CN113394785B - Method and device for determining control strategy of active filter and readable storage medium - Google Patents
Method and device for determining control strategy of active filter and readable storage medium Download PDFInfo
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- CN113394785B CN113394785B CN202110856574.9A CN202110856574A CN113394785B CN 113394785 B CN113394785 B CN 113394785B CN 202110856574 A CN202110856574 A CN 202110856574A CN 113394785 B CN113394785 B CN 113394785B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/01—Arrangements for reducing harmonics or ripples
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/40—Arrangements for reducing harmonics
Abstract
The application provides a method and a device for determining a control strategy of an active filter and a readable storage medium, which are used for acquiring a current digital signal of load equipment in a sampling control period and determining a load fluctuation state of the load equipment based on the current digital signal; therefore, according to the load fluctuation state of the load equipment, the decision control algorithm which is adopted by the active filter in the sampling control period is determined, and the active filter is controlled to execute the decision control algorithm in the sampling control period. Therefore, the control algorithm of the active filter can be adjusted in real time according to the obtained load fluctuation of the load equipment, and the active filter is favorable for meeting the stability and rapidity under different working conditions, the robustness of the active filter can be improved, and the probability of the active filter failing is reduced.
Description
Technical Field
The present disclosure relates to the field of active filter control technologies, and in particular, to a method and an apparatus for determining an active filter control strategy, and a readable storage medium.
Background
With the continuous development of science and technology, the number of power electronic devices which can be used by people in daily life is gradually increased, and the harmonic problem in a power grid is increasingly serious due to the access of a large number of power electronic devices. Harmonic pollution not only reduces the efficiency of power transmission, but also has an effect on other electrical devices: such as the vibration aggravation of the motor, the noise increase, the malfunction of the relay protection equipment, the cable heating, the insulation aging and the like.
At present, an active filter is usually used for compensating harmonic current in a power grid so as to reduce harmonic pollution of a system, so that the situation of application of the active filter is a serious disaster area of the harmonic pollution, the field working conditions of the active filter are different, and whether the active filter can stably operate in different working condition scenes becomes an urgent problem to be solved.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, an apparatus, and a readable storage medium for determining an active filter control strategy, which can adjust a control algorithm of an active filter in real time according to an obtained load fluctuation state of a load device, thereby facilitating the active filter to meet stability and rapidity under different working conditions, improving robustness of the active filter, and reducing a probability of a failure of the active filter.
The embodiment of the application provides a method for determining a control strategy of an active filter, which comprises the following steps:
acquiring a current digital signal of load equipment in a sampling control period;
determining a load fluctuation state of the load device based on the current digital signal;
and determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period.
In one possible embodiment, the load fluctuation state includes a steady fluctuation and a non-steady fluctuation; the determining a load fluctuation state of the load device based on the current digital signal includes:
performing fast Fourier transform on the current digital signal in the sampling control period, and determining the amplitude and the phase of the load equipment on the order harmonic to be processed;
calculating the amplitude and the phase of the order harmonic to be processed in the sampling control period, and calculating the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the previous control period corresponding to the sampling control period;
if the amplitude difference value is larger than a preset amplitude threshold value and/or the phase difference value is larger than a preset phase threshold value, determining that the load fluctuation state of the load equipment is non-stable fluctuation;
and if the amplitude difference value is smaller than or equal to a preset amplitude threshold value and the phase difference value is smaller than or equal to a preset phase threshold value, determining that the load fluctuation state of the load equipment is stable fluctuation.
In a possible embodiment, the determining, based on the load fluctuation state, a decision control algorithm adopted by the active filter in the sampling control period includes:
when the load fluctuation state is non-steady fluctuation, determining that a decision control algorithm adopted by the active filter in the sampling control period is a proportional resonance control algorithm;
and when the load fluctuation state is stable fluctuation, determining that the decision control algorithm adopted by the active filter in the sampling control period is a repetitive control algorithm.
In one possible embodiment, after the obtaining the digital current signal of the load device during the sampling control period, the determining method further includes:
caching the current digital signals or the voltage digital signals of the active filter collected by all sampling channels on each sampling control period point by point;
for each sampling control period, determining whether the active filter has a fault at the acquisition time of the sampling control period based on the current digital signals or the voltage digital signals acquired by all sampling channels on the sampling control period;
if yes, storing the current digital signals or the voltage digital signals collected by all the sampling channels in the half power frequency period before the sampling control period, and storing the current digital signals and the voltage digital signals collected by all the sampling channels in the half power frequency period after the sampling control period into a memory.
In a possible implementation, the determining method further includes:
acquiring parameters to be configured;
comparing whether the parameter to be configured is consistent with the configured parameter;
if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip;
comparing whether the parameter to be configured is consistent with the write-in configuration parameter;
if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid;
if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not;
if yes, generating fault feedback information;
if not, writing the parameter to be configured into the memory chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold.
