CN109669342B - Convergence state detection method and device for converter control system and storage medium - Google Patents
Convergence state detection method and device for converter control system and storage medium Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B1/00—Comparing elements, i.e. elements for effecting comparison directly or indirectly between a desired value and existing or anticipated values
- G05B1/01—Comparing elements, i.e. elements for effecting comparison directly or indirectly between a desired value and existing or anticipated values electric
- G05B1/02—Comparing elements, i.e. elements for effecting comparison directly or indirectly between a desired value and existing or anticipated values electric for comparing analogue signals
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The embodiment of the invention discloses a convergence state detection method and device of a converter control system and a storage medium. The method comprises the steps of obtaining feedback values of target control variables to which a plurality of phases belong in a converter control system; calculating a standard deviation for each phase based on difference values of a plurality of feedback values of the phase and a preset given value within a first preset time period, wherein the first preset time period comprises a current moment and N-1 moments ahead of the current moment, and N is an integer greater than or equal to 1; respectively comparing the standard deviation of a plurality of phases with a convergence protection threshold value; and judging the convergence state of the converter controller according to the comparison result. By adopting the technical scheme in the embodiment of the invention, the misjudgment rate of the convergence state of the converter control system can be reduced.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a convergence state detection method and device of a converter control system and a storage medium.
Background
The wind power converter is a core component of the electric energy grid connection of the wind generating set, and when the control variable is in a convergence state, the wind power converter control system can stably operate. The control variable is in a convergence state, namely, a feedback value of the control variable follows a set value, and when the feedback value deviates from the set value, the system is in a destabilization state, and the control system is unstable.
At present, error protection is generally adopted for convergence protection of a converter control system, and system protection is adopted by comparing the set value of a control variable with the error value of a feedback value, but the error protection mode has poor adaptability and high misjudgment rate on the convergence state of the converter control system.
Disclosure of Invention
The embodiment of the invention provides a convergence state detection method and device of a converter control system and a storage medium, which can reduce the misjudgment rate of the convergence state of the converter control system.
In a first aspect, an embodiment of the present invention provides a method for detecting a convergence state of a converter control system, including:
obtaining feedback values of target control variables to which a plurality of phases belong in a converter control system;
calculating a standard deviation for each phase based on difference values of a plurality of feedback values of the phase and a preset given value within a first preset time period, wherein the first preset time period comprises a current moment and N-1 moments ahead of the current moment, and N is an integer greater than or equal to 1;
respectively comparing the standard deviation of the multiple phases with a convergence protection threshold value;
and judging the convergence state of the converter controller according to the comparison result.
In a possible implementation manner of the first aspect, the determining the convergence state of the converter control system according to the comparison result includes: if the standard deviation of any phase in the multiple phases is larger than the convergence protection threshold value, determining that the converter control system is in an abnormal convergence state; and if the standard deviations of the multiple phases are all smaller than or equal to the convergence protection threshold value, determining that the converter control system is in a normal convergence state.
In a possible implementation manner of the first aspect, the method further includes: and if the converter control system is in an abnormal convergence state, blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set.
In a possible implementation manner of the first aspect, the method further includes: and if the converter control system is continuously in the abnormal convergence state within a second preset time period, blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set, wherein the second preset time period comprises the current moment and M-1 moments backward from the current moment, and M is an integer greater than or equal to 1.
In one possible implementation manner of the first aspect, obtaining feedback values of target control variables to which a plurality of phases belong in the converter control system includes: determining that a converter control system is in a modulation state; and acquiring feedback values of target control variables to which a plurality of phases in the converter control system belong, wherein the target control variables comprise output current or output voltage of the converter control system.
In a second aspect, an embodiment of the present invention provides a convergence status detection apparatus for a converter control system, including:
the feedback value obtaining module is used for obtaining feedback values of target control variables to which a plurality of phases belong in a converter control system;
the standard deviation calculation module is used for calculating a standard deviation for each phase based on the difference value between a plurality of feedback values of the phase and a preset given value in a first preset time period, wherein the first preset time period comprises the current moment and N-1 moments ahead from the current moment, and N is an integer greater than or equal to 1;
the comparison processing module is used for respectively comparing the standard deviation of the multiple phases with the convergence protection threshold;
and the state judgment module is used for judging the convergence state of the converter controller according to the comparison result.
