rotation speed is moved from omega del to omega max, the mechanical power captured by the wind turbine generator is also changed from P del to P max; when the rotational speed is between ω del and ω max, the active reference value for the derated operation of the generator is calculated as follows:
Wherein: p del is the load shedding power, omega del is the rotating speed corresponding to the load shedding power, and omega max is the rotating speed corresponding to the maximum power of the fan.
The sagging control calculation mode is as follows:
Where K 1 is the droop coefficient and Δf t is the frequency deviation.
The wind power fluctuation stabilizing control calculation mode is as follows:
in the formula, The wind power output power is the wind power; t f is the filter constant.
The active reference signal of the self-adaptive control is a weighted average value of the active reference signals of the droop control and the wind power fluctuation stabilizing control, and the calculation mode is as follows:
the active power output of the wind turbine generator is as follows:
Wherein: For an active reference value of the load shedding control, Is an active reference signal for adaptive control.
The beneficial effects obtained by the invention are as follows:
The kinetic energy stored in the doubly-fed induction wind driven generator rotor is utilized to implement self-adaptive control in an additional control loop of a wind turbine generator control system, self-adaptive switching is realized in droop control and wind power smooth control through membership functions, coordination control of wind turbine generator output smooth control and frequency droop control under any wind power permeability and different wind speeds of medium, high and low is realized, system frequency quality is effectively improved, and fluctuation of wind turbine generator output power is restrained.
Drawings
FIG. 1 is a schematic diagram of an adaptively controlled wind turbine control framework.
FIG. 2 is a schematic diagram of wind power smoothing control based on a first order low pass filter.
FIG. 3 is a schematic diagram of wind turbine frequency droop control.
FIG. 4 is a schematic diagram of an adaptive strategy wind turbine additional loop control.
Fig. 5 is a schematic diagram of membership functions.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular and non-limiting detailed description of the invention will be rendered by reference to the appended drawings and appended detailed description.
The embodiment of the invention relates to an adaptive control method embodiment for power fluctuation suppression and frequency adjustment of a wind turbine generator. The method comprises the following steps:
(1) Collecting the power grid frequency f meas in real time, and calculating the power grid frequency deviation delta f;
(2) Performing load shedding control calculation on the wind turbine generator to obtain a stable load shedding operation active reference value;
(3) Implementing adaptive control in an additional control loop of the wind generating set control system, wherein droop control in the adaptive control takes a dominant role when the system frequency deviation is larger than a set frequency deviation dead zone, and otherwise, wind power smoothing control in the adaptive control takes a main role;
(4) The adaptive switching is realized in droop control and wind power smoothing control through membership functions so as to change the active power signal of the adaptive control;
(5) Under the action of load shedding control, kinetic energy stored in a rotor of the wind generating set is utilized to coordinate the wind generating set to participate in primary frequency modulation and smooth output power fluctuation, so that the active output of the wind generating set is changed.
The control framework of the self-adaptive control method for wind turbine generator power fluctuation suppression and frequency adjustment is shown in the attached figure 1, and specifically comprises the following steps: a wind turbine aerodynamic module, a pitch angle controller, a doubly fed induction generator model, a load shedding module, and an additional control loop module. The schematic diagram of the adaptive strategy implemented in the additional control loop is shown in fig. 4, the schematic diagram of the wind power smoothing control in the adaptive control is shown in fig. 2, and the frequency droop control is shown in fig. 3.
In the aerodynamic module of the wind turbine, the wind turbine converts wind energy into mechanical energy and then drives the fan blades to rotate. The mechanical power captured by the wind turbine can be calculated by an aerodynamic model as follows:
Wherein ρ is the atmospheric density; a is the area swept by the rotation of the fan blade; u w is the wind speed of the wind turbine; c P (lambda, beta) is the wind energy utilization coefficient; lambda is the tip speed ratio; beta is the pitch angle.
The wind energy utilization coefficient C P (λ, β) is calculated as follows:
Wherein,
Wherein omega r is the rotation speed; and r is the radius of the fan blade.
In the pitch angle controller, the wind energy capturing capacity of the wind turbine generator is adjusted by changing the pitch angle. The pitch angle control system consists of two parts: 1) A PI control system; 2) And a feedback control system. The difference between the actual rotor speed and the reference speed obtains a reference pitch angle through a PI control system, and the difference between the actual pitch angle and the reference pitch angle is an input signal of a feedback control system. Wherein, the input signal of pitch angle controller is:
Wherein: t mec is the measured mechanical torque.
The shafting system model of the doubly-fed induction generator is as follows:
Wherein omega r is the rotation speed; t m is the mechanical torque; t e is electromagnetic torque; h is the inertia constant.
The load shedding operation module model of the wind driven generator is as follows: when the load shedding operation amount is set to k delPmax, the load shedding power is as follows:
Pdel=(1-kdel)Pmax
Wherein P max is the maximum power of the wind driven generator, and k del is the ratio of the load shedding operation amount to the maximum power.
If the rotation speed is moved from omega del to omega max, the mechanical power captured by the wind turbine generator is also changed from P del to P max; when the rotational speed is between ω del and ω max, the active reference value for the derated operation of the generator is calculated as follows:
Wherein: p del is the load shedding power, omega del is the rotating speed corresponding to the load shedding power, and omega max is the rotating speed corresponding to the maximum power of the fan.
The adaptive control implemented in the additional control loop is as follows:
The control area divided by the membership functions for wind power smooth control and sagging control is shown in fig. 5, wherein the membership functions are as follows:
δ(z)=1-μ(z)
Wherein: μ (z) is a membership function representing frequency droop control, δ (z) is a membership function representing wind power smoothing control, z= |Δf| represents an absolute value of real-time frequency deviation, a is a membership function conversion parameter, the conversion speed of the two is controlled, and Δf h is a set frequency deviation dead zone.
The frequency droop control in the adaptive strategy is shown in fig. 2, and the active reference signal is calculated as follows:
The frequency deviation is given by:
in the formula, Is a frequency measurement; f nom is the frequency rating. Thus, the droop control active reference signal is:
where K 1 is the sag factor.
The wind power fluctuation stabilizing control in the self-adaptive strategy is shown in fig. 3, and the active reference signals are calculated as follows:
in the formula, The wind power output power is the wind power; t f is the filter constant.
The whole control framework of the self-adaptive control is shown in fig. 4, the active reference signal is a weighted average value of the active reference signals of droop control and wind power fluctuation stabilizing control, the weight is determined by a membership function, and the following calculation is performed:
after the active reference signals of the self-adaptive strategy are introduced into active power control, the active output of the wind turbine is as follows:
Wherein: For an active reference value of the load shedding control, Is an active reference signal for adaptive control.
In summary, it is shown that: the invention provides a self-adaptive control method for suppressing power fluctuation and adjusting frequency of a wind turbine, which utilizes kinetic energy stored in a rotor of a doubly-fed induction wind turbine to implement self-adaptive control in an additional control loop of a wind turbine control system, and realizes self-adaptive switching in droop control and wind power smooth control through membership functions, thereby realizing coordinated control of wind turbine output smooth control and frequency droop control, effectively improving system frequency quality and suppressing wind turbine output power fluctuation.
It should be noted that the foregoing description is only a preferred embodiment of the present invention, and is intended to illustrate the technical concept and features of the present invention, but not to limit the scope of the present invention. All equivalent changes or modifications made in accordance with the spirit of the present invention should be construed to be included in the scope of the present invention.