CN119686932B - A control method, system and device based on wind turbine operation - Google Patents
A control method, system and device based on wind turbine operation Download PDFInfo
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Abstract
The invention discloses a control method, a system and equipment based on the operation of a wind turbine, and relates to the technical field of wind power generation control. The control method based on the operation of the wind turbine generator comprises the following steps of obtaining a wind speed influence index, obtaining a power generation evaluation index and obtaining a load evaluation index. According to the method, the wind turbine data and the wind speed influence index are obtained through monitoring the wind turbine in real time, whether the wind speed influence index is larger than the preset wind speed evaluation threshold value is judged, when the wind speed influence index is not larger than the preset wind speed evaluation threshold value, the power generation evaluation index is obtained, whether the power generation amount is adjusted is judged, and when the wind speed influence index is larger than the preset wind speed evaluation threshold value, the load evaluation index is obtained, whether the load adjustment is carried out is judged, so that the effect of improving the accuracy of controlling the safe operation of the wind turbine is achieved, and the problem that the safety operation of the wind turbine is controlled inaccurately in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of wind power generation control, in particular to a control method, a system and equipment based on operation of a wind turbine generator.
Background
The wind power generation is a process of driving a wind generating set to rotate by utilizing wind energy and driving a generator to generate electricity through a rotating rotor. In order to improve the power generation efficiency and reliability of the wind generating set, the operation of the wind generating set needs to be accurately controlled. This includes controlling the rotational speed, blade angle, grid connection, etc. of the wind power generator set to optimize the efficiency of the wind energy utilization and to ensure the safety and stability of the power transfer. The rotational speed of the wind generating set directly affects the output power of the generator and the stability of the power grid. By controlling the rotating speed, the wind generating set can achieve the optimal generating efficiency under different wind speeds. The rotation speed control technology generally adopts two modes of pitch control and variable frequency control. With the advancement of technology and the increase of demand, efficient wind power generation control technology is also evolving and improving continuously. For example, by utilizing artificial intelligence and big data analysis technology, intelligent wind power generation control can be realized, and the self-adaptive capacity and efficiency of the generator set are improved. In addition, with the rapid development of new energy industries and the global increase of clean energy demands, wind power generation control technologies will pay more attention to innovative, efficient and intelligent development.
The existing method is mainly based on a control mode of adjusting the rotating speed of the wind generating set according to the change of wind speed. At low wind speeds, the rotational speed of the wind generating set is lower to ensure that the set obtains enough starting wind speed, and at high wind speeds, the rotational speed is gradually increased to improve the generating efficiency of the wind generating set.
The invention patent application with the publication number of CN117072376A discloses an operation control method of a double-wind-wheel wind turbine, which comprises the steps of obtaining the rotating speeds and the pitch angles of a front wind wheel and a rear wind wheel of the double-wind-wheel wind turbine at the current wind speed, determining the target rotating speeds and the pitch angles of the front wind wheel and the rear wind wheel of the double-wind-wheel wind turbine at the current wind speed by taking the total output power of the double-wind-wheel wind turbine as a target, respectively establishing a linearization model of a front wind-wheel transmission chain and a rear wind-wheel transmission chain based on a state space, introducing a state observer, an interference regulation controller and a quadratic regulator based on the linearization model, designing a torque controller and a pitch controller of the front wind wheel and the rear wind wheel, and realizing control of the front wind wheel and the rear wind wheel.
The invention patent application with the publication number of CN114483451A discloses a method for controlling the operation of a direct-drive wind turbine generator fan, which comprises the steps of collecting historical operation parameter information of the direct-drive wind turbine generator fan, extracting fan operation state information under different environments, judging relevant parameter values when the fan has operation faults according to the fan operation state information under different environments, constructing a linear function model by utilizing the relevant parameter values, monitoring real-time operation parameters of the direct-drive wind turbine generator fan, and when the deviation degree of the real-time operation parameters of the fan and the corresponding parameters in the linear function model is higher than a preset threshold value, mobilizing a fan operation regulation control mechanism to maintain stable operation of the direct-drive wind turbine generator fan.
However, in the process of implementing the technical scheme of the embodiment of the application, the application discovers that the above technology has at least the following technical problems:
in the prior art, as the software architecture adopted by the wind farm control system is older, the communication faults of the field units and the faults caused by module aging and damage frequently occur, the wind turbines cannot stably run at the rated wind speed, and the problem of inaccurate safe running of the wind turbines is caused.
