CN111878325A - System and method for recognizing leeward power generation state and early warning fault - Google Patents
System and method for recognizing leeward power generation state and early warning fault Download PDFInfo
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- CN111878325A CN111878325A CN202010896118.2A CN202010896118A CN111878325A CN 111878325 A CN111878325 A CN 111878325A CN 202010896118 A CN202010896118 A CN 202010896118A CN 111878325 A CN111878325 A CN 111878325A
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- 238000010248 power generation Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 238000000819 phase cycle Methods 0.000 claims description 10
- 201000009482 yaws Diseases 0.000 claims description 8
- 230000002045 lasting effect Effects 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 15
- 230000008859 change Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
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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
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0264—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for stopping; controlling in emergency situations
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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
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
- F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/32—Wind speeds
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/321—Wind directions
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention provides a leeward power generation state identification and fault early warning system and method. The system comprises: the mechanical wind vane and the wind cup type anemometer are arranged at the top of the fan cabin and are used for measuring a wind direction signal and a wind speed signal at the top of the cabin in real time; the special PLC is connected to the mechanical wind vane and the wind cup anemometer, obtains a wind direction signal measured by the mechanical wind vane, wind speed information output by the wind cup anemometer, a blade angle and an impeller rotating speed value of the wind turbine, judges whether the unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through an internal fault logic recognition algorithm, and executes corresponding unit stop and reset instructions. The system and the method for recognizing the leeward power generation state and early warning the fault can recognize the leeward power generation state and reason of the unit and perform unit early warning.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a leeward power generation state identification and fault early warning system and method.
Background
The early singava G5X series of units has the defects of wind logic design, which is mainly expressed as:
1) a2-bit Gray code signal consisting of high and low levels output by a mechanical wind vane 0-degree position sensor and a 90-degree position sensor is adopted, and whether the unit is accurately aligned to the wind is judged by judging the state of the signal and calculating the duty ratio of the signal. However, when one of the signals is wrong or continuously unchanged, the unit considers that the wind direction is changed, and the yaw is started to face the wind. When the signal of the yaw time exceeds more than 1000s (the yaw speed of the yaw system is 0.4 degree/s, the 1000s can yaw about 400 degrees), the unit reports the yaw overtime fault. Therefore, the unit has no code for judging the failure of the wind vane.
2) The existing PLC controller only has a judgment condition of wind speed small power large aiming at the mismatching fault of the wind speed and the power, and when the unit yaws in the period of strong wind, the wind speed large power is small at the moment, and the unit cannot report the fault, so that the unit is very easy to enter a leeward power generation state.
Above not enough for when the wind vane of unit broke down or received the torrent influence, the unit easily appears long-time driftage and looks for the wind state, runs in the leeward power generation state promptly, thereby leads to the uneven tower accident that takes place of unit load atress.
Disclosure of Invention
The invention aims to provide a leeward power generation state identification and fault early warning system and method, which can identify the leeward power generation state and reason of a unit and carry out unit early warning.
In order to solve the technical problem, the invention provides a leeward power generation state identification and fault early warning system, which comprises: the mechanical wind vane and the wind cup type anemometer are arranged at the top of the fan cabin and are used for measuring a wind direction signal and a wind speed signal at the top of the cabin in real time; the special PLC is connected to the mechanical wind vane and the wind cup anemometer, obtains a wind direction signal measured by the mechanical anemometer, wind speed information output by the wind cup anemometer, a blade angle and an impeller rotating speed value of the wind turbine, judges whether the unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through an internal fault logic recognition algorithm, and executes corresponding unit stop and reset instructions.
In some embodiments, further comprising: and the master control PLC is used for judging whether the unit accurately aligns to wind and determining whether the unit needs to yaw to find the wind.
In some embodiments, the master PLC determines whether the unit is properly facing the wind by comparing the status and duty cycle of the 0 degree position sensor signal and the 90 degree position sensor output signal.
In some embodiments, the mechanical wind vane comprises: a 0 degree position sensor, and a 90 degree position sensor.