In a possible implementation manner of the second aspect, the state determining module is specifically configured to determine that the converter control system is in an abnormal convergence state if a standard deviation of any one of the multiple phases is greater than a convergence protection threshold; and if the standard deviations of the multiple phases are all smaller than or equal to the convergence protection threshold value, determining that the converter control system is in a normal convergence state.
In a possible embodiment of the second aspect, the wind turbine generator system further comprises a fault handling module, configured to lock out modulation pulses of the converter control system and perform a shutdown operation on the wind turbine generator system if the converter control system is in an abnormal convergence state; or if the converter control system is continuously in an abnormal convergence state within a second preset time period, blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set, wherein the second preset time period comprises the current time and M-1 times backward from the current time, and M is an integer greater than or equal to 1.
In a possible embodiment of the second aspect, the device is provided in a converter controller of the wind turbine generator system.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the convergence status detection apparatus of the converter control system as above.
As described above, in the embodiment of the present invention, in order to detect the convergence state of the converter control system, the feedback values of the target control variables to which the plurality of phases belong in the converter control system may be obtained first, and for each phase, the standard deviation may be calculated based on the difference between the plurality of feedback values of the phase in the first predetermined time period and a preset given value. Compared with a conventional error judgment mode, the standard deviation can accurately reflect the fluctuation condition of the converter control system under the working conditions that the extreme value is not exceeded, the extreme value protection is not triggered, the divergence is not performed or the divergence is very slow, the system convergence protection can be realized, certain robustness is realized, the misjudgment on the system convergence state can be avoided, and the judgment accuracy is improved.
Drawings
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 diagram of a grid-connected structure of a wind generating set according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a converter grid side sub-control system according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a method for detecting a convergence status of a converter control system according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a convergence status detection method of a converter control system according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a convergence status detection apparatus of a converter control system 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.
Fig. 1 is a schematic diagram of a grid-connected structure of a wind turbine generator system according to an embodiment of the present invention. As shown in fig. 1, a converter 100 is provided between the wind turbine generator set and the grid.
The converter 100 comprises, in order from the generator side to the grid side, a rectifier 101, a brake unit 102 and an inverter 103. The power module in the rectifier 101 includes a full-bridge structure composed of 6 IGBTs, and is used for rectifying three-phase alternating current generated by the wind turbine generator system. The braking unit 102 includes a half-bridge structure of 2 IGBTs for consuming active power to maintain the dc bus voltage at a stable value. The power module in the inverter 103 includes a full-bridge structure composed of 6 IGBTs, and is used for converting the rectified direct current into a three-phase alternating current again and incorporating the three-phase alternating current into the power grid.
Generally, a converter control system can be divided into a machine side sub-control system and a network side sub-control system, at present, convergence protection generally exists in both subsystems, and most of the convergence protection is extreme value protection, taking overcurrent protection of a power module as an example, when the current of the power module exceeds a set threshold, overcurrent protection is triggered, so that a unit enters a fault and stops; or, the protection is performed by using a conventional error value, the error refers to the difference between the feedback value and the set value, and is expressed by an absolute error or a relative error, the error value protection has the possibility of misjudgment, and the protection function has poor adaptability.
Fig. 2 is a schematic diagram of a converter grid side sub-control system according to an embodiment of the present invention.
