CN111336066A - Wind power generation system for generating energy and control method - Google Patents
Wind power generation system for generating energy and control method Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
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- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
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Abstract
The invention belongs to the technical field of wind power generation, and discloses a wind power generation system for generating energy and a control method, wherein the system comprises: the system comprises a wind energy acquisition module, a power generation module, a braking module, a speed regulation module, a power transmission module, an online fault diagnosis module, a lightning protection module, a display module, a central control module, a wireless signal transceiving module, a cloud server, a wind energy parameter detection acquisition module, a wind wheel operation state acquisition module, a wind wheel rotating speed acquisition module and an electric energy parameter acquisition module. For common faults in wind power generation system equipment, the wind power generation system can be effectively monitored and found by means of a fault diagnosis technology, scientific control and timely treatment are carried out by means of a system control module, the probability of occurrence of major accidents can be effectively reduced, adverse effects generated by the system are reduced to the minimum, and the maintenance cost is reduced by 50%.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to a wind power generation system for generating energy and a control method.
Background
Currently, the closest prior art: with the continuous development of social economy, the application of electric power is more and more extensive, and people can not leave electric power in daily life more and more. The power generation method in China is very many and mainly comprises thermal power generation, hydraulic power generation and wind power generation. Because the availability of wind is very strong and the wind power resources in China are very rich, the power generation technology mainly applied in China is wind power generation.
In order to make full use of wind energy, China develops the wind power generation technology very rapidly. The progress of the wind power generation technology promotes the wide application of wind power generation and also promotes the construction of wind power plants in China.
However, the wind power generation technology is not perfect at present, so that a great challenge is brought to a traditional power system in the grid connection process. On one hand, the environmental disadvantage of areas with abundant wind energy accumulation is overcome, the power generation efficiency is guaranteed, on the other hand, the operation and maintenance capacity is improved, the fault occurrence rate of a wind power generation system is reduced, scientific and reasonable maintenance work can be timely carried out on faults, and the reliability and stability of a power system are guaranteed. The existing wind power generation system cannot realize automatic fault diagnosis, once a wind turbine generator fails, a plurality of problems can be brought to the power system, the stability of the power system is seriously affected, the production efficiency can be reduced, the production cost is increased, and great economic loss is caused. Moreover, the wind power generator needs to obtain energy by means of wind power, so that the wind power generator needs to be built in a relatively open area, and blades carried by the wind power generator need to be arranged in a relatively high air, so that the wind power generator is relatively easy to attack by thunder. The existing lightning protection mode has poor effect, easily causes the wind power generation equipment to be damaged due to lightning attack, and increases the equipment maintenance cost.
In summary, the problems of the prior art are as follows:
(1) the existing wind power generation system can not realize automatic fault diagnosis, can not carry out technical detection and diagnosis on equipment faults, can not ensure the stability of a power system, and reduces the production efficiency.
(2) The existing lightning protection mode has poor effect, easily causes the wind power generation equipment to be damaged due to lightning attack, and increases the equipment maintenance cost.
Disclosure of Invention
The invention provides a wind power generation system and a control method for generating energy, aiming at the problems in the prior art.