In some embodiments, a 0 degree position sensor outputs a high (low) level signal with a duty cycle of [ Lmin, Lmax ], assuming no yaw is required; when the high-level duty ratio output by the 0-degree position sensor exceeds [ Lmin, Lmax ], the unit accurately aligns wind through yawing, and when the high (low) level duty ratio is detected to be restored within [ Lmin, Lmax ], the unit stops yawing; or when the output of the 90-degree position sensor is detected not to be at a high level and the duration lasts for several seconds, the unit starts yawing to adjust the wind, and when the output of the 90-degree position sensor is detected to return to the high level, the unit stops yawing.
In some embodiments, the condition for determining the logic condition of the leeward power generation fault caused by the mechanical wind vane fault in the fault logic identification algorithm comprises: the high and low level signals output by the 0-degree position sensor and the 90-degree position sensor of the mechanical wind vane form a 2-bit gray code, and the wrong phase sequence conversion sequence appears, namely the wrong phase sequence conversion sequence is from 01 → 10 or from 00 → 11 or from 10 → 01 or from 11 → 00; or the output signal of the 90-degree position sensor of the mechanical wind vane is unchanged at a low level for a long time, and the output signal of the 90-degree position sensor after the unit yaws by 250 degrees is always at a low level; or the output signal of the 0-degree position sensor of the mechanical wind vane is at low level for a long time and is unchanged, and the output signal of the 0-degree position sensor after the 0-degree yaw is at low level all the time after the 250-degree yaw.
In some embodiments, the turbulence-induced, leeward power generation fault logic condition determination condition in the fault logic identification algorithm comprises: after the unit enters a power generation state for two minutes, within a long time of 10s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value A corresponding to the average wind speed within the time period, and the duration time is 30 s; or after the unit enters a power generation state for two minutes, within a short time of 3s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value B corresponding to the average wind speed within the time period, and the duration time is 10 s; or after the unit enters a power generation state for two minutes, looking up a wind speed-rotating speed curve by using the average wind speed within 3s to obtain a theoretical rotating speed corresponding to the wind speed, wherein the current actual rotating speed is less than 50% of the theoretical rotating speed, and the duration is 30 s; or after the unit enters the power generation state for two minutes, looking up a wind speed-pitch angle curve by the average wind speed within 3s to obtain a theoretical blade angle corresponding to the wind speed, wherein the current actual blade angle is less than 50% of the theoretical blade angle, and the duration is 30 s.
In addition, the invention also provides a leeward power generation state identification and fault early warning method, which comprises the following steps: measuring a real-time wind direction signal at the top of the cabin through a mechanical wind vane arranged at the top of the cabin; the method comprises the steps of obtaining a wind direction signal measured by a mechanical wind vane, wind speed information output by a wind cup type anemometer, a blade angle of a wind machine and a rotating speed value of an impeller, judging whether a unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through an internal fault logic identification algorithm, and executing corresponding unit stop and reset instructions.
In some embodiments, the condition for determining the logic condition of the leeward power generation fault caused by the mechanical wind vane fault in the fault logic identification algorithm comprises: the high and low level signals output by the 0-degree position sensor and the 90-degree position sensor of the mechanical wind vane form a 2-bit gray code, and the wrong phase sequence conversion sequence appears, namely the wrong phase sequence conversion sequence is from 01 → 10 or from 00 → 11 or from 10 → 01 or from 11 → 00; or the output signal of the 90-degree position sensor of the mechanical wind vane is unchanged at a low level for a long time, and the output signal of the 90-degree position sensor after the unit yaws by 250 degrees is always at a low level; or the output signal of the 0-degree position sensor of the mechanical wind vane is at low level for a long time and is unchanged, and the output signal of the 0-degree position sensor after the 0-degree yaw is at low level all the time after the 250-degree yaw.