Wherein, the power calculator 201 is based on the three-phase feedback current i of the converter network side abc And three-phase feedback voltage u abc Calculating power feedback value Q, and a PI feedback regulator according to the power feedback value Q and given power value Q ref Obtaining a reactive current reference value i q_ref (ii) a Another PI feedback regulator feeds back a value U according to the voltage of the direct current bus dc Given value U of sum DC bus voltage dc_ref To obtain a reactive current reference value i d_ref 。
Meanwhile, the PLL is based on three-phase feedback current i abc Obtaining a phase angle theta and an angular frequency omega according to the reference value i of the reactive current q_ref Given value U of sum bus voltage dc_ref Through e -jθ The calculator processes and transforms a coordinate system (dq-abc) to obtain a current set value I at the inversion side of the converter abc The PIR calculator sets the current set value I on the inversion side of the converter abc And the current feedback value I of the inversion side of the converter abc Processing to obtain U ∝ And U β PWM modulator 202 is based on U ∝ And U β And outputting the PWM modulation wave to a switching device of the converter grid side sub-control system.
The following possibilities also exist due to power module currents:
(1) The extreme value is not exceeded, and the extreme value protection is not triggered;
(2) Now fluctuating up and down around the set value;
(3) The control system does not diverge or diverges very slowly.
Therefore, increased protection is required: and judging the deviation degree of the set value and the feedback value, namely judging the convergence. Based on the above, the embodiment of the invention provides a method and a device for detecting a convergence state of a converter control system, and a storage medium.
Fig. 3 is a flowchart illustrating a method for detecting a convergence status of a converter control system according to an embodiment of the present invention. As shown in fig. 2, the convergence status detection method includes steps 301 to 304.
In step 301, feedback values of target control variables to which a plurality of phases in the converter control system belong are obtained.
The control variable in the converter control system comprises the output current or the output voltage of the converter control system. Referring to fig. 1, the control variable may be a three-phase current feedback value (I) of the grid side S1 of the inverter 103 a ，I b ，I c ) I.e. I in FIG. 2 abc Or a three-phase voltage feedback value (U) of S2 at the grid-connected part a ，U b ，U c ) I.e. u in FIG. 2 abc 。
In step 302, for each phase, a standard deviation is calculated based on the difference between a plurality of feedback values of the phase within a first predetermined time period and a preset given value.
The first predetermined time period may be understood as a standard deviation calculation cycle, which includes the current time and N-1 times before the current time, where N is an integer greater than or equal to 1.
Illustratively, the current feedback value I can be fed back for N time instants a ，I b And I c Respectively with electricityFlow set point I a *，I b * And I c * And continuously performing difference calculation, obtaining N errors aiming at each phase, and then performing standard deviation calculation based on the N errors of each phase, wherein the standard deviation calculation period is 20 milliseconds for a 50 Hz power grid.
Specifically, when the standard deviation calculation is performed, a new value entering method and an old value exiting method may be adopted, that is, the standard deviation calculation is performed based on the same number of error data each time, for example, if the capacity of the error storage array is set to 20, new error data enters at each time, old error data exits, and then the standard deviation calculation may be performed based on 20 error data each time.
The calculation formula of the standard deviation σ is as follows:
wherein x is i As error data, μ is error data x 1 ，x 2 ，......x N Is determined by the average value of (a),.1. The.
In step 303, the standard deviations of the plurality of phases are compared to the converged guard threshold, respectively.
The convergence protection threshold value can be determined by referring to the national standard electric energy quality and the requirement of 5% or 10% on the harmonic content of the grid-connected current, and can also be determined according to an actual test result.
In step 304, the convergence status of the converter control system is determined based on the comparison result.
As described above, in the embodiment of the present invention, in order to detect the convergence state of the converter control system, the feedback values of the target control variables to which the plurality of phases belong in the converter control system may be obtained first, and for each phase, the standard deviation may be calculated based on the difference between the plurality of feedback values of the phase in the first predetermined time period and a preset given value. Compared with a conventional error judgment mode, the standard deviation can accurately reflect the fluctuation condition of the converter control system under the working conditions that the extreme value is not exceeded, the extreme value protection is not triggered, the divergence is not generated or the divergence is very slow and the like, the convergence protection of the system can be realized, certain robustness is realized, the misjudgment on the convergence state of the system can be avoided, and the judgment accuracy is improved.
For example, if the standard deviation of any one of the multiple phases is greater than the convergence protection threshold, it indicates that the fluctuation range of the control variable of the converter control system is large, the system is unstable, and it can be determined that the converter control system is in an abnormal convergence state.