The invention is thus achieved, a wind power system for generating energy, said wind power system for generating energy comprising:
the wind energy acquisition module is connected with the central control module and rotates through the wind wheel, and the wind wheel generator is used for generating rotary motion of the wind wheel under the action of lifting force;
the power generation module is connected with the central control module, and drives the motor to rotate and generate power by depending on the rotation of the wind wheel so as to convert mechanical energy into electric energy;
the braking module is connected with the central control module and performs braking control through the rotation of the brake on the generator;
the speed regulating module is connected with the central control module and is used for regulating and controlling the rotating speed of the wind wheel through the speed regulating device;
the power transmission module is connected with the central control module, and is used for processing the current generated by the power generation module through the power transmission line and transmitting the processed current to an external power grid;
the fault online diagnosis module is connected with the central control module and used for carrying out online diagnosis on the control of the wind driven generator by constructing a database of fault diagnosis of the wind power system; setting a reasonable fault parameter value field in a wind power generation system according to the abrasion condition of each part of a wind driven generator in the actual operation process; in a value range, the wind power system debugs system operation parameters and related fault parameters, performs a large number of simulation tests, arranges, calculates and analyzes related experimental data, and finally forms a wind power system fault diagnosis database; establishing an inner-outer loop adaptive threshold observer based on deep learning, inputting an input control instruction and a residual error generated by a neural network observer into an adaptive threshold generator to obtain an adaptive threshold, and then comparing the adaptive threshold with the residual error output by the neural network observer to judge whether the wind power generation equipment has a fault;
the lightning protection module is connected with the central control module and used for protecting an external system and an internal system of the wind power generation equipment from lightning through a plurality of lightning protection devices;
the display module is connected with the central control module and is used for adjusting the running state data in the wind power generation system by utilizing the display screen;
the central control module is connected with each module and coordinates the normal operation of each module;
the wireless signal transceiver module is connected with the central control module, is connected with the cloud server through the wireless signal transceiver and is used for transmitting data;
the cloud server is connected with the central control module and used for realizing data sharing; the cloud server classifies the data, establishes a corresponding example set according to the data detected by the wind power generation system, and determines the attribute of the data detected by the wind power generation system; calculating information gain according to the attribute of the data; sorting the information gains, and determining the attribute with the maximum information gain; establishing a corresponding training set for the data related to the wind power generation system; data which is close to the attribute with the maximum information gain is classified into a class, the information gain is sequentially valued, and a tree building algorithm is recursively called; if the maximum value of the information gain only contains a single attribute, branching is a leaf node, judging the attribute value of the leaf node, marking a corresponding symbol, and then returning to the use, or the tree reaches the specified depth, or all elements of the subset belong to one classification and are all finished;
the wind energy parameter detection and acquisition module is connected with the central control module and acquires the magnitude and direction of wind power through corresponding sensors;
the wind wheel running state acquisition module is connected with the central control module and is used for detecting angle or torque data information of the wind wheel by utilizing a corresponding sensor;
the wind wheel rotating speed acquisition module is connected with the central control module and acquires the rotating speed of the wind wheel by utilizing the rotating speed sensor;
the electric energy parameter acquisition module is connected with the central control module and detects the output voltage and current by utilizing a corresponding sensor; the process of processing the acquired signals comprises the following steps: identifying the noise signals by using a corresponding denoising identification method for the collected voltage power, and performing wavelet transformation on the noise signals to obtain a corresponding wavelet coefficient set; determining a corresponding threshold value according to the voltage and current wavelet coefficient, thereby obtaining an estimated value of the wavelet coefficient; and reconstructing the voltage and current signals according to the wavelet coefficient estimated value obtained by calculation to obtain the voltage and current signals without noise.
Further, the power transmission module includes:
the system comprises a machine side rectifying unit, a network side inverting unit, a grid-connected unit and a power taking unit;
the machine side rectification unit is used for connecting a wind generating set, the machine side rectification unit, the grid side inversion unit and the grid connection unit are sequentially connected, and the grid connection unit is used for connecting an external power grid;
the input end of the power taking unit is connected with the grid side inversion unit, and the output end of the power taking unit is connected with the wind generating set.
Furthermore, the electricity taking unit comprises a multi-winding transformer and a plurality of power units, the power units are connected in a cascade manner, and a three-phase alternating current port of each power unit is correspondingly connected with a three-phase port of a secondary winding of the multi-winding transformer;
the primary winding of the multi-winding transformer is connected with one secondary winding of the machine side multi-winding transformer, the power units are connected between two direct current buses, and the direct current buses are connected between the machine side rectifying unit and the network side inverting unit.
Further, the lightning protection module includes:
the lightning protection device comprises an external lightning protection unit, a lightning receptor is arranged at the top of the blade tip of the wind power generation equipment, a lightning rod is arranged at the top of the cabin, the cabin is connected with the top of the tower through a down conductor, and the current hit by lightning is smoothly introduced into the ground;
and the internal lightning protection unit protects an internal system of the wind power generation equipment in an equipotential connection, shielding isolation and overvoltage protection mode.
Furthermore, the external lightning protection unit also comprises a copper annular conductor which is placed around the tower and connected with the tower, the copper annular conductor is used as a grounding grid of the wind power generation equipment and connected with the lower end of the down conductor, the copper annular conductor is 0.5m away from the tower, and the radius of the copper annular conductor is determined according to the soil environment parameters.