In a possible implementation manner, after the obtaining the parameter to be configured, the determining method further includes:
extracting a chip stack number from the parameter to be configured;
determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number;
if so, determining whether the parameter to be configured passes configuration verification or not based on a verification code in the parameter to be configured;
if so, determining the current working state of the active filter;
determining a parameter modification form of the active filter based on the current working state;
when the parameter modification form is allowed modification, configuring related configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters;
detecting whether the changed configuration parameters conform to the operation rules of the active filter;
if yes, determining that the changed configuration parameters are effective.
In a possible embodiment, after determining that the active filter has a fault at the acquisition time of the sampling control period, the determining method further includes:
determining a fault type of the fault;
and controlling the active filter to execute the operation indicated by the execution strategy according to the execution strategy corresponding to the fault type.
In a possible implementation manner, the controlling the active filter to execute the operation indicated by the execution policy according to the execution policy corresponding to the fault type includes:
when the fault type is a warning fault, controlling the active filter to alarm, and delaying to clear the fault;
when the fault type is a light fault, delaying to judge whether the active filter still has a fault;
if so, resetting the fault and restarting the active filter;
and when the fault type is a heavy fault, controlling the active filter to stop.
An embodiment of the present application further provides a device for determining control information of an active filter, where the device for determining includes:
the signal acquisition module is used for acquiring a current digital signal of the load equipment in a sampling control period;
a fluctuation determining module for determining a load fluctuation state of the load device based on the current digital signal;
and the algorithm switching module is used for determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state and controlling the active filter to execute the decision control algorithm in the sampling control period.
In one possible embodiment, the load fluctuation state includes a steady fluctuation and a non-steady fluctuation; the fluctuation determination module, when configured to determine a load fluctuation state of the load device based on the current digital signal, is configured to:
performing fast Fourier transform on the current digital signal in the sampling control period, and determining the amplitude and the phase of the load equipment on the order harmonic to be processed;
calculating the amplitude and the phase of the order harmonic to be processed in the sampling control period, and calculating the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the previous control period corresponding to the sampling control period;
if the amplitude difference value is larger than a preset amplitude threshold value and/or the phase difference value is larger than a preset phase threshold value, determining that the load fluctuation state of the load equipment is non-stable fluctuation;
and if the amplitude difference value is smaller than or equal to a preset amplitude threshold value and the phase difference value is smaller than or equal to a preset phase threshold value, determining that the load fluctuation state of the load equipment is stable fluctuation.
In a possible implementation, when the algorithm switching module is configured to determine, based on the load fluctuation state, a decision control algorithm adopted by the active filter in the sampling control period, the algorithm switching module is configured to:
when the load fluctuation state is non-steady fluctuation, determining that a decision control algorithm adopted by the active filter in the sampling control period is a proportional resonance control algorithm;
and when the load fluctuation state is stable fluctuation, determining that the decision control algorithm adopted by the active filter in the sampling control period is a repetitive control algorithm.
In a possible implementation, the determining apparatus further includes a failure storage module, and the failure storage module is configured to:
caching the current digital signals or the voltage digital signals of the active filter collected by all sampling channels on each sampling control period point by point;
for each sampling control period, determining whether the active filter has a fault at the acquisition time of the sampling control period based on the current digital signals or the voltage digital signals acquired by all sampling channels in the sampling control period;
if yes, storing the current digital signals or the voltage digital signals collected by all the sampling channels in the half power frequency period before the sampling control period, and storing the current digital signals and the voltage digital signals collected by all the sampling channels in the half power frequency period after the sampling control period into a memory.
In a possible implementation, the determining apparatus further includes a parameter security storage module, and the parameter security storage module is configured to:
acquiring parameters to be configured;
comparing whether the parameter to be configured is consistent with the configured parameter;
if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip;
comparing whether the parameter to be configured is consistent with the write-in configuration parameter;
if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid;
if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not;
if so, generating fault feedback information;
if not, writing the parameter to be configured into the memory chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold.
In a possible implementation, the determining apparatus further includes a parameter modification module, and the parameter modification module is configured to:
extracting a chip stack number from the parameter to be configured;
determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number;
if the configuration check is correct, determining whether the parameter to be configured passes the configuration check based on a check code in the parameter to be configured;
if so, determining the current working state of the active filter;
determining a parameter modification form of the active filter based on the current working state;
when the parameter modification form is allowed modification, configuring related configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters;
detecting whether the changed configuration parameters conform to the operation rules of the active filter;
if yes, determining that the changed configuration parameters are effective.
In a possible implementation, the determining apparatus further includes a fault classification module, and the fault classification module is configured to:
determining a fault type of the fault;
and controlling the active filter to execute the operation indicated by the execution strategy according to the execution strategy corresponding to the fault type.
