CN109581125B - Method and device for detecting service life of power module of wind power converter and storage medium - Google Patents
Method and device for detecting service life of power module of wind power converter and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting the service life of a power module of a wind power converter and a storage medium. The method comprises the following steps: obtaining historical temperature fluctuation data of the power module, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods; counting to obtain the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature according to the historical temperature fluctuation data; obtaining the total power cycle cycles corresponding to the designated fluctuation differences at the designated maximum temperatures according to the corresponding relation between the preset total power cycle cycles and the designated maximum temperatures; and calculating to obtain the residual service life of the power module according to the accumulated power cycle frequency and the total power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature and the running time length of the power module. By adopting the technical scheme in the embodiment of the invention, the service life detection precision of the converter power module can be improved.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a method and a device for detecting the service life of a power module of a wind power converter and a storage medium.
Background
The wind power converter is a core component for grid connection of electric energy of the wind generating set, a power module is arranged in the converter, and each power unit in the power module consists of an insulated gate bipolar transistor IGBT and a diode chip connected with the IGBT in parallel. For example, in a single power cycle period of the converter, the diode chip may have temperature fluctuation, and because the junction-shell thermal resistance of the diode chip is high and the diode chip may operate in a low-frequency and/or negative power factor state, the diode chip is easily and continuously in a state of high temperature and large temperature fluctuation amplitude, so that the diode connection line is easily broken and peeled off, and the converter power module fails.
The service life of the converter power module refers to the total power cycle number of the power module which can operate, and actually, the service life of the converter power module can reach millions of cycles of power cycles. In the prior art, the service life simulation evaluation is only carried out on the converter power module by using the historical meteorological data of the wind power plant at the initial design stage of the converter, any test research about the power life of the converter is not carried out, and the historical meteorological data of the wind power plant cannot accurately reflect the service life of the power of a single converter, so that the service life detection precision of the converter power module is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting the service life of a power module of a wind power converter and a storage medium, which can determine the service life of the power module of the converter according to historical temperature fluctuation data of the power module of a single converter, thereby improving the service life detection precision of the power module of the converter.
In a first aspect, an embodiment of the present invention provides a method for detecting a lifetime of a power module of a wind power converter, including:
obtaining historical temperature fluctuation data of the power module, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods;
counting to obtain the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature according to the historical temperature fluctuation data;
obtaining the total power cycle cycles corresponding to the designated fluctuation differences at the designated maximum temperatures according to the corresponding relation between the preset total power cycle cycles and the designated maximum temperatures;
and calculating to obtain the residual service life of the power module according to the accumulated power cycle frequency and the total power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature and the running time length of the power module.
In one possible implementation of the first aspect, all the run periods are: the converter side power is at all operational periods within a predetermined power interval.
In one possible embodiment of the first aspect, the predetermined power interval is a power interval determined by 90% of the converter-side rated power and 100% of the converter-side rated power.
In a possible implementation manner of the first aspect, calculating the remaining life of the power module according to the accumulated power cycle, the total power cycle, and the running time of the power module corresponding to each specified fluctuation difference at each specified maximum temperature includes: calculating a ratio of an accumulated power cycle to a total power cycle determined by each specified maximum temperature and each specified fluctuation difference for each specified maximum temperature and each specified fluctuation difference; calculating the sum of all ratios corresponding to all the specified fluctuation differences at all the specified maximum temperatures; and taking the product of the reciprocal of the sum and the operated time length of the power module as the total estimated service life of the power module, and taking the difference value of the total estimated service life and the operated time length as the residual service life of the power module.
In a possible implementation manner of the first aspect, the corresponding relationship corresponding to each specified fluctuation difference at each specified maximum temperature according to the preset total power cycle is determined according to the following steps: and aiming at each specified maximum temperature and each specified fluctuation difference, obtaining the corresponding relation between the preset total power cycle and the specified maximum temperature and the specified fluctuation difference according to the corresponding relation between the preset total power cycle and the first preset maximum temperature and the specified fluctuation difference and the corresponding relation between the preset total power cycle and the second preset maximum temperature and the specified fluctuation difference.