In some embodiments, the turbulence-induced, leeward power generation fault logic condition determination condition in the fault logic identification algorithm comprises: after the unit enters a power generation state for two minutes, within a long time of 10s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value A corresponding to the average wind speed within the time period, and the duration time is 30 s; or after the unit enters a power generation state for two minutes, within a short time of 3s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value B corresponding to the average wind speed within the time period, and the duration time is 10 s; or after the unit enters a power generation state for two minutes, looking up a wind speed-rotating speed curve by using the average wind speed within 3s to obtain a theoretical rotating speed corresponding to the wind speed, wherein the current actual rotating speed is less than 50% of the theoretical rotating speed, and the duration is 30 s; or after the unit enters the power generation state for two minutes, looking up a wind speed-pitch angle curve by the average wind speed within 3s to obtain a theoretical blade angle corresponding to the wind speed, wherein the current actual blade angle is less than 50% of the theoretical blade angle, and the duration is 30 s.
After adopting such design, the invention has at least the following advantages:
on the basis of not influencing the unit control and protection functions executed by the existing master control PLC, the identification of the unit leeward power generation state is carried out by adding an external PLC, and early warning is carried out on the dangerous operation condition of the unit leeward power generation, so that the safe and stable operation of the unit is greatly ensured.
Drawings
The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.
FIG. 1 is a schematic circuit diagram of a PLC controller function protection body suitable for use in the present invention;
FIG. 2 is a schematic view of the internal structure and installation position of a mechanical wind vane suitable for use in the present invention;
FIG. 3 is a schematic representation of a unit suitable for use in the present invention entering a leeward power generation state;
FIG. 4 is a reference threshold A for identification of a unit suitable for use in the present invention in a leeward power generating state;
fig. 5 is a reference threshold B for identification of the unit suitable for use in the present invention in a leeward power generating state.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a system and a method embodiment suitable for recognizing the leeward power generation state of a G5X series unit and early warning a fault, which are shown in figures 1, 2, 3, 4 and 5.
A leeward power generation fault identification and fault early warning method suitable for G5X series units comprises the following steps: introducing a wind direction signal output by a mechanical wind vane, wind speed information output by a wind cup type anemometer, a blade angle of a wind turbine and a rotating speed value of an impeller into a newly-added external PLC, judging whether a unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through a fault logic identification algorithm in the PLC, and executing corresponding unit stop and reset instructions. The main circuit structure is shown in fig. 1. The existing master control PLC controller normally executes the control and protection functions of the unit. The newly added external PLC controller is also called a special PLC.
Further, the wind direction sensor used in the G5X series unit is a mechanical wind vane, and is fixedly mounted on the top of the nacelle, as shown in fig. 2. The tail wing and the 180-degree half ring of the mechanical wind vane change along with the change of the wind direction and keep consistent with the wind direction. Mechanical 0 degree position sensor of wind vane and 90 degrees position sensor are mechanical fixed knot structure, and 0 degree position sensor is located cabin head direction, and 90 degrees position sensor is located the anticlockwise 90 degrees directions of 0 degree position sensor. When the 180-degree half ring shields the position sensor in the process of changing along with the wind direction, the position sensor outputs low level, and outputs high level when the position sensor is not shielded. The mechanical wind vane is in an ideal wind alignment state, the 180-degree half rings are in a left-right uniform swinging state under the disturbance of airflow, at the moment, the output of the 90-degree position sensor is always in a high level, the output of the 0-degree position sensor is in uniform change of high and low levels, and the duty ratio of the high (low) level is 50%.
Furthermore, the mechanical wind vane mainly judges whether the unit is accurately aligned to the wind or not through the state and duty ratio of signals output by the 0-degree position sensor and the 90-degree position sensor, and determines whether the unit needs to yaw for finding the wind or not, and the control instructions are given by the logic judgment of the existing main control PLC of the unit. In general, to avoid frequent yawing due to small changes in wind direction, the unit considers that yawing is not needed when the wind direction changes little, i.e., when the duty ratio of the high (low) level signal output by the 0-degree position sensor is [ 40%, 60% ]. When the 0-degree position sensor outputs that the high-level duty ratio exceeds [ 40%, 60% ], the unit accurately aligns wind through yawing, and when the high (low) level duty ratio is detected to be recovered to the range within [ 40%, 60% ], the unit stops yawing. Or when the output of the 90-degree position sensor is detected not to be at a high level and continues to be at a high level for several seconds, the unit starts yawing to adjust the wind, and when the output of the 90-degree position sensor is detected to return to the high level, the unit stops yawing.