On the contrary, if the standard deviations of the multiple phases are all smaller than or equal to the convergence protection threshold, it is indicated that the fluctuation range of the control variable of the converter control system is normal, the system is stable in operation, and the converter control system can be determined to be in a normal convergence state.
In the embodiment of the invention, aiming at the condition that the converter controller is in an abnormal convergence state, the modulation pulse of the converter control system can be immediately blocked, the wind generating set is stopped, the fault is reported in advance, and meanwhile, the fault code is uploaded, so that the direct economic loss and the indirect economic loss caused by the damage of the converter hardware are avoided.
In addition, considering that current and voltage fluctuation caused by heavy-duty equipment or power grid fluctuation may exist in the grid-connected operation process of the wind generating set, in order to eliminate the interference of the power grid fluctuation, avoid misjudgment of the convergence state of the converter control system, and increase fault tolerance time.
For example, only when the converter control system is continuously in the abnormal convergence state within the second predetermined time period, it is finally determined that the converter control system is actually in the abnormal convergence state, and meanwhile, the modulation pulse of the converter control system is blocked and the wind generating set is stopped.
And the second preset time period is used for realizing a delay fault-tolerant function and comprises the current time and M-1 backward times from the current time, wherein M is an integer greater than or equal to 1.
Fig. 4 is a flowchart illustrating a method for detecting a convergence state of a converter control system according to another embodiment of the present invention, where the method for detecting a convergence state illustrated in fig. 4 includes steps 401 to 409, which are used to illustrate the method for detecting a convergence state in the embodiment of the present invention in detail.
In step 401, it is determined whether the converter is in the modulation state, and if the converter is in the modulation state, step 302 is executed.
In step 402, the present current error data is stored using a new value in and old value out approach.
In step 403, it is determined whether a standard deviation calculation period is reached, and if so, step 404 is executed.
In step 404, the standard deviation of the current error for the current cycle is calculated.
In step 405, it is determined whether the standard deviation of the current error in the current cycle exceeds the fault protection value, if yes, step 406 is executed, and if not, step 407 is executed.
In step 406, the delay counter is incremented.
In step 407, the delay counter is cleared.
In step 408, it is determined whether the accumulated time of the delay counter is greater than the predetermined delay time, if yes, step 409 is executed.
In step 409, the converter grid side current deviation protection is triggered, the modulation pulse is blocked, and a fault code is uploaded.
Fig. 5 is a schematic structural diagram of a convergence status detecting apparatus of a converter control system according to an embodiment of the present invention, and as shown in fig. 5, the convergence status detecting apparatus includes: a feedback value obtaining module 501, a standard deviation calculating module 502, a comparison processing module 503 and a state judging module 504.
The feedback value obtaining module 501 is configured to obtain feedback values of target control variables to which a plurality of phases in the converter control system belong.
The standard deviation calculation module 502 is configured to calculate, for each phase, a standard deviation based on differences between a plurality of feedback values of the phase and a preset given value in a first predetermined time period, where the first predetermined time period includes a current time and N-1 times ahead from the current time, and N is an integer greater than or equal to 1.
The comparing module 503 is configured to compare the standard deviation of the multiple phases with the convergence protection threshold respectively.
The state determining module 504 is configured to determine a convergence state of the converter controller according to the comparison result. The state determining module 504 is specifically configured to determine that the converter control system is in an abnormal convergence state if a standard deviation of any one of the multiple phases is greater than a convergence protection threshold; and if the standard deviations of the multiple phases are all smaller than or equal to the convergence protection threshold value, determining that the converter control system is in a normal convergence state.
In an optional embodiment, the convergence state detection device further comprises a fault processing module, which is used for blocking the modulation pulse of the converter control system and performing shutdown operation on the wind generating set if the converter control system is in an abnormal convergence state; or if the converter control system is continuously in an abnormal convergence state within a second preset time period, blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set, wherein the second preset time period comprises the current time and M-1 times backward from the current time, and M is an integer greater than or equal to 1.