Furthermore, the equipotential connection in the internal lightning protection unit is realized by connecting the lightning rod with the anemometer which is easily influenced by lightning stroke and then connecting the lightning rod with a ground device, or connecting metal equipment in the engine room with the ground device;
the shielding isolation and the overvoltage protection realize the connection between the processor and the ground through an optical fiber cable, then the electromagnetic coupling influence between elements is reduced by using a shielding isolation method, and the isolation effect of the processor and the sensor is made by using power supply direct current for separately supplying power;
the overvoltage protection is realized by installing a B + C-level SPD in a control cabinet at the bottom of a tower through incoming wires, and connecting the communication signal circuit tower drum to the two ends of a cabin control cabinet by using an optical fiber armored metal layer, or selecting and adding a signal system protector to reliably ground.
Another object of the present invention is to provide a wind power generation system control method for generating energy based on the wind power generation system for generating energy, the wind power generation system control method for generating energy including:
the method comprises the following steps that firstly, a wind energy acquisition module rotates through a wind wheel, and a wind wheel generator means that the wind wheel generates rotary motion under the action of lifting force; the power generation module drives a motor to rotate to generate power by depending on the rotation of the wind wheel, and converts mechanical energy into electric energy; the power transmission module processes the current generated by the power generation module through the power transmission line and transmits the processed current to an external power grid;
in the power generation process, the wind energy parameter detection and acquisition module acquires the magnitude and direction of wind power through corresponding sensors, and the wind wheel rotating speed acquisition module acquires the rotating speed of a wind wheel by using a rotating speed sensor; the electric energy parameter acquisition module detects the output voltage and current by utilizing a corresponding sensor; the wind wheel running state acquisition module detects angle or torque data information of a wind wheel by using a corresponding sensor;
thirdly, according to the detected data information, a fault online diagnosis module carries out online diagnosis on the wind driven generator control by constructing a database of wind power system fault diagnosis; according to the diagnosis result, the central control module controls the brake module to perform brake control through the rotation of the brake to the generator; the rotating speed of the wind wheel is adjusted and controlled by controlling a speed adjusting device in the speed adjusting module;
step four, the central control module is connected with the cloud server through the wireless signal transceiving module and used for realizing data sharing; the display module adjusts the running state data in the wind power generation system by using the display screen; and simultaneously, the lightning protection module carries out lightning protection on an external system and an internal system of the wind power generation equipment through a plurality of lightning protection devices.
Further, in the second step, the process of processing the acquired signal by the electric energy parameter acquisition module is as follows:
identifying the noise signals by using a corresponding denoising identification method for the collected voltage power, and performing wavelet transformation on the noise signals to obtain a corresponding wavelet coefficient set;
determining a corresponding threshold value according to the voltage and current wavelet coefficient, thereby obtaining an estimated value of the wavelet coefficient;
and reconstructing the voltage and current signals according to the wavelet coefficient estimated value obtained by calculation to obtain the voltage and current signals without noise.
Further, in the third step, the specific diagnosis steps adopted by the fault online diagnosis module specifically include:
setting a reasonable fault parameter value field in a wind power generation system according to the abrasion condition of each part of a wind driven generator in the actual operation process;
in a value range, the wind power system debugs system operation parameters and related fault parameters, performs a large number of simulation tests, arranges, calculates and analyzes related experimental data, and finally forms a wind power system fault diagnosis database;
the method comprises the steps of establishing an inner-outer loop adaptive threshold observer based on deep learning, inputting an input control instruction and a residual error generated by a neural network observer into an adaptive threshold generator to obtain an adaptive threshold, and then comparing the adaptive threshold with the residual error output by the neural network observer to judge whether the wind power generation equipment has faults or not.
Further, in the fourth step, the process of classifying the data by the cloud server for implementing the sharing of the data is as follows:
establishing a corresponding example set according to data detected by the wind power generation system, and determining the attribute of the data detected by the wind power generation system; calculating information gain according to the attribute of the data;
sorting the information gains, and determining the attribute with the maximum information gain; establishing a corresponding training set for the data related to the wind power generation system;
data which is close to the attribute with the maximum information gain is classified into a class, the information gain is sequentially valued, and a tree building algorithm is recursively called;
if the maximum value of the information gain only contains a single attribute, branching is a leaf node, judging the attribute value of the leaf node, marking a corresponding symbol, and then returning to the use, or reaching the specified depth of the tree, or ending when all elements of the subset belong to one classification.