Disclosure of Invention
The embodiment of the application solves the problem of inaccurate control of the safe operation of the wind turbine generator in the prior art by providing the control method, the system and the equipment based on the operation of the wind turbine generator, and realizes the improvement of the accuracy of the safe operation of the wind turbine generator.
The embodiment of the application provides a control method based on wind turbine running, which comprises the following steps of S1, monitoring wind turbine data in real time through a preset sensing device, obtaining a wind speed influence index according to the wind turbine data and reference wind turbine data, wherein the wind speed influence index is used for evaluating the influence degree of wind speed on safe running of the wind turbine, S2, judging whether the wind speed influence index is larger than a preset wind speed evaluation threshold value, obtaining a power generation evaluation index when the wind speed influence index is not larger than the preset wind speed evaluation threshold value, judging whether power generation amount adjustment is carried out based on the power generation evaluation index, wherein the power generation amount adjustment is used for adjusting the power generation evaluation index to be not smaller than the preset power generation threshold value, the power generation evaluation index is used for evaluating the power generation condition of the wind turbine, S3, obtaining a load evaluation index when the wind speed influence index is larger than the preset wind speed evaluation threshold value, judging whether load adjustment is carried out or not based on the load evaluation index, wherein the load adjustment is used for adjusting the load evaluation index to be not larger than the preset load threshold value, and the load evaluation index is used for evaluating the load condition of the wind turbine.
The method comprises the specific steps of acquiring wind turbine data through monitoring the wind turbine in real time through a preset sensing device, wherein the wind turbine is obtained by measuring the wind turbine through a deployed wind speed sensor, the wind speed sensor is used for providing real-time wind speed information, the wind turbine is measured through a deployed laser displacement sensor to obtain the impeller radius, the preset sensing device comprises a wind speed sensor and a laser displacement sensor, the wind turbine data comprises the wind speed of the wind turbine and the impeller radius, and the impeller radius represents the distance from the rotation axis to the center point of the blade tip of the wind turbine.
The method comprises the specific processes of obtaining wind speed influence indexes according to wind turbine data and reference wind turbine data, wherein the specific processes comprise the steps of carrying out ratio calculation on the obtained wind speed of the wind turbine and a preset maximum wind speed threshold value to obtain a wind speed deviation ratio, obtaining initial pneumatic damping force by combining the wind speed of the wind turbine, the radius of an impeller, the air density and a resistance coefficient, wherein the initial pneumatic damping force is used for reflecting the resistance condition of the wind turbine in air, carrying out ratio calculation on the initial pneumatic damping force and the preset maximum damping force threshold value to obtain a pneumatic damping force deviation ratio, and obtaining the wind speed influence indexes by combining the wind speed deviation ratio and the pneumatic damping force deviation ratio, and the reference wind turbine data comprises the preset maximum damping force threshold value, the preset maximum wind speed threshold value, the air density and the resistance coefficient.
Further, the limit expression of the wind speed influence index is as follows:
;
;
;
In the formula, The wind speed influence index of the wind turbine generator at the ith preset time point is represented,I denotes the number of the preset time points, k denotes the total number of the preset time points,The wind speed deviation ratio of the wind turbine generator set at the ith preset time point is represented,The aerodynamic damping force deviation ratio of the wind turbine generator at the ith preset time point is represented,The wind speed of the wind turbine at the ith preset time point of the wind turbine is represented,The impeller radius of the wind turbine at the ith preset time point is represented,The air density is indicated as such,Represents the coefficient of resistance and,Indicating a preset maximum damping force threshold value,Representing a preset maximum wind speed threshold, e representing a natural constant.
Further, the specific process of acquiring the power generation evaluation index comprises the steps of acquiring initial wind energy density by combining the acquired air density with the wind speed of the wind turbine, wherein the initial wind energy density is used for reflecting the power generation condition of the wind turbine, carrying out addition operation on the initial wind energy density and a preset maximum wind energy density threshold value to acquire an initial wind energy density deviation value, representing the result of addition operation on the initial wind energy density deviation value by the initial wind energy density and the preset maximum wind energy density threshold value, carrying out ratio calculation on the initial wind energy density deviation value and the preset maximum wind energy density threshold value which is 2 times, acquiring a wind energy density deviation ratio, wherein the wind energy density deviation ratio is used for reflecting the deviation condition generated by the electric energy of the wind turbine, and acquiring the power generation evaluation index by combining the wind energy density deviation ratio and the wind speed influence index which is not greater than the preset wind speed evaluation threshold value.