It should be noted that the convergence status detection apparatus may be integrated in a converter controller of a wind turbine generator system, so as to avoid modification of hardware, and may also be a logic device having an independent operation function, which is not limited herein.
In addition, an embodiment of the present invention further provides a computer readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the above convergence status detection apparatus for a converter control system.
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 is made to the description of the method embodiments for relevant points. 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 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 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 present invention are the programs or code segments used to perform the required tasks. The program or code segments can 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 an electronic circuit, a semiconductor memory device, a ROM, a flash memory, an Erasable ROM (EROM), a floppy disk, a CD-ROM, an optical disk, a hard disk, an optical fiber medium, a Radio Frequency (RF) link, and so forth. The code segments may be downloaded via computer networks such as the internet, intranets, 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 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 (7)
1. A convergence state detection method of a converter control system comprises the following steps:
obtaining feedback values of target control variables to which a plurality of phases belong in a converter control system;
calculating a standard deviation for each phase based on the difference value of a plurality of feedback values of the phase and a preset given value in a first preset time period, wherein the first preset time period comprises the current moment and N-1 moments ahead from the current moment, and N is an integer greater than or equal to 1;
comparing the standard deviation of the plurality of phases with a convergence protection threshold respectively;
judging the convergence state of the converter control system according to the comparison result;
if the converter control system is in an abnormal convergence state, blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set; or if the converter control system is continuously in an abnormal convergence state within a second preset time period, blocking the modulation pulse of the converter control system and performing shutdown operation on the wind generating set, wherein the second preset time period comprises the current moment and M-1 moments backward from the current moment, and M is an integer greater than or equal to 1;
the judging the convergence state of the converter control system comprises the following steps:
and if the standard deviation of any phase in the multiple phases is larger than the convergence protection threshold, determining that the converter control system is in an abnormal convergence state.
2. The method of claim 1, wherein said determining a convergence status of said converter control system based on said comparison further comprises:
and if the standard deviations of the multiple phases are all smaller than or equal to the convergence protection threshold value, determining that the converter control system is in a normal convergence state.
3. The method of claim 1, wherein said obtaining feedback values for target control variables to which a plurality of phases in a converter control system belong comprises:
determining that the converter control system is in a modulation state;
and acquiring feedback values of target control variables to which a plurality of phases belong in the converter control system, wherein the target control variables comprise output current or output voltage of the converter control system.
4. A convergence state detection device of a converter control system comprises:
the feedback value acquisition module is used for acquiring feedback values of target control variables to which a plurality of phases belong in a converter control system;
the standard deviation calculation module is used for calculating a standard deviation for each phase based on the difference value between a plurality of feedback values of the phase and a preset given value in a first preset time period, wherein the first preset time period comprises the current moment and N-1 moments ahead of the current moment, and N is an integer greater than or equal to 1;
the comparison processing module is used for respectively comparing the standard deviation of the plurality of phases with a convergence protection threshold value;
the state judgment module is used for judging the convergence state of the converter control system according to the comparison result;
the fault processing module is used for blocking the modulation pulse of the converter control system and executing shutdown operation on the wind generating set if the converter control system is in an abnormal convergence state; or if the converter control system is continuously in an abnormal convergence state within a second preset time period, blocking the modulation pulse of the converter control system and performing shutdown operation on the wind generating set, wherein the second preset time period comprises the current moment and M-1 moments backward from the current moment, and M is an integer greater than or equal to 1;
the state judgment module is specifically configured to determine that the converter control system is in an abnormal convergence state if a standard deviation of any one of the plurality of phases is greater than the convergence protection threshold.
5. The apparatus of claim 4, wherein the state determination module is further configured to determine that the converter control system is in a normal convergence state if all standard deviations of the plurality of phases are less than or equal to the convergence protection threshold.
6. The device according to any of claims 4-5, wherein the device is arranged in a converter controller of a wind park.
7. A computer-readable storage medium on which a program is stored, wherein the program, when executed by a processor, implements the convergence status detection method of the converter control system of any one of claims 1 to 3.
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