In summary, the advantages and positive effects of the invention are: according to the invention, the lightning protection module comprising the external lightning protection unit and the internal lightning protection unit is arranged, so that the adverse effect caused by lightning is avoided by using an effective technical means, and a good foundation is laid for improving the safety and the stability of the power system. For common faults in wind power generation system equipment, the wind power generation system can be effectively monitored and discovered by means of a fault diagnosis technology, scientific control and timely processing are performed by means of a system controller, the probability of major accidents can be effectively reduced, the adverse effect on the system is minimized, 50% of maintenance cost can be reduced, the system downtime caused by faults can be reduced by about 75%, the operation and maintenance cost of wind power generation is reduced, the production efficiency is improved, and the economic benefit of power enterprises can be improved. The wind energy parameter detection and acquisition module acquires the size and direction of wind power through corresponding sensors, and the wind wheel operation state acquisition module detects angle or torque data information of a wind wheel through the corresponding sensors; and controlling the wind wheel according to the detection data information, so that the efficiency of wind power generation is improved. Meanwhile, the wind wheel rotating speed acquisition module is arranged, and the rotating speed of the wind wheel is acquired by using the rotating speed sensor; the electric energy parameter acquisition module detects the output voltage and current by utilizing corresponding sensors, and can judge the running state of the whole system according to the detected numerical value.
Drawings
FIG. 1 is a schematic structural diagram of a wind power system for generating energy according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a power transmission module according to an embodiment of the present invention.
FIG. 3 is a flow chart of a method for controlling a wind power system for generating energy according to an embodiment of the present invention.
In the figure: 1. a wind energy collection module; 2. a power generation module; 3. a brake module; 4. a speed regulation module; 5. a power transmission module; 6. a fault online diagnosis module; 7. a lightning protection module; 8. a display module; 9. a central control module; 10. a wireless signal transceiving module; 11. a cloud server; 12. a wind energy parameter detection and acquisition module; 13. a wind wheel running state acquisition module; 14. a wind wheel rotating speed acquisition module; 15. and the electric energy parameter acquisition module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problems in the prior art, embodiments of the present invention provide a wind power generation system and a control method for generating energy.
As shown in fig. 1 and 2, a wind power generation system for generating energy according to an embodiment of the present invention includes:
the wind energy collection module 1 is connected with the central control module 9 and rotates through a wind wheel, and the wind wheel generator means that the wind wheel generates rotary motion under the action of lifting force.
The power generation module 2 is connected with the central control module 9, and drives the motor to rotate to generate power by means of rotation of the wind wheel, so that mechanical energy is converted into electric energy.
And the braking module 3 is connected with the central control module 9 and performs braking control through the rotation of the brake on the generator.
And the speed regulating module 4 is connected with the central control module 9 and is used for regulating and controlling the rotating speed of the wind wheel through a speed regulating device.
And the power transmission module 5 is connected with the central control module 9, and processes the current generated by the power generation module through a power transmission line and transmits the processed current to an external power grid.
And the fault online diagnosis module 6 is connected with the central control module 9 and is used for performing online diagnosis on the control of the wind driven generator by constructing a database for fault diagnosis of the wind power system.
And the lightning protection module 7 is connected with the central control module 9 and used for protecting the external system and the internal system of the wind power generation equipment from lightning through a plurality of lightning protection devices.
And the display module 8 is connected with the central control module 9 and is used for adjusting the operation state data in the wind power generation system by utilizing the display screen.
And the central control module 9 is connected with each module and coordinates the normal operation of each module.
And the wireless signal transceiver module 10 is connected with the central control module 9, is connected with the cloud server through a wireless signal transceiver, and is used for data transmission.
And the cloud server 11 is connected with the central control module 9 and used for realizing data sharing.
And the wind energy parameter detection and acquisition module 12 is connected with the central control module 9 and acquires the magnitude and direction of wind power through corresponding sensors.
And the wind wheel running state acquisition module 13 is connected with the central control module 9 and is used for detecting the angle or torque data information of the wind wheel by utilizing a corresponding sensor.
And the wind wheel rotating speed acquisition module 14 is connected with the central control module 9 and acquires the rotating speed of the wind wheel by utilizing the rotating speed sensor.
And the electric energy parameter acquisition module 15 is connected with the central control module 9 and detects the output voltage and current by utilizing a corresponding sensor.