Further, the specific process of acquiring the load evaluation index comprises the steps of acquiring an initial wind load by combining the acquired air density, the impeller radius and the wind speed of the wind turbine, wherein the initial wind load is used for reflecting the pressure condition of air flow on the wind turbine, acquiring an initial load deviation value by carrying out addition operation on the initial wind load and a preset maximum load threshold value, wherein the initial load deviation value is represented by the result of the addition operation on the initial wind load and the preset maximum load threshold value, carrying out ratio operation on the initial load deviation value and the preset maximum load threshold value which is 2 times of the initial load deviation value, acquiring a load deviation ratio, wherein the load deviation ratio is used for reflecting the pressure deviation condition of air flow on the wind turbine, and acquiring the load evaluation index by combining the load deviation ratio and the wind speed influence index which is larger than the preset wind speed evaluation threshold value.
The embodiment of the application provides a control system based on wind turbine running, which comprises a wind speed influence evaluation module, a power generation evaluation module and a load evaluation module, wherein the wind speed influence evaluation module is used for monitoring wind turbine data in real time through a preset sensing device, acquiring a wind speed influence index according to the wind turbine data and reference wind turbine data, wherein the wind speed influence index is used for evaluating the influence degree of wind speed on wind turbine safe running, the power generation evaluation module is used for judging whether the wind speed influence index is larger than a preset wind speed evaluation threshold value, acquiring the power generation evaluation index when the wind speed influence index is not larger than the preset wind speed evaluation threshold value, judging whether power generation amount adjustment is carried out based on the power generation evaluation index, the power generation adjustment is used for adjusting the power generation evaluation index to be not lower than the preset power generation threshold value, the power generation evaluation index is used for evaluating the power generation condition of the wind turbine, and the load evaluation module is used for acquiring the load evaluation index when the wind speed influence index is larger than the preset wind speed evaluation threshold value, judging whether load adjustment is carried out based on the load evaluation index, and the load adjustment is used for adjusting the load evaluation index to be not larger than the preset load threshold value.
The embodiment of the application provides electronic equipment, which comprises a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic equipment is triggered to execute the control method based on the running of a wind turbine.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. The method comprises the steps of monitoring a wind turbine in real time through a preset sensing device to obtain wind turbine data and wind speed influence indexes, judging whether the wind speed influence indexes are larger than a preset wind speed evaluation threshold value, obtaining a power generation evaluation index and judging whether power generation capacity adjustment is carried out when the wind speed influence indexes are not larger than the preset wind speed evaluation threshold value, obtaining a load evaluation index and judging whether load adjustment is carried out when the wind speed influence indexes are larger than the preset wind speed evaluation threshold value, so that the running state of the wind turbine is dynamically monitored, the safety running accuracy of the wind turbine is improved, and the problem that the safety running of the wind turbine is inaccurate in the prior art is effectively solved.
2. The wind speed of the wind turbine is measured through the deployed wind speed sensor, and then the wind turbine is measured through the deployed laser displacement sensor to obtain the impeller radius, so that the accuracy of acquiring the running data of the wind turbine is improved, and the reliability of acquiring the running data of the wind turbine is improved.
3. The wind speed influence indexes are obtained by combining the wind speed deviation ratio and the pneumatic damping force deviation ratio, then the wind energy density deviation ratio and the wind speed influence indexes which are not more than a preset wind speed evaluation threshold value are combined to obtain the power generation evaluation indexes, and finally the load evaluation indexes are obtained by combining the load deviation ratio and the wind speed influence indexes which are more than the preset wind speed evaluation threshold value, so that the accurate quantification of the operation of the wind turbine generator is controlled, and the improvement of the operation effectiveness of the wind turbine generator is further realized.
Drawings
FIG. 1 is a flowchart of a control method based on wind turbine operation provided by an embodiment of the application;
FIG. 2 is a general flow chart provided by an embodiment of the present application;
FIG. 3 is a control flow chart of a master control system according to an embodiment of the present application;
FIG. 4 is a graph showing the variation statistics of the wind speed impact index according to the embodiment of the present application, wherein (a) is a graph showing the wind speed deviation ratio, and (b) is a graph showing the aerodynamic damping force deviation ratio;
Fig. 5 is a schematic structural diagram of control based on operation of a wind turbine according to an embodiment of the present application.