Without loss of generality, the lower limit of the duty cycle is denoted as Lmin and the upper limit of the duty cycle is denoted as Lmax. Ideally, the duty ratio of the high (low) level signal output by the 0 degree position sensor should be 50%, and in order to avoid frequent yawing caused by small wind direction changes, the duty ratio is [ L ] when the wind direction changes littlemin，Lmax](0％<Lmin<50％<Lmax<100％，Lmin、LmaxNear 50%) the unit considers it to be not required to yaw.
Further, the unit enters a leeward power generation state caused by the mechanical wind vane fault, as shown in fig. 3. The logic judgment conditions of the leeward power generation fault are as follows:
(1) the high and low level signals output by the 0-degree position sensor and the 90-degree position sensor of the mechanical wind vane form a 2-bit gray code, and a wrong phase sequence conversion sequence appears, namely the wrong phase sequence conversion sequence is from 01 → 10 or from 00 → 11 or from 10 → 01 or from 11 → 00.
(2) The output signal of the 90-degree position sensor of the mechanical wind vane is low level and is unchanged for a long time, and the output signal of the 90-degree position sensor after the unit drifts by 250 degrees is always low level.
(3) The output signal of the 0-degree position sensor of the mechanical wind vane is at a low level for a long time and is unchanged, and the output signal of the 0-degree position sensor after the mechanical wind vane yaws for 250 degrees is always at a low level.
Further, when any one of the conditions (1) to (3) is satisfied, the mechanical vane can be determined to have a fault.
Further, the unit caused by the turbulence enters a leeward power generation state, and the logic judgment condition of the leeward power generation fault is as follows:
(1) after the unit enters a power generation state for two minutes, within a long time of 10s, the time duty ratio of the output signal of the 90-degree position sensor which is at a low level is greater than the time duty ratio threshold value A corresponding to the average wind speed within the time period, and the duration time is 30 s.
(2) After the unit enters a power generation state for two minutes, within a short time of 3s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than a time duty ratio threshold value B corresponding to the average wind speed within the time period, and the duration time is 10 s.
(3) And after the unit enters a power generation state for two minutes, looking up a wind speed-rotating speed curve by using the average wind speed within 3s to obtain a theoretical rotating speed corresponding to the wind speed, wherein the current actual rotating speed is less than 50% of the theoretical rotating speed, and the duration is 30 s.
(4) And after the unit enters a power generation state for two minutes, looking up a wind speed-pitch angle curve by using the average wind speed within 3s to obtain a theoretical blade angle corresponding to the wind speed, wherein the current actual blade angle is less than 50% of the theoretical blade angle, and the duration is 30 s.
Further, the threshold A, B is shown in fig. 4 and 5. The irregular semi-ring swinging amplitude of the mechanical wind vane at 180 degrees is positively correlated with the turbulence intensity. The larger the wind speed is, the smaller the turbulence is, and the larger the time duty ratio of the low level output by the 90-degree position sensor in a certain time is. The time duty cycle of the 90 degree position sensor output low level for a long period of time is slightly greater than for a short period of time.
Further, the leeward power generation identification logic can judge that the unit is in a leeward power generation state when any one of the conditions (1) to (4) is met.
Further, the judgment is that the unit is in a leeward power generation state caused by the fault of the mechanical wind vane, and after the fault is eliminated, manual reset starting should be carried out at the tower bottom or the engine room, and automatic reset is forbidden.