In a possible embodiment of the first aspect, the correspondence between the preset total power cycle cycles and the specified maximum temperature and the specified fluctuation difference is determined according to the following formula:
N_t1＝a×10b×ΔT-c
N_t2＝d×10e×ΔT-f
wherein T1 is a first preset maximum temperature, and N _ T1 is a corresponding relation between the total power cycle frequency and T1 and a specified fluctuation difference delta T, and is represented by fixed constants a, b and c; t2 is a second preset maximum temperature, N _ T2 is a corresponding relation between the total power cycle frequency and T2 and a specified fluctuation difference delta T, and is represented by fixed constants d, e and f; n _ delta T is the corresponding relation between the cycle number of the initial total power and the specified maximum temperature T _ max and the specified fluctuation difference delta T and is expressed by fixed constants a, b, c, d, e, f, g and h; n _ total (delta T, Tmax) is the corresponding relation between the total power cycle number and the specified maximum temperature T _ max and the specified fluctuation difference delta T under the condition of the converter output period T, and is expressed by fixed constants a, b, c, d, e, f, g, h, K and l.
In a possible implementation manner of the first aspect, after calculating the remaining lifetime of the power module, the method further includes: comparing the remaining life with a remaining life alarm threshold; and if the residual service life and the residual service life alarm threshold are greater than or equal to the residual service life threshold, sending alarm information indicating that the residual service life of the power module is insufficient to a main controller or a converter controller of the wind generating set.
In a second aspect, an embodiment of the present invention provides a device for detecting a lifetime of a power module of a wind power converter, including:
the historical temperature fluctuation data acquisition module is used for acquiring historical temperature fluctuation data of the power module, and the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods related to the output power of the wind generating set;
the accumulated power cycle frequency counting module is used for counting to obtain the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified highest temperature according to the historical temperature fluctuation data;
the total power cycle calculation module is used for obtaining the total power cycle corresponding to each specified fluctuation difference at each specified maximum temperature according to the corresponding relation between the preset total power cycle and each specified maximum temperature;
and the power module residual life calculating module is used for calculating the residual life of the power module according to the accumulated power cycle frequency and the total power cycle frequency which correspond to each specified fluctuation difference at each specified highest temperature and the running time length of the power module.
In a possible embodiment of the second aspect, the power module remaining life calculation module is specifically configured to calculate, for each specified maximum temperature and each specified fluctuation difference, a ratio of an accumulated power cycle number to a total power cycle number determined by the specified maximum temperature and the specified fluctuation difference; calculating the sum of all ratios corresponding to all the specified fluctuation differences at all the specified maximum temperatures; and taking the product of the reciprocal of the sum and the operated time length of the power module as the total estimated service life of the power module, and taking the difference value of the total estimated service life and the operated time length as the residual service life of the power module.
In one possible embodiment of the second aspect, the device is provided in a master controller or converter controller of the wind energy installation.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the method for detecting the lifetime of the power module of the wind power converter as described above.
The embodiment of the invention can obtain the highest temperature data and fluctuation difference data of the power module in all the running periods, and count the accumulated power cycle corresponding to each specified fluctuation difference at each specified highest temperature according to historical temperature fluctuation data, thereby obtaining the life rule of the power module from installation and starting to the present.
Compared with the prior art that historical meteorological data of a wind power plant cannot accurately reflect the service life of the power of a single converter, the service life of the power module of the converter is determined according to the historical temperature fluctuation data of the power module of the single converter, so that the service life detection precision of the power module of the converter can be improved.
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The present invention may be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings, in which like or similar reference characters identify like or similar features.
Fig. 1 is a schematic flowchart illustrating a method for detecting a lifetime of a converter power module according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an influence of converter-side power on a cycle of power cycle of a converter power module according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a method for detecting a lifetime of a converter power module according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a lifetime detection apparatus for a converter power module according to an embodiment of the present invention;
fig. 5 is a logic block diagram of a lifetime detection apparatus for a converter power module according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention.