The power transmission module in the embodiment of the invention includes:
the system comprises a machine side rectifying unit, a network side inverting unit, a grid-connected unit and a power taking unit;
the machine side rectification unit is used for connecting a wind generating set, the machine side rectification unit, the grid side inversion unit and the grid connection unit are sequentially connected, and the grid connection unit is used for connecting an external power grid;
the input end of the power taking unit is connected with the grid side inversion unit, and the output end of the power taking unit is connected with the wind generating set.
The power taking unit comprises a multi-winding transformer and a plurality of power units, wherein the power units are connected in a cascade mode, a three-phase alternating current port of each power unit is correspondingly connected with a three-phase port of a secondary winding of the multi-winding transformer, a primary winding of the multi-winding transformer is connected with a secondary winding of the machine side multi-winding transformer, the power units are connected between two direct current buses, and the direct current buses are connected between a machine side rectifying unit and a grid side inverting unit.
The lightning protection module in the embodiment of the invention comprises:
the lightning protection device comprises an external lightning protection unit, a lightning receptor is arranged at the top of the blade tip of the wind power generation equipment, a lightning rod is arranged at the top of the cabin, the cabin is connected with the top of the tower through a down conductor, and the current hit by lightning is smoothly introduced into the ground;
and the internal lightning protection unit protects an internal system of the wind power generation equipment in an equipotential connection, shielding isolation and overvoltage protection mode.
The external lightning protection unit in the embodiment of the invention also comprises a copper annular conductor which is arranged around the tower and connected with the tower, the copper annular conductor is used as a grounding grid of the wind power generation equipment and connected with the lower end of the down conductor, the copper annular conductor is 0.5m away from the tower, and the radius is determined according to the soil environment parameters.
In the embodiment of the invention, the equipotential connection is realized by connecting the lightning rod with the anemometer which is easily influenced by lightning stroke and then connecting the lightning rod with a ground device, or connecting metal equipment in a cabin with the ground device;
the shielding isolation and the overvoltage protection realize the connection between the processor and the ground through an optical fiber cable, then the electromagnetic coupling influence between elements is reduced by using a shielding isolation method, and the isolation effect of the processor and the sensor is made by using power supply direct current for separately supplying power;
the overvoltage protection is realized by installing a B + C-level SPD in a control cabinet at the bottom of a tower through incoming wires, and connecting the communication signal circuit tower drum to the two ends of a cabin control cabinet by using an optical fiber armored metal layer, or selecting and adding a signal system protector to reliably ground.
As shown in fig. 3, a method for controlling a wind power generation system for generating energy according to an embodiment of the present invention includes:
s101: the wind energy acquisition module rotates through the wind wheel, and the wind wheel generator is used for generating rotary motion of the wind wheel under the action of lifting force; the power generation module drives a motor to rotate to generate power by depending on the rotation of the wind wheel, and converts mechanical energy into electric energy; and the power transmission module processes the current generated by the power generation module through the power transmission line and transmits the processed current to an external power grid.
S102: in the power generation process, the wind energy parameter detection and acquisition module acquires the magnitude and direction of wind power through corresponding sensors, and the wind wheel rotating speed acquisition module acquires the rotating speed of a wind wheel through a rotating speed sensor; the electric energy parameter acquisition module detects the output voltage and current by utilizing a corresponding sensor; the wind wheel running state acquisition module detects angle or torque data information of the wind wheel by using a corresponding sensor.
S103: according to the detected data information, a fault online diagnosis module carries out online diagnosis on the control of the wind driven generator by constructing a database of fault diagnosis of the wind power system; according to the diagnosis result, the central control module controls the brake module to perform brake control through the rotation of the brake to the generator; the rotating speed of the wind wheel is adjusted and controlled by controlling a speed adjusting device in the speed adjusting module.
S104: the central control module is connected with the cloud server through the wireless signal transceiving module and used for realizing data sharing; the display module adjusts the running state data in the wind power generation system by using the display screen; and simultaneously, the lightning protection module carries out lightning protection on an external system and an internal system of the wind power generation equipment through a plurality of lightning protection devices.
In S102 provided by the present invention, the process of processing the acquired signal by the electric energy parameter acquisition module connected to the central control module 9 and detecting the output voltage and current by using the corresponding sensor is as follows:
identifying the noise signals by using a corresponding denoising identification method for the collected voltage power, and performing wavelet transformation on the noise signals to obtain a corresponding wavelet coefficient set;
determining a corresponding threshold value according to the voltage and current wavelet coefficient, thereby obtaining an estimated value of the wavelet coefficient;
and reconstructing the voltage and current signals according to the wavelet coefficient estimated value obtained by calculation to obtain the voltage and current signals without noise.