Detailed Description
The embodiment of the application solves the problem of inaccurate safe operation of a wind turbine generator in the prior art by providing a control method, a system and equipment based on the operation of the wind turbine generator, monitors the wind turbine generator in real time through a preset sensing device to obtain wind turbine generator data, then obtains a wind speed influence index according to the wind turbine generator data and reference wind turbine generator data, then judges whether the wind speed influence index is larger than a preset wind speed evaluation threshold value, obtains a power generation evaluation index when the wind speed influence index is not larger than the preset wind speed evaluation threshold value, judges whether to adjust the power generation amount based on the power generation evaluation index, obtains a load evaluation index when the wind speed influence index is larger than the preset wind speed evaluation threshold value, judges whether to adjust the load based on the load evaluation index, and realizes the improvement of the safe operation accuracy of the wind turbine generator.
The technical scheme in the embodiment of the application aims to solve the problem of inaccurate safe operation of the control wind turbine generator, and the overall thought is as follows:
the method comprises the steps of acquiring wind turbine data and wind speed influence indexes through a real-time monitoring wind turbine, judging whether the wind speed influence indexes are larger than a preset wind speed evaluation threshold, acquiring a power generation evaluation index and judging whether power generation capacity adjustment is carried out when the wind speed influence indexes are not larger than the preset wind speed evaluation threshold, and acquiring a load evaluation index and judging whether load adjustment is carried out when the wind speed influence indexes are larger than the preset wind speed evaluation threshold, so that the effect of improving the safety operation accuracy of the wind turbine is achieved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
The method comprises the steps of S1, obtaining wind speed influence indexes, S3, obtaining load evaluation indexes, wherein the wind speed influence indexes are obtained through monitoring a wind turbine in real time through a preset sensing device, the wind speed influence indexes are obtained according to the wind turbine data and reference wind turbine data, the wind speed influence indexes are used for evaluating influence degree of wind speed on safe operation of the wind turbine, S2, obtaining power generation evaluation indexes, judging whether the wind speed influence indexes are larger than a preset wind speed evaluation threshold value, obtaining the power generation evaluation indexes when the wind speed influence indexes are not larger than the preset wind speed evaluation threshold value, judging whether power generation capacity adjustment is carried out or not based on the power generation evaluation indexes, the power generation capacity adjustment is used for adjusting the power generation evaluation indexes to be not lower than the preset power generation threshold value, and the power generation evaluation indexes are used for evaluating power generation conditions of the wind turbine, S3, obtaining the load evaluation indexes, judging whether load adjustment is carried out based on the load evaluation indexes when the wind speed influence indexes are larger than the preset wind speed evaluation threshold value, and the load adjustment is used for adjusting the load evaluation indexes to be not larger than the preset load threshold value, and the load evaluation indexes are used for evaluating the load condition of the wind turbine.
Analysis is performed on a single wind turbine generator, as shown in fig. 2, and a general flow chart provided for an embodiment of the present application, wherein a wind speed impact index is used as a precondition to determine whether to obtain a power generation evaluation index or a load evaluation index. And when the wind speed influence is larger, namely the wind speed influence index is larger than the preset wind speed evaluation threshold value, the load condition is concerned, and the safe and efficient operation of the wind turbine generator is ensured.
For example, due to the fact that a software architecture adopted by the central monitoring system of the wind power plant is old, the situation that the central monitoring system of the wind power plant cannot operate stably due to poor system stability in the daily operation process often occurs, and the situation that system accidents collapse, data are lost, data are inaccurate, part of functions cannot be used normally and the like. The control system transformation is implemented on 50 wind turbine generator systems, the transformation range comprises a main control system, a safety system, an on-site monitoring system, a remote central monitoring system and the like, as shown in fig. 3, the main control system is divided into a control part and a safety part, the main control system mainly realizes three functions of normal operation control, parameter monitoring and monitoring, safety protection and processing, the embodiment of the application can improve the power generation capacity of the wind turbine generator system when the wind speed is higher but not exceeding the rated wind speed of the system, reduce the load of the wind turbine generator system when the wind speed is lower but not lower than the rated wind speed of the system and realize the improvement of the safety operation accuracy of the wind turbine generator system.
The method comprises the specific steps of monitoring the wind turbine in real time through a preset sensing device to obtain wind turbine data, wherein the wind speed sensor is used for providing real-time wind speed information, the wind turbine is measured through the deployed wind speed sensor to obtain impeller radius, the wind turbine is measured through the deployed laser displacement sensor to obtain impeller radius, the preset sensing device comprises the wind speed sensor and the laser displacement sensor, the wind turbine data comprise wind turbine wind speed and impeller radius, and the impeller radius represents the distance from a rotation axis to a blade tip center point of the wind turbine.