In actual operation, the temperature of the diode chip cannot be directly measured, and the temperature change of the diode chip can be reflected through the temperature change of the converter power module, so that the power cycle life of the power module is reflected.
Based on the above, the embodiment of the invention provides a method and a device for detecting the service life of a power module of a wind power converter, and a storage medium.
Fig. 1 is a schematic flowchart of a method for detecting a lifetime of a converter power module according to an embodiment of the present invention. As shown in fig. 1, the lifetime detection method includes steps 101 to 104.
In step 101, historical temperature fluctuation data of the power module is obtained, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods.
When the power module works in a low-frequency operation condition, an output period (operation period) is T, a temperature fluctuation period is also delta T, the maximum temperature Tmax and the minimum temperature Tmin of the power module in each temperature fluctuation period (namely one power cycle) can be calculated in real time, and the maximum temperature Tmax and the fluctuation difference data delta T of the power module in each operated period are stored online by adopting an array method, wherein the delta T is Tmax-Tmin.
In step 102, the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature is obtained through statistics according to the historical temperature fluctuation data.
That is, the maximum temperature Tmax and the fluctuation difference Δ T in each power module operation period T are calculated, the maximum temperature Tmax and the fluctuation difference Δ T are matched with the plurality of specified maximum temperatures and the plurality of specified fluctuation differences, and then 1 is added to the integrated power cycle frequency of the matched specified maximum temperature Tmax and the specified fluctuation difference Δ T.
In one example, considering a combination of a specified maximum temperature and a specified fluctuation difference, for M specified maximum temperatures and N specified fluctuation differences, an M × N set of accumulated power cycle cycles may be obtained.
In step 103, a total power cycle corresponding to each specified fluctuation difference at each specified maximum temperature is obtained according to a corresponding relationship between a preset total power cycle and each specified maximum temperature.
In step 104, the remaining life of the power module is calculated according to the accumulated power cycle, the total power cycle, and the running time of the power module corresponding to each specified fluctuation difference at each specified maximum temperature.
The running time of the power module refers to the total electrifying time of the converter, namely the total running time after the converter is started, and comprises a stage that the converter does not discharge when the wind generating set is in a low wind or no wind working condition.
Based on the linear accumulated damage theory: fatigue damage under various stress levels is independently carried out, the damage can be linearly accumulated, when the accumulated damage reaches a certain value, fatigue damage occurs to the internal structure of the power module, and therefore the overall service life rule of the power module can be obtained by analyzing the temperature fluctuation data randomly appearing from installation starting to the present of the converter power module.
The embodiment of the invention can obtain the highest temperature data and fluctuation difference data of the power module in all the running periods, and count the accumulated power cycle corresponding to each specified fluctuation difference at each specified highest temperature according to historical temperature fluctuation data, thereby obtaining the life rule of the power module from installation and starting to the present.
Compared with the prior art that historical meteorological data of a wind power plant cannot accurately reflect the service life of the power of a single converter, the service life of the power module of the converter is determined according to the historical temperature fluctuation data of the power module of the single converter, so that the service life detection precision of the power module of the converter can be improved.
In specific implementation, the embodiment of the invention can count the temperature data of the random chip on line, calculate the service life of the power module under the condition of a certain temperature point, and then write fixed data into the execution software of the converter controller, thereby reducing the software calculation space of the converter controller.
In addition, the running power states of all the converter units in a certain wind power plant are analyzed to find that: the time difference of the running of the units close to each other at the position near the rated power point of the converter side is large, and the generated energy is different.
For example, the operating time of the blower No. A above 90% rated power accounts for 5% in each year; the operation time of the A +1 blower which is adjacent reaches 10% above 90% rated power; the power cycle life of the power module may differ by more than a factor of 2 in both cases through offline data analysis.
Fig. 2 is a schematic diagram illustrating an influence of converter-side power on a power cycle of a converter power module according to an embodiment of the present invention, where an abscissa is a power point, the power point is segmented by 2% of an equidifferent of converter-side rated power, and an ordinate is a power cycle life ratio.