In S103 provided by the present invention, the specific diagnosis steps adopted by the online fault diagnosis module specifically include:
setting a reasonable fault parameter value field in a wind power generation system according to the abrasion condition of each part of a wind driven generator in the actual operation process;
in a value range, the wind power system debugs system operation parameters and related fault parameters, performs a large number of simulation tests, arranges, calculates and analyzes related experimental data, and finally forms a wind power system fault diagnosis database;
the method comprises the steps of establishing an inner-outer loop adaptive threshold observer based on deep learning, inputting an input control instruction and a residual error generated by a neural network observer into an adaptive threshold generator to obtain an adaptive threshold, and then comparing the adaptive threshold with the residual error output by the neural network observer to judge whether the wind power generation equipment has faults or not.
In S104 provided by the present invention, the process of classifying data by the cloud server 11 connected to the central control module to implement data sharing includes:
establishing a corresponding example set according to data detected by the wind power generation system, and determining the attribute of the data detected by the wind power generation system; calculating information gain according to the attribute of the data;
sorting the information gains, and determining the attribute with the maximum information gain; establishing a corresponding training set for the data related to the wind power generation system;
data which is close to the attribute with the maximum information gain is classified into a class, the information gain is sequentially valued, and a tree building algorithm is recursively called;
if the maximum value of the information gain only contains a single attribute, branching is a leaf node, judging the attribute value of the leaf node, marking a corresponding symbol, and then returning to the use, or reaching the specified depth of the tree, or ending when all elements of the subset belong to one classification.
The working principle of the invention is as follows: the wind energy collection module 1 rotates through a wind wheel, and the wind wheel generator means that the wind wheel generates rotary motion under the action of lifting force; the power generation module 2 drives a motor to rotate to generate power by means of rotation of the wind wheel, and converts mechanical energy into electric energy; and the power transmission module 5 processes and transmits the current generated by the power generation module to an external power grid through a power transmission line. In the power generation process, the wind energy parameter detection and acquisition module 12 acquires the magnitude and direction of wind power through corresponding sensors, and the wind wheel rotating speed acquisition module 13 acquires the rotating speed of a wind wheel by utilizing a rotating speed sensor; the electric energy parameter acquisition module 15 detects the output voltage and current by using the corresponding sensors.
According to the detected data information, the fault online diagnosis module 6 carries out online diagnosis on the wind driven generator control by constructing a database of wind power system fault diagnosis; according to the diagnosis result, the central control module 9 controls the brake module 3 to perform brake control through the rotation of the brake to the generator; the rotating speed of the wind wheel is adjusted and controlled by controlling a speed adjusting device in the speed adjusting module 4. The central control module 9 is connected with the cloud server 11 through the wireless signal transceiving module 10 to realize data sharing; the display module 8 adjusts the operation state data in the wind power generation system by using the display screen; and meanwhile, the lightning protection module 7 carries out lightning protection on an external system and an internal system of the wind power generation equipment through a plurality of lightning protection devices.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A wind power system for generating energy, characterized in that the wind power system for generating energy comprises:
the wind energy acquisition module is connected with the central control module and rotates through the wind wheel, and the wind wheel generator is used for generating rotary motion of the wind wheel under the action of lifting force;
the power generation module is connected with the central control module, and drives the motor to rotate and generate power by depending on the rotation of the wind wheel so as to convert mechanical energy into electric energy;
the braking module is connected with the central control module and performs braking control through the rotation of the brake on the generator;
the speed regulating module is connected with the central control module and is used for regulating and controlling the rotating speed of the wind wheel through the speed regulating device;
the power transmission module is connected with the central control module, and is used for processing the current generated by the power generation module through the power transmission line and transmitting the processed current to an external power grid;
the fault online diagnosis module is connected with the central control module and used for carrying out online diagnosis on the control of the wind driven generator by constructing a database of fault diagnosis of the wind power system; setting a reasonable fault parameter value field in a wind power generation system according to the abrasion condition of each part of a wind driven generator in the actual operation process; in a value range, the wind power system debugs system operation parameters and related fault parameters, performs a large number of simulation tests, arranges, calculates and analyzes related experimental data, and finally forms a wind power system fault diagnosis database; establishing an inner-outer loop adaptive threshold observer based on deep learning, inputting an input control instruction and a residual error generated by a neural network observer into an adaptive threshold generator to obtain an adaptive threshold, and then comparing the adaptive threshold with the residual error output by the neural network observer to judge whether the wind power generation equipment has a fault;