Further, the set is judged to be in a leeward power generation state caused by wind speed turbulence, and the set can be started in an automatic reset mode after the wind speed tends to be stable. The reset conditions are as follows: the time of the blade angle of the unit receiving the safe angle position exceeds 5 minutes, the duration of the unit rotating speed reducing to 0.3r/min is 5 minutes, and the automatic resetting failure frequency of the unit does not exceed 3 times.
Furthermore, the newly added external PLC controller utilizes the collected wind direction signals, namely the mechanical wind vane 0-degree position sensor and the mechanical wind vane 90-degree position sensor to output high and low level signals, and judges whether the mechanical wind vane has faults or not through a fault logic identification algorithm;
the collected wind direction signals, namely high and low level signals output by a 0-degree position sensor and a 90-degree position sensor, wind speed signals, and blade angles and impeller rotating speed values of a wind turbine are utilized to judge whether the unit is in a leeward power generation state or not through a fault logic identification algorithm.
Furthermore, the wind speed-pitch angle and wind speed-rotating speed curve of the unit can be obtained by looking up the factory specifications of the unit.
Further, the conditions for identifying the leeward power generation state of the unit are not satisfied, the unit is in a normal operation state, the original master control PLC normally executes the control and protection commands of the unit, and the newly-added PLC does not execute any command.
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 present invention in any way, and it will be apparent to those skilled in the art that the above description of the present invention can be applied to various modifications, equivalent variations or modifications without departing from the spirit and scope of the present invention.
Claims (10)
1. The utility model provides a leeward power generation state discernment and trouble early warning system which characterized in that includes:
the mechanical wind vane and the wind cup type anemometer are arranged at the top of the fan cabin and are used for measuring a wind direction signal and a wind speed signal at the top of the cabin in real time;
the special PLC is connected to the mechanical wind vane and the wind cup anemometer, acquires a wind direction signal measured by the mechanical anemometer, wind speed information output by the wind cup anemometer, a blade angle and an impeller rotating speed value of the wind turbine, judges whether the unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through an internal fault logic recognition algorithm, and executes corresponding unit stop and reset instructions.
2. The leeward power generation state identification and fault pre-warning system of claim 1, further comprising:
and the master control PLC is used for judging whether the unit accurately aligns to wind and determining whether the unit needs to yaw to find the wind.
3. The leeward power generation state identification and fault early warning system of claim 2, wherein the master control PLC determines whether the unit is accurately facing the wind by comparing the state and duty cycle of the signals output by the 0-degree position sensor and the 90-degree position sensor.
4. The leeward power generation state identification and fault warning system of claim 3, wherein the mechanical wind vane comprises: a 0 degree position sensor, and a 90 degree position sensor.
5. The leeward power generation state identification and fault early warning system of claim 4, wherein when the duty ratio of the high (low) level signal output by the 0 degree position sensor is [ Lmin, Lmax ], yaw is not considered to be needed;
when the high-level duty ratio output by the 0-degree position sensor exceeds [ Lmin, Lmax ], the unit accurately aligns wind through yawing, and when the high (low) level duty ratio is detected to be restored within [ Lmin, Lmax ], the unit stops yawing; or
When the output of the 90-degree position sensor is detected not to be at a high level, the unit starts yawing to adjust the wind after lasting for several seconds, and when the output of the 90-degree position sensor is detected to be restored to the high level, the unit stops yawing.
6. The leeward power generation state identification and fault early warning system of claim 1, wherein the logic condition judgment condition of the leeward power generation fault caused by the mechanical wind vane fault in the fault logic identification algorithm comprises:
the high and low level signals output by the 0-degree position sensor and the 90-degree position sensor of the mechanical wind vane form a 2-bit gray code, and the wrong phase sequence conversion sequence appears, namely the wrong phase sequence conversion sequence is from 01 → 10 or from 00 → 11 or from 10 → 01 or from 11 → 00; or
The output signal of the 90-degree position sensor of the mechanical wind vane is low level and is unchanged for a long time, and the output signal of the 90-degree position sensor after the unit yaws for 250 degrees is always low level; or
The output signal of the 0-degree position sensor of the mechanical wind vane is at a low level for a long time and is unchanged, and the output signal of the 0-degree position sensor after the mechanical wind vane yaws for 250 degrees is always at a low level.