As can be seen from fig. 2, the power cycle life proportion of the power segments around the rated power (including power points 100%, 98%, 96%, 94%, 92% and 90%) is approximately equal to 90%, i.e., occupies 90% of the power cycle life. Therefore, in order to reduce the difficulty of software development, only the temperature fluctuation data of all the running periods of the converter side power in a preset power interval can be counted. In one example, the predetermined power interval is a power interval determined by 90% of rated power of the converter and 100% of rated power of the converter.
In one example, considering the influence of different environmental temperatures, since the maximum temperature of the power module near the rated power point is between 81 ℃ and 140 ℃, the fluctuation difference of the power module is between 18K and 35K, and for the currently common connecting wire made of aluminum, if the temperature fluctuation is lower than 18K, the influence on the power cycle life can be negligible, therefore, a plurality of specified maximum temperatures can be in the temperature range [81,140], and a plurality of specified fluctuation differences can be in the fluctuation difference range [18K-35K ].
Fig. 3 is a schematic flowchart of a method for detecting a lifetime of a converter power module according to another embodiment of the present invention. Fig. 3 differs from fig. 1 in that step 104 in fig. 1 can be subdivided into steps 1041 to 1043 in fig. 3.
In step 1041, for each specified maximum temperature and each specified fluctuation difference, a ratio of the cumulative power cycle to the total power cycle sum determined from the specified maximum temperature and the specified fluctuation difference is calculated.
In step 1042, the sum of all ratios corresponding to the respective specified fluctuation differences at all specified maximum temperatures is calculated.
In step 1043, the product of the reciprocal of the sum and the operated duration of the power module is taken as the total estimated lifetime of the power module, and the difference between the total estimated lifetime and the operated duration is taken as the remaining lifetime of the power module.
The calculation process in fig. 3 is described in detail below by way of example.
Table 1 shows the cumulative power cycle statistics N _ real _ ij determined from a plurality of different specified maximum temperatures and a plurality of different specified fluctuation differences;
table 2 shows a given result N _ total _ ij of total power cycle cycles determined by a plurality of different specified maximum temperatures and a plurality of different specified fluctuation differences;
TABLE 1
TABLE 2
Where i is a row number, j is a column number, the plurality of specified maximum temperatures shown in tables 1 and 2 are 140 ℃, 139 ℃..82 ℃ and 81 ℃, respectively, and the plurality of specified fluctuation differences are 35K, 34K … … 19K, and 18K, respectively.
In conjunction with tables 1 and 2, the total estimated lifetime T _ total of the power module may be expressed as:
the remaining life of the power module, T rem, may be expressed as:
T_rem＝T_total-T_real (2)
the proportion of life time D _ loss that the power module has lost can be expressed as:
wherein, T _ real is the running time length of the power module.
In specific implementation, the given result N _ total _ ij of the total power cycle can be written into software of the converter controller in a table form, and extracted in a software query manner.
In an example, for each specified maximum temperature and each specified fluctuation difference, the corresponding relationship between the preset total power cycle and the specified maximum temperature and the specified fluctuation difference is obtained according to the corresponding relationship between the total power cycle and the first preset maximum temperature and the specified fluctuation difference, and the corresponding relationship between the total power cycle and the second preset maximum temperature and the specified fluctuation difference, and then N _ total _ ij is obtained through table lookup.
In another example, considering that the operating frequency changes and has different output periods T in the operating process of the converter, the corresponding relationship between the initial total power cycle and the specified maximum temperature and the specified fluctuation difference can be obtained according to the corresponding relationship between the total power cycle and the first preset maximum temperature and the specified fluctuation difference as well as the corresponding relationship between the total power cycle and the second preset maximum temperature and the specified fluctuation difference; and periodically correcting the corresponding relation between the initial total power cycle frequency and the specified maximum temperature and the specified fluctuation difference to obtain the corresponding relation between the preset total power cycle frequency and the specified maximum temperature and the specified fluctuation difference, and then obtaining N _ total _ ij by looking up a table.