The laser displacement sensor is deployed at a preset position point on the back of a cabin of each wind turbine, blades are directly irradiated through a laser radar, real-time monitoring of the radius of the impeller is achieved, and real-time monitored data are transmitted to the control system.
Specifically, the specific process of obtaining the wind speed influence index according to the wind turbine data and the reference wind turbine data comprises the steps of carrying out ratio calculation on the obtained wind speed of the wind turbine and a preset maximum wind speed threshold value to obtain a wind speed deviation ratio (namely, in a limit expression of the wind speed influence index)) The wind speed deviation ratio is used for reflecting the deviation condition of wind speed of the wind turbine, combining wind speed, impeller radius, air density and resistance coefficient of the wind turbine to obtain initial pneumatic damping force which is used for reflecting the condition of resistance of the wind turbine in air, and carrying out ratio operation on the initial pneumatic damping force and a preset maximum damping force threshold value to obtain the pneumatic damping force deviation ratio (namely in a limit expression of a wind speed influence index)) The pneumatic damping force deviation ratio is used for reflecting the deviation condition of resistance generated by the wind turbine in the air, the wind speed influence index is obtained by combining the wind speed deviation ratio and the pneumatic damping force deviation ratio, the reference wind turbine data is obtained from a preset database, and the reference wind turbine data comprises a preset maximum damping force threshold value, a preset maximum wind speed threshold value, air density and a resistance coefficient.
Wherein, the limitation expression of the wind speed influence index is as follows:
;
;
;
In the formula, The wind speed influence index of the wind turbine generator at the ith preset time point is represented,I denotes the number of the preset time points, k denotes the total number of the preset time points,The wind speed deviation ratio of the wind turbine generator set at the ith preset time point is represented,The aerodynamic damping force deviation ratio of the wind turbine generator at the ith preset time point is represented,The wind speed of the wind turbine at the ith preset time point of the wind turbine is represented,The impeller radius of the wind turbine at the ith preset time point is represented,The air density is indicated as such,Represents the coefficient of resistance and,Indicating a preset maximum damping force threshold value,Representing a preset maximum wind speed threshold, e representing a natural constant.
In the embodiment, the laser displacement sensor can accurately measure the distance from the rotation axis to the center point of the blade tip of the impeller by emitting laser and receiving reflected light signals, the distance from the rotation axis to the center point of the blade tip of the wind turbine is equal, the wind speed sensor converts wind speed information monitored in real time into electric signals or digital signals, the preset sensing device is in data communication with the variable frequency system and the variable pitch system, start and stop, grid connection and disconnection of the wind turbine, blade angle and yaw control of the wind turbine are realized, and the running state of the wind turbine is monitored.
Specifically, the preset maximum damping force threshold is represented by a maximum value of the running damping force of the wind turbine in the historical time period in the preset database, the preset maximum wind speed threshold is represented by a maximum value of the wind speed suffered by the running of the wind turbine in the historical time period in the preset database, and the air density is generally 1.255The drag coefficient is represented by an average value of running damping coefficients of the wind turbine generator set in a preset database.
It is to be understood that the wind speed influence index is obtained by combining the algorithm of the embodiment with the comprehensive analysis of the wind turbine data, and the wind turbine data in the algorithm of the embodiment do not exist independently and have correlation. The wind speed of the wind turbine is higher, the influence index of the wind speed is not represented, the influence of the radius of the impeller is comprehensively considered, the wind speed of the wind turbine is higher, the radius of the impeller is higher, the wind capturing capacity is higher, the output power of the wind turbine is higher, the pneumatic damping of the wind turbine can be increased, and the stability of the system can be enhanced along with the increase of the pneumatic damping. Under the action of wind speed change or external disturbance, the pneumatic damping can absorb and dissipate the vibration energy of the system more effectively, so that the system can be restored to the balance state more quickly. The parameters of the algorithm of this embodiment need to be considered together and simultaneously to influence the result.