7. The leeward power generation state identification and fault pre-warning system of claim 1, wherein the judgment conditions of leeward power generation fault logic conditions caused by turbulence in the fault logic identification algorithm comprise:
after the unit enters a power generation state for two minutes, within a long time of 10s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value A corresponding to the average wind speed within the time period, and the duration time is 30 s; or
After the unit enters a power generation state for two minutes, within a short time of 3s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than a time duty ratio threshold value B corresponding to the average wind speed within the time period, and the duration time is 10 s; or
After the unit enters a power generation state for two minutes, looking up a wind speed-rotating speed curve by an average wind speed within 3s to obtain a theoretical rotating speed corresponding to the wind speed, wherein the current actual rotating speed is less than 50% of the theoretical rotating speed, and the duration is 30 s; or
And after the unit enters a power generation state for two minutes, looking up a wind speed-pitch angle curve by using the average wind speed within 3s to obtain a theoretical blade angle corresponding to the wind speed, wherein the current actual blade angle is less than 50% of the theoretical blade angle, and the duration is 30 s.
8. A leeward power generation state identification and fault early warning method is characterized by comprising the following steps:
measuring real-time wind direction signals and wind speed signals at the top of the cabin by a mechanical wind vane and a wind cup anemometer which are arranged at the top of the cabin;
the method comprises the steps of obtaining a wind direction signal measured by a mechanical wind vane, wind speed information output by a wind cup type anemometer, a blade angle of a wind machine and a rotating speed value of an impeller, judging whether a unit is in a leeward power generation state or not and whether the reason causing the leeward power generation fault of the unit is the fault or turbulence of the mechanical wind vane or not through an internal fault logic identification algorithm, and executing corresponding unit stop and reset instructions.
9. The leeward power generation state identification and fault early warning method according to claim 8, wherein the logic condition judgment condition of the leeward power generation fault caused by the mechanical wind vane fault in the fault logic identification algorithm comprises:
the high and low level signals output by the 0-degree position sensor and the 90-degree position sensor of the mechanical wind vane form a 2-bit gray code, and the wrong phase sequence conversion sequence appears, namely the wrong phase sequence conversion sequence is from 01 → 10 or from 00 → 11 or from 10 → 01 or from 11 → 00; or
The output signal of the 90-degree position sensor of the mechanical wind vane is low level and is unchanged for a long time, and the output signal of the 90-degree position sensor after the unit yaws for 250 degrees is always low level; or
The output signal of the 0-degree position sensor of the mechanical wind vane is at a low level for a long time and is unchanged, and the output signal of the 0-degree position sensor after the mechanical wind vane yaws for 250 degrees is always at a low level.
10. The leeward power generation state identification and fault early warning method according to claim 8, wherein the judgment condition of the leeward power generation fault logic condition caused by turbulence in the fault logic identification algorithm comprises:
after the unit enters a power generation state for two minutes, within a long time of 10s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than the time duty ratio threshold value A corresponding to the average wind speed within the time period, and the duration time is 30 s; or
After the unit enters a power generation state for two minutes, within a short time of 3s, the time duty ratio of the output signal of the 90-degree position sensor, which is at a low level, is greater than a time duty ratio threshold value B corresponding to the average wind speed within the time period, and the duration time is 10 s; or
After the unit enters a power generation state for two minutes, looking up a wind speed-rotating speed curve by an average wind speed within 3s to obtain a theoretical rotating speed corresponding to the wind speed, wherein the current actual rotating speed is less than 50% of the theoretical rotating speed, and the duration is 30 s; or
And after the unit enters a power generation state for two minutes, looking up a wind speed-pitch angle curve by using the average wind speed within 3s to obtain a theoretical blade angle corresponding to the wind speed, wherein the current actual blade angle is less than 50% of the theoretical blade angle, and the duration is 30 s.
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