For example, the corresponding relation N _ total (Δ T, Tmax) between the total power cycle frequency and the specified maximum temperature Tmax and the specified fluctuation difference Δ T can be calculated according to equations (4) to (7):
N_t1＝a×10b×ΔT-c (6)
N_t2＝d×10e×ΔT-f (7)
wherein T1 is a first preset maximum temperature, N _ T1 is a corresponding relationship between the total power cycle frequency and T1 and a specified fluctuation difference Δ T, and is represented by fixed constants a, b, and c, which can also be understood as the total power cycle frequency of the power module under the conditions of the maximum temperature of T1 (such as 100 ℃), the fluctuation difference Δ T, and a fixed heating time (such as 1.5 s);
t2 is a second preset maximum temperature, N _ T2 is a corresponding relation between the total power cycle frequency and T2 and a specified fluctuation difference Δ T, and is represented by fixed constants d, e and f, which can also be understood as the total power cycle frequency of the power module under the conditions that the maximum temperature is T2 (such as 150 ℃), the fluctuation difference is Δ T and the heating time is fixed (such as 1.5 s);
n _ Δ T is a corresponding relationship between the initial total power cycle and a specified maximum temperature T _ max and a specified fluctuation difference Δ T, and is represented by fixed constants a, b, c, d, e, f, g, h, which can also be understood as the total power cycle of the power module under the conditions of the maximum temperature T _ max, the fluctuation difference Δ T and a fixed heating time (for example, 1.5 s);
since the operating frequency changes during the operation of the converter, different output periods T occur, and different heating times occur, in the case of actual operation of the converter, N _ total (Δ T, Tmax) represents the cycle of the total power cycle with the maximum temperature T _ max and the fluctuation difference Δ T in the case of the output period T, and is represented by fixed constants a, b, c, d, e, f, g, h, K, and l.
In addition, after the remaining life of the power module is obtained through calculation, the life detection method in the embodiment of the present invention further includes: comparing the remaining life with a remaining life alarm threshold; if the remaining life and the remaining life alarm threshold are larger than or equal to the remaining life threshold, alarm information indicating that the remaining life of the power module is insufficient is sent to a main controller or a converter controller of the wind generating set, and when converter maintenance personnel accurately know the remaining life of the power module, prevention work can be done in advance to prevent a certain wind generating set from continuously outputting full power for an overlong time.
Further, after alarm information that the residual service life of a power module of a certain wind generating set is insufficient appears, the wind power plant controller can reduce the generating power of the converter, or a maximum current limiting point of a machine side power module is provided to prevent the phenomenon of batch failure in the later period of the wind power plant, so that the operation reliability of a certain converter in the wind power plant is improved.
In addition, in the IGBT type selection stage during the design of the converter, historical temperature fluctuation data of IGBT junction temperature random variation can be read, the selected IGBT type can be predicted to meet the use requirement in advance, and the reliability of the design is improved.
Fig. 4 is a schematic structural diagram of a life detection apparatus of a converter power module according to an embodiment of the present invention, and as shown in fig. 4, the life detection apparatus includes a historical temperature fluctuation data obtaining module 401, an accumulated power cycle frequency counting module 402, a total power cycle frequency calculating module 403, and a power module remaining life calculating module 404.
The historical temperature fluctuation data obtaining module 401 is used for obtaining historical temperature fluctuation data of the power module, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods related to the output power of the wind generating set.
The cumulative power cycle count module 402 is configured to count, according to the historical temperature fluctuation data, a cumulative power cycle corresponding to each specified fluctuation difference at each specified maximum temperature.
The total power cycle count module 403 is configured to obtain a total power cycle count corresponding to each specified fluctuation difference at each specified maximum temperature according to a corresponding relationship between a preset total power cycle count and each specified maximum temperature corresponding to each specified fluctuation difference.