Specifically, the wind speed deviation ratio is assumedIn the range of 0.01 to 0.1, the pneumatic damping force deviation ratioIn the range of 0.06-0.1, as shown in fig. 4, is a variation statistical chart of wind speed influence indexes provided by the embodiment of the application, wherein (a) is a wind speed deviation ratio variation chart, and as can be known from the chart, when the pneumatic damping force deviation ratio is as followsFixed at 0.06, with the wind speed deviation ratioThe wind speed influence index is gradually reduced, (b) the aerodynamic damping force deviation ratio change map is shown, and it can be seen from the map that the wind speed deviation ratio is shown asFixed at 0.01, with the pneumatic damping force deviation ratioThe wind speed influence index is gradually reduced, which means that the influence degree of wind speed on the safe operation of the wind turbine is gradually reduced, the running stability of the wind turbine is gradually improved, the influence degree of quantized wind speed on the safe operation of the wind turbine is realized, and the accuracy of controlling the safe operation of the wind turbine is further improved.
Further, the specific process of acquiring the power generation evaluation index comprises the steps of acquiring initial wind energy density by combining the acquired air density and wind speed of the wind turbine, wherein the initial wind energy density is used for reflecting the power generation condition of the wind turbine, adding the initial wind energy density and a preset maximum wind energy density threshold value to acquire an initial wind energy density deviation value, representing the result of adding the initial wind energy density deviation value through the initial wind energy density and the preset maximum wind energy density threshold value, and calculating the ratio of the initial wind energy density deviation value to the preset maximum wind energy density threshold value which is 2 times to acquire a wind energy density deviation ratio (namely, in a limit expression of the power generation evaluation index)) The wind energy density deviation ratio is used for reflecting the deviation condition of the electric energy generation of the wind turbine generator, and the wind energy density deviation ratio and the wind speed influence index which is not more than a preset wind speed evaluation threshold value are combined to obtain a power generation evaluation index.
Wherein, the limit expression of the power generation evaluation index is as follows:
;
;
In the formula, Representing the power generation evaluation index of the wind turbine generator at the ith preset time point,I denotes the number of the preset time points, k denotes the total number of the preset time points,The wind speed of the wind turbine at the ith preset time point of the wind turbine is represented,The wind energy density deviation ratio of the wind turbine generator set at the ith preset time point is represented,A wind speed influence index which indicates that the wind turbine generator is not more than a preset wind speed evaluation threshold value at the ith preset time point,Representing a preset maximum wind energy density threshold value,Represents air density, e represents natural constant.
The wind speed and wind speed influence indexes of the wind turbine in the algorithm of the embodiment are not independent, and have correlation. The larger the wind speed of the wind turbine generator is, the higher the wind speed is not represented by the power generation evaluation index, the influence of the wind speed influence index is comprehensively considered, when the wind speed influence index is lower, the higher the power generation efficiency and stability of the wind turbine generator can be maintained under the current wind speed condition, the higher the wind energy density possibly can be caused, the more the energy contained in the airflow passing through the blades of the wind turbine generator in unit time is, and therefore the more the electric energy can be generated by the generator, and the power generation evaluation index is improved. The parameters of the algorithm of this embodiment need to be considered together and simultaneously to influence the result.
Specifically, assume that the wind energy density deviation ratioIn the range of 0.06-0.1, a wind speed impact index of not more than a preset wind speed evaluation threshold valueThe range of (2) is 0.01-0.1, and as shown in table 1, the variation statistics table of the power generation evaluation index provided by the embodiment of the application is as follows:
Table 1 statistical table of variation of power generation evaluation index
As can be seen from Table 1, the wind energy density deviation ratioIs not greater than a preset wind speed evaluation threshold valueGradually decreasing, power generation evaluation indexGradually increasing means that the power generation capacity of the wind turbine generator is gradually enhanced, thereby realizing the quantification of the power generation condition of the wind turbine generator and further realizing the improvement of the safety operation accuracy of the wind turbine generator.
The method comprises the steps of judging whether the power generation amount is regulated based on a power generation evaluation index, wherein the specific process of judging whether the power generation evaluation index is not lower than a preset power generation threshold value, continuously monitoring the running condition of a wind turbine generator when the power generation evaluation index is not lower than the preset power generation threshold value, and executing the second step, sending a prompt to preset personnel to increase the running rotating speed of the wind turbine generator by a preset multiple until the preset rotating speed is maximum, continuously monitoring the running condition of the wind turbine generator when the monitored power generation evaluation index is not lower than the preset power generation threshold value, otherwise executing the third step, sending a prompt to preset personnel to reduce the blade angle of the wind turbine generator by the preset multiple until the preset angle is minimum, continuously monitoring the running condition of the wind turbine generator when the monitored power generation evaluation index is not lower than the preset power generation threshold value, otherwise judging that the running condition is unsafe, and sending the prompt to stop running.