the lightning protection module is connected with the central control module and used for protecting an external system and an internal system of the wind power generation equipment from lightning through a plurality of lightning protection devices;
the display module is connected with the central control module and is used for adjusting the running state data in the wind power generation system by utilizing the display screen;
the central control module is connected with each module and coordinates the normal operation of each module;
the wireless signal transceiver module is connected with the central control module, is connected with the cloud server through the wireless signal transceiver and is used for transmitting data;
the cloud server is connected with the central control module and used for realizing data sharing; the cloud server classifies the data, establishes a corresponding example set according to the data detected by the wind power generation system, and determines the attribute of the data detected by the wind power generation system; calculating information gain according to the attribute of the data; sorting the information gains, and determining the attribute with the maximum information gain; establishing a corresponding training set for the data related to the wind power generation system; data which is close to the attribute with the maximum information gain is classified into a class, the information gain is sequentially valued, and a tree building algorithm is recursively called; if the maximum value of the information gain only contains a single attribute, branching is a leaf node, judging the attribute value of the leaf node, marking a corresponding symbol, and then returning to the use, or the tree reaches the specified depth, or all elements of the subset belong to one classification and are all finished;
the wind energy parameter detection and acquisition module is connected with the central control module and acquires the magnitude and direction of wind power through corresponding sensors;
the wind wheel running state acquisition module is connected with the central control module and is used for detecting angle or torque data information of the wind wheel by utilizing a corresponding sensor;
the wind wheel rotating speed acquisition module is connected with the central control module and acquires the rotating speed of the wind wheel by utilizing the rotating speed sensor;
the electric energy parameter acquisition module is connected with the central control module and detects the output voltage and current by utilizing a corresponding sensor; the process of processing the acquired signals comprises the following steps: identifying the noise signals by using a corresponding denoising identification method for the collected voltage power, and performing wavelet transformation on the noise signals to obtain a corresponding wavelet coefficient set; determining a corresponding threshold value according to the voltage and current wavelet coefficient, thereby obtaining an estimated value of the wavelet coefficient; and reconstructing the voltage and current signals according to the wavelet coefficient estimated value obtained by calculation to obtain the voltage and current signals without noise.
2. The wind power system for generating energy of claim 1, wherein said power transmission module comprises:
the system comprises a machine side rectifying unit, a network side inverting unit, a grid-connected unit and a power taking unit;
the machine side rectification unit is used for connecting a wind generating set, the machine side rectification unit, the grid side inversion unit and the grid connection unit are sequentially connected, and the grid connection unit is used for connecting an external power grid;
the input end of the power taking unit is connected with the grid side inversion unit, and the output end of the power taking unit is connected with the wind generating set.
3. The wind power generation system for generating energy according to claim 2, wherein the electricity taking unit comprises a multi-winding transformer and a plurality of power units, the plurality of power units are connected in cascade, and a three-phase alternating current port of each power unit is respectively connected with a three-phase port of a secondary winding of the multi-winding transformer;
the primary winding of the multi-winding transformer is connected with one secondary winding of the machine side multi-winding transformer, the power units are connected between two direct current buses, and the direct current buses are connected between the machine side rectifying unit and the network side inverting unit.
4. The wind power system for generating energy of claim 1, wherein the lightning protection module comprises:
the lightning protection device comprises an external lightning protection unit, a lightning receptor is arranged at the top of the blade tip of the wind power generation equipment, a lightning rod is arranged at the top of the cabin, the cabin is connected with the top of the tower through a down conductor, and the current hit by lightning is smoothly introduced into the ground;
and the internal lightning protection unit protects an internal system of the wind power generation equipment in an equipotential connection, shielding isolation and overvoltage protection mode.
5. The wind power system for generating energy according to claim 4, wherein said external lightning protection unit further comprises a copper annular conductor attached to the tower and placed around the tower, the copper annular conductor being connected to the lower end of the down conductor as a grounding grid for the wind power plant, the copper annular conductor being located 0.5m from the tower and having a radius determined according to the environmental parameters of the soil in which it is located.