The power module remaining life calculating module 404 is configured to calculate a remaining life of the power module according to the accumulated power cycle, the total power cycle corresponding to each specified fluctuation difference at each specified maximum temperature, and the running duration of the power module.
Specifically, the power module remaining life calculation module 404 is configured to calculate, for each specified maximum temperature and each specified fluctuation difference, a ratio of an accumulated power cycle number to a total power cycle number determined by the specified maximum temperature and the specified fluctuation difference; calculating the sum of all ratios corresponding to all the specified fluctuation differences at all the specified maximum temperatures; and taking the product of the reciprocal of the sum and the operated time length of the power module as the total estimated service life of the power module, and taking the difference value of the total estimated service life and the operated time length as the residual service life of the power module.
Fig. 5 is a logic block diagram of a life detection apparatus of a converter power module provided in an embodiment of the present invention, which is used to help understand a life detection method of a wind power converter power module in the embodiment of the present invention.
Firstly, extracting a Tj fluctuation model from temperature data Tj obtained based on an IGBT thermal model by a historical temperature fluctuation data obtaining module 401 according to an output period T of a converter, and outputting maximum temperature data Tj _ max and fluctuation difference data delta T in all running periods related to the output power of a wind generating set;
then, the cumulative power cycle frequency statistical module 402 statistically obtains the cumulative power cycle frequency N _ real _ ij corresponding to each specified fluctuation difference at each specified maximum temperature based on the random fluctuation model;
next, the total power cycle calculation module 403 offline calculates the total power cycle cycles N _ total _ ij corresponding to the specified fluctuation differences at the specified maximum temperatures;
finally, the power module remaining life calculation module 404 calculates the IGBT life based on the linear damage theory according to N _ real _ ij, N _ total _ ij and the operating time T _ real of the power module.
In particular, the amount of the solvent to be used,
and (4) calculating the total estimated service life T _ total of the power module according to the formula (1).
The remaining life T rem of the power module is calculated according to equation (2).
The proportion of life time that the power module has been lost, D _ loss, is according to equation (3).
As described above, the present invention provides a software implementation method for online service life calculation of a converter power module, which can be implemented in each converter, has the advantages of low implementation cost and low software development difficulty, and can give the remaining power cycle life of the converter side power module and an early warning value. The carrier of the online service life calculation software of the converter power module can be in a main controller of a wind generating set, a converter controller, a wind power plant central controller, and is not limited herein.
In addition, the embodiment of the invention also provides a computer readable storage medium, on which a program is stored, and when the program is executed by a processor, the method for detecting the service life of the power module of the wind power converter is implemented.
It should be clear that the embodiments in this specification are described in a progressive manner, and the same or similar parts in the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. For the device embodiments, reference may be made to the description of the method embodiments in the relevant part. Embodiments of the invention are not limited to the specific steps and structures described above and shown in the drawings. Those skilled in the art may make various changes, modifications and additions to, or change the order between the steps, after appreciating the spirit of the embodiments of the invention. Also, a detailed description of known process techniques is omitted herein for the sake of brevity.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of an embodiment of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
Embodiments of the present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. For example, the algorithms described in the specific embodiments may be modified without departing from the basic spirit of the embodiments of the present invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the embodiments of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (10)
1. A service life detection method for a power module of a wind power converter comprises the following steps:
obtaining historical temperature fluctuation data of the power module, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods;
counting to obtain the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature according to the historical temperature fluctuation data;
obtaining the total power cycle cycles corresponding to the designated fluctuation differences at the designated maximum temperatures according to the corresponding relation between the preset total power cycle cycles and the designated maximum temperatures;
and calculating to obtain the residual service life of the power module according to the accumulated power cycle frequency and the total power cycle frequency corresponding to each specified fluctuation difference at each specified maximum temperature and the running time length of the power module.
2. The method of claim 1, wherein the all run periods are: the converter side power is at all operational periods within a predetermined power interval.
3. The method of claim 2, wherein the predetermined power interval is a power interval determined by 90% of the converter-side rated power and 100% of the converter-side rated power.