In this embodiment, the preset power generation threshold is represented by a variance of the running power generation amount of the wind turbine in the historical time period in the preset database, the maximum value of the preset rotation speed is represented by the maximum value of the running rotation speed of the wind turbine in the historical time period in the preset database, and the minimum value of the preset angle is represented by the minimum value of the running blade angle of the wind turbine in the historical time period in the preset database.
It will be appreciated that increasing the operating speed of a wind turbine may cause it to capture more wind energy and thereby convert it to more electrical energy. Because the wind power born by the wind turbine generator is correspondingly increased when the wind speed is increased, the wind turbine generator can be overloaded or damaged if the running rotating speed is kept unchanged. And the change of wind speed can be better matched by increasing the running rotating speed, so that the wind turbine generator set can keep high-efficiency running. The larger the wind speed, the larger the blade angle, which may result in the wind turbine being impacted by the larger wind, thereby increasing wear and risk of failure of the mechanical components. And the wind power impact on the wind turbine generator can be reduced by reducing the angle of the blades, so that the mechanical abrasion is reduced, and the service life of the wind turbine generator is prolonged. The control system has a failure protection mechanism, any sensor or starting component fails and does not influence the safe shutdown of the fan, and the accuracy of controlling the safe operation of the wind turbine is improved.
Further, the specific process of obtaining the load evaluation index comprises the steps of obtaining an initial wind load by combining the obtained air density, the impeller radius and the wind speed of the wind turbine, wherein the initial wind load is used for reflecting the pressure condition of air flow on the wind turbine, obtaining an initial load deviation value by adding the initial wind load and a preset maximum load threshold value, representing the result of the addition operation of the initial load deviation value through the initial wind load and the preset maximum load threshold value, and obtaining a load deviation ratio (namely in a limiting expression of the load evaluation index) by carrying out ratio operation on the initial load deviation value and the preset maximum load threshold value which is 2 times) The load deviation ratio is used for reflecting the pressure deviation condition of the air flow on the wind turbine generator, and the load evaluation index is obtained by combining the load deviation ratio and the wind speed influence index which is larger than a preset wind speed evaluation threshold value.
Wherein, the limiting expression of the load evaluation index is as follows:
;
;
In the formula, The load evaluation index of the wind turbine generator at the ith preset time point is represented,I denotes the number of the preset time points, k denotes the total number of the preset time points,The load deviation ratio of the wind turbine generator at the ith preset time point is represented,A wind speed influence index which is larger than a preset wind speed evaluation threshold value at the ith preset time point of the wind turbine generator,The wind speed of the wind turbine at the ith preset time point of the wind turbine is represented,The impeller radius of the wind turbine at the ith preset time point is represented,The air density is indicated as such,Representing a preset maximum load threshold, e representing a natural constant.
In the embodiment, the load evaluation index is obtained by comprehensively analyzing the wind speed, the impeller radius and the wind speed influence index of the wind turbine in combination with the algorithm of the embodiment, and the wind speed, the impeller radius and the wind speed influence index of the wind turbine in the algorithm of the embodiment do not exist independently and have correlation. The larger the wind speed influence index is, the larger the load evaluation index is not represented, the influence of the wind speed and the impeller radius of the wind turbine should be comprehensively considered, when the wind speed is lower, if the impeller radius is larger, the load of the wind turbine is increased, the mechanical stress and the thermal stress can be increased, the running of the wind turbine is unstable, and the generating efficiency and the running safety are further influenced. The parameters of the algorithm of the embodiment need to consider the influence on the result together, thereby realizing the quantification of the load condition of the wind turbine, and further realizing the improvement of the safety operation accuracy of the wind turbine.
It should be understood that the number of steps,The method generally comprises the steps of taking 3.14, wherein a preset maximum load threshold is represented by the maximum value of the running load of the wind turbine in the historical time period in a preset database, the preset load threshold is represented by the variance of the running load of the wind turbine in the historical time period in the preset database, a preset rotating speed minimum value is represented by the minimum value of the running rotating speed of the wind turbine in the historical time period in the preset database, and a preset angle maximum value is represented by the maximum value of the running blade angle of the wind turbine in the historical time period in the preset database.