6. The wind power system for generating energy according to claim 4, wherein said equipotential connections in the internal lightning protection unit are established by connecting the lightning conductor to the anemometer susceptible to lightning strikes and then to the ground installation, or by connecting metallic equipment in the nacelle to the ground installation;
the shielding isolation and the overvoltage protection realize the connection between the processor and the ground through an optical fiber cable, then the electromagnetic coupling influence between elements is reduced by using a shielding isolation method, and the isolation effect of the processor and the sensor is made by using power supply direct current for separately supplying power;
the overvoltage protection is realized by installing a B + C-level SPD in a control cabinet at the bottom of a tower through incoming wires, and connecting the communication signal circuit tower drum to the two ends of a cabin control cabinet by using an optical fiber armored metal layer, or selecting and adding a signal system protector to reliably ground.
7. A wind power system control method for energy production based on a wind power system for energy production according to claims 1-6, characterized in that the wind power system control method for energy production comprises:
the method comprises the following steps that firstly, a wind energy acquisition module rotates through a wind wheel, and a wind wheel generator means that the wind wheel generates rotary motion under the action of lifting force; the power generation module drives a motor to rotate to generate power by depending on the rotation of the wind wheel, and converts mechanical energy into electric energy; the power transmission module processes the current generated by the power generation module through the power transmission line and transmits the processed current to an external power grid;
in the power generation process, the wind energy parameter detection and acquisition module acquires the magnitude and direction of wind power through corresponding sensors, and the wind wheel rotating speed acquisition module acquires the rotating speed of a wind wheel by using a rotating speed sensor; the electric energy parameter acquisition module detects the output voltage and current by utilizing a corresponding sensor; the wind wheel running state acquisition module detects angle or torque data information of a wind wheel by using a corresponding sensor;
thirdly, according to the detected data information, a fault online diagnosis module carries out online diagnosis on the wind driven generator control by constructing a database of wind power system fault diagnosis; according to the diagnosis result, the central control module controls the brake module to perform brake control through the rotation of the brake to the generator; the rotating speed of the wind wheel is adjusted and controlled by controlling a speed adjusting device in the speed adjusting module;
step four, the central control module is connected with the cloud server through the wireless signal transceiving module and used for realizing data sharing; the display module adjusts the running state data in the wind power generation system by using the display screen; and simultaneously, the lightning protection module carries out lightning protection on an external system and an internal system of the wind power generation equipment through a plurality of lightning protection devices.
8. The method according to claim 7, wherein in the second step, the electric energy parameter collecting module processes the collected signals by:
identifying the noise signals by using a corresponding denoising identification method for the collected voltage power, and performing wavelet transformation on the noise signals to obtain a corresponding wavelet coefficient set;
determining a corresponding threshold value according to the voltage and current wavelet coefficient, thereby obtaining an estimated value of the wavelet coefficient;
and reconstructing the voltage and current signals according to the wavelet coefficient estimated value obtained by calculation to obtain the voltage and current signals without noise.
9. The wind power system control method for generating energy according to claim 7, wherein in the third step, the specific diagnosis steps adopted by the fault online diagnosis module specifically include:
setting a reasonable fault parameter value field in a wind power generation system according to the abrasion condition of each part of a wind driven generator in the actual operation process;
in a value range, the wind power system debugs system operation parameters and related fault parameters, performs a large number of simulation tests, arranges, calculates and analyzes related experimental data, and finally forms a wind power system fault diagnosis database;
the method comprises the steps of establishing an inner-outer loop adaptive threshold observer based on deep learning, inputting an input control instruction and a residual error generated by a neural network observer into an adaptive threshold generator to obtain an adaptive threshold, and then comparing the adaptive threshold with the residual error output by the neural network observer to judge whether the wind power generation equipment has faults or not.
10. The wind power system control method for generating energy according to claim 7, wherein in the fourth step, the cloud server for sharing the data classifies the data by:
establishing a corresponding example set according to data detected by the wind power generation system, and determining the attribute of the data detected by the wind power generation system; calculating information gain according to the attribute of the data;
sorting the information gains, and determining the attribute with the maximum information gain; establishing a corresponding training set for the data related to the wind power generation system;
data which is close to the attribute with the maximum information gain is classified into a class, the information gain is sequentially valued, and a tree building algorithm is recursively called;
if the maximum value of the information gain only contains a single attribute, branching is a leaf node, judging the attribute value of the leaf node, marking a corresponding symbol, and then returning to the use, or reaching the specified depth of the tree, or ending when all elements of the subset belong to one classification.
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