4. The method of any of claims 1-3, wherein said calculating a remaining life of said power module based on a cumulative power cycle count, a total power cycle count, and an elapsed operational time length of said power module for each of said specified fluctuation differences at each of said specified maximum temperatures comprises:
calculating, for each of the specified maximum temperatures and each of the specified fluctuation differences, a ratio of an accumulated power cycle to a total power cycle determined by the specified maximum temperature and the specified fluctuation difference;
calculating the sum of all ratios corresponding to all the specified fluctuation differences at all the specified maximum temperatures;
and taking the product of the reciprocal of the sum and the operated time length of the power module as the total estimated service life of the power module, and taking the difference value of the total estimated service life and the operated time length as the residual service life of the power module.
5. The method of claim 1, wherein the correspondence for each specified fluctuation difference at each specified maximum temperature according to the preset total power cycle cycles is determined according to the following steps:
and aiming at each specified maximum temperature and each specified fluctuation difference, obtaining the corresponding relation between the preset total power cycle and the specified maximum temperature and the specified fluctuation difference according to the corresponding relation between the preset total power cycle and a first preset maximum temperature and the specified fluctuation difference and the corresponding relation between the preset total power cycle and a second preset maximum temperature and the specified fluctuation difference.
6. The method of claim 1, wherein the preset total power cycle cycles versus the specified maximum temperature and the specified fluctuation difference is determined according to the following formula:
N_t1＝a×10b×ΔT-c
N_t2＝d×10e×ΔT-f
wherein T1 is a first preset maximum temperature, and N _ T1 is a corresponding relation between the total power cycle frequency and T1 and a specified fluctuation difference delta T, and is represented by fixed constants a, b and c; t2 is a second preset maximum temperature, N _ T2 is a corresponding relation between the total power cycle frequency and T2 and a specified fluctuation difference delta T, and is represented by fixed constants d, e and f; n _ delta T is the corresponding relation between the cycle number of the initial total power and the specified maximum temperature T _ max and the specified fluctuation difference delta T and is expressed by fixed constants a, b, c, d, e, f, g and h; n _ total (delta T, Tmax) is the corresponding relation between the total power cycle number and the specified maximum temperature T _ max and the specified fluctuation difference delta T under the condition of the converter output period T, and is expressed by fixed constants a, b, c, d, e, f, g, h, K and l.
7. A life detection device of a wind power converter power module comprises:
a historical temperature fluctuation data obtaining module for obtaining historical temperature fluctuation data of the power module, wherein the historical temperature fluctuation data comprises highest temperature data and fluctuation difference data of the power module in all running periods related to the output power of the wind generating set;
the accumulated power cycle frequency counting module is used for counting to obtain the accumulated power cycle frequency corresponding to each specified fluctuation difference at each specified highest temperature according to the historical temperature fluctuation data;
the total power cycle calculation module is used for obtaining the total power cycle corresponding to each specified fluctuation difference at each specified maximum temperature according to the corresponding relation between the preset total power cycle and each specified maximum temperature;
and the power module residual life calculating module is used for calculating the residual life of the power module according to the accumulated power cycle frequency and the total power cycle frequency which correspond to each specified fluctuation difference at each specified maximum temperature and the running time length of the power module.
8. The apparatus of claim 7, wherein the power module remaining life calculation module is specifically configured to calculate, for each of the specified maximum temperatures and each of the specified fluctuation differences, a ratio of a cumulative power cycle to a total power cycle determined by the specified maximum temperature and the specified fluctuation difference; calculating the sum of all ratios corresponding to all the specified fluctuation differences at all the specified maximum temperatures; and taking the product of the reciprocal of the sum and the operated time length of the power module as the total estimated service life of the power module, and taking the difference value of the total estimated service life and the operated time length as the residual service life of the power module.
9. The device according to claim 7 or 8, wherein the device is provided in a main controller or converter controller of the wind park.
10. A computer readable storage medium, on which a program is stored, wherein the program, when executed by a processor, implements a method for lifetime detection of a wind power converter power module according to any of claims 1-6.
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