Further, the specific process of judging whether to carry out load adjustment based on the load evaluation index comprises the following steps of SS1, judging whether the load evaluation index is not larger than a preset load threshold, continuously monitoring the running condition of the wind turbine when the load evaluation index is not larger than the preset load threshold, executing SS2, sending a prompt to preset personnel to reduce the running rotating speed of the wind turbine by a preset multiple until the preset rotating speed is the minimum value, continuously monitoring the running condition of the wind turbine when the monitored load evaluation index is not larger than the preset load threshold, otherwise executing SS3, sending a prompt to preset personnel to increase the blade angle of the wind turbine by the preset multiple until the preset angle is the maximum value, continuously monitoring the running condition of the wind turbine when the monitored load evaluation index is not larger than the preset load threshold, otherwise judging that the running condition is unsafe, and sending the prompt to stop running.
In this embodiment, the lower the wind speed, the higher the running speed of the wind turbine, which may subject the mechanical components to excessive stress, resulting in wear or damage. By reducing the operating speed, the stresses to which these mechanical components are subjected can be reduced, and increasing the blade angle allows the blade to better capture wind energy. The wind turbine generator system has the advantages that the wind capturing capacity of the blades is affected by the change of the angles of the blades, the wind turbine generator system can keep high power generation efficiency by increasing the angles of the blades, and the safety operation accuracy of the wind turbine generator system is improved.
The control system based on the operation of the wind turbine provided by the embodiment of the application comprises a wind speed influence evaluation module, a power generation evaluation module and a load evaluation module, wherein the wind speed influence evaluation module is used for monitoring the wind turbine in real time through a preset sensing device to obtain wind turbine data, the wind speed influence index is obtained according to the wind turbine data and reference wind turbine data, the wind speed influence index is used for evaluating the influence degree of wind speed on the safe operation of the wind turbine, the power generation evaluation module is used for judging whether the wind speed influence index is larger than a preset wind speed evaluation threshold, obtaining the power generation evaluation index when the wind speed influence index is not larger than the preset wind speed evaluation threshold, judging whether the power generation amount is adjusted based on the power generation evaluation index, adjusting the power generation evaluation index to be not smaller than the preset power generation threshold, the power generation evaluation index is used for evaluating the power generation condition of the wind turbine, and the load evaluation module is used for obtaining the load evaluation index when the wind speed influence index is larger than the preset wind speed evaluation threshold, judging whether the load adjustment is performed based on the load evaluation index, and the load adjustment is used for evaluating the load condition of the wind turbine.
In this embodiment, the wind speed impact index, the power generation evaluation index and the load evaluation index provided by the embodiment of the application are only analyzed for a single wind turbine, the wind speed impact evaluation module monitors the wind turbine data in real time through the preset sensing device, the power generation evaluation module starts to act when the wind speed impact index is not greater than the preset wind speed evaluation threshold value, the power generation evaluation module judges whether the power generation amount adjustment is required or not based on the power generation evaluation index, and when the wind speed impact index exceeds the preset wind speed evaluation threshold value, the wind speed possibly threatens the safe operation of the wind turbine. At the moment, the load evaluation module starts to work, and the load evaluation index is obtained to evaluate the load condition of the wind turbine, so that the safety operation accuracy of the wind turbine is improved.
The embodiment of the application provides electronic equipment, which comprises a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic equipment is triggered to execute a control method based on the running of a wind turbine.
In this embodiment, the electronic device comprises a memory for storing computer program instructions. The electronic equipment further comprises a processor for executing the computer program instructions in the memory, so that the safety operation accuracy of the wind turbine is improved.
In summary, the embodiment of the application monitors the wind turbine generator in real time through the preset sensing device to obtain the wind turbine generator data and the wind speed influence index, then judges whether the wind speed influence index is larger than the preset wind speed evaluation threshold value, obtains the power generation evaluation index and judges whether to adjust the power generation amount when the wind speed influence index is not larger than the preset wind speed evaluation threshold value, and obtains the load evaluation index and judges whether to adjust the load when the wind speed influence index is larger than the preset wind speed evaluation threshold value, thereby realizing dynamic monitoring of the running state of the wind turbine generator, further realizing improvement of the safety running accuracy of the wind turbine generator, and effectively solving the problem of inaccurate safety running of the wind turbine generator in the prior art.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
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| CN106224162A (en) * | 2016-07-29 | 2016-12-14 | 电子科技大学 | The load model method for building up of Wind turbines and load controlled method |
| CN113931809A (en) * | 2021-11-15 | 2022-01-14 | 西安热工研究院有限公司 | Load monitoring method and system based on wind turbine clearance monitoring |
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| CN113931809A (en) * | 2021-11-15 | 2022-01-14 | 西安热工研究院有限公司 | Load monitoring method and system based on wind turbine clearance monitoring |
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