In a possible implementation manner, when the fault classification module is configured to control the active filter to execute the operation indicated by the execution policy according to the execution policy corresponding to the fault type, the fault classification module is configured to:
when the fault type is a warning fault, controlling the active filter to alarm, and delaying to clear the fault;
when the fault type is a light fault, delaying to judge whether the active filter still has a fault;
if so, resetting the fault and restarting the active filter;
and when the fault type is a heavy fault, controlling the active filter to stop.
An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the method of determining an active filter control strategy as described above.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method for determining an active filter control policy as described above.
The method, the device and the readable storage medium for determining the control strategy of the active filter, provided by the embodiment of the application, are used for acquiring a current digital signal of load equipment in a sampling control period; determining a load fluctuation state of the load device based on the current digital signal; and determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period. Therefore, the control algorithm of the active filter can be adjusted in real time according to the acquired load fluctuation state of the load equipment, and further, the stability and the rapidity of the active filter under different working conditions are favorably met, the robustness of the active filter can be improved, and the probability of the active filter failing is reduced.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart illustrating a method for determining an active filter control strategy according to an embodiment of the present application;
fig. 2 is a flowchart illustrating another method for determining an active filter control strategy according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a process of storing a parameter to be configured according to an embodiment of the present application;
fig. 4 is an exemplary flowchart of an active filter parameter configuration according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a fault handling process provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present application;
fig. 7 is a second schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present application;
fig. 8 is a third schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
Research shows that at present, an active filter is usually used for compensating harmonic current in a power grid so as to reduce harmonic pollution of a system, so that the application occasion of the active filter is a serious disaster area of the harmonic pollution, the field working conditions of the active filter are different, and whether the active filter can stably operate in different working condition scenes becomes a problem to be solved urgently.
Based on this, the embodiment of the application provides a method for determining a control strategy of an active filter, so as to reduce the probability of the active filter failing and improve the stability of the active filter under different working conditions.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for determining an active filter control strategy according to an embodiment of the present disclosure. As shown in fig. 1, a method for determining an active filter control strategy provided in an embodiment of the present application includes:
and S101, acquiring a current digital signal of the load equipment in a sampling control period.
And S102, determining the load fluctuation state of the load equipment based on the current digital signal.
S103, determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period.
The method for determining the control strategy of the active filter, provided by the embodiment of the application, comprises the steps of obtaining a current digital signal of load equipment in a sampling control period, and determining the load fluctuation state of the load equipment based on the current digital signal; therefore, according to the load fluctuation state of the load equipment, the decision control algorithm which is adopted by the active filter in the sampling control period is determined, and the active filter is controlled to execute the decision control algorithm in the sampling control period. Therefore, the control algorithm of the active filter can be adjusted in real time according to the obtained load fluctuation of the load equipment, and further the stability and the rapidity of the active filter under different working conditions are favorably met, the robustness of the active filter can be improved, and the probability of the active filter failing is reduced.
Here, the load device is an electronic device connected to the power grid, and the current and/or voltage signal flowing through the load device can reflect whether the load device has load fluctuation, and further, the decision control algorithm of the active filter in a corresponding time period can be adjusted in real time by analyzing the load fluctuation of the load device.
Here, a plurality of sampling points are included in one sampling control period, and therefore, the current digital signal and the voltage digital signal flowing through the load device in the sampling control period acquired in step S101 of the present application are actually acquired as the current digital signal and the voltage digital signal flowing through the load device acquired by each sampling point.
Load fluctuation refers to the fluctuation amplitude of the amplitude and phase of the harmonic current flowing through the load device.
The data types of the digital signal are: character type, integer type, single-precision floating point type, double-precision floating point type. But also to structures, shares, arrays, pointers, etc. The configuration of the register mostly uses a structure body and a bit field mode. The display of various electrical parameters mostly adopts integer data. And storing the parameters by adopting a structural body in a classified manner.
In step S102, the acquired current digital signal at each acquisition point in the sampling control period may be analyzed, so as to determine a load fluctuation state of the load device in the sampling control period.
Here, the decision control algorithm includes at least one of a proportional resonance control algorithm and a repetitive control algorithm.
In one embodiment, the load fluctuation conditions include smooth fluctuations and non-smooth fluctuations; the step S102 includes: performing fast Fourier transform on the current digital signal in the sampling control period, and determining the amplitude and the phase of the load equipment on the order harmonic to be processed; calculating the amplitude and the phase of the order harmonic to be processed in the sampling control period, and calculating the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the previous control period corresponding to the sampling control period; if the amplitude difference value is larger than a preset amplitude threshold value and/or the phase difference value is larger than a preset phase threshold value, determining that the load fluctuation state of the load equipment is non-stable fluctuation; and if the amplitude difference value is smaller than or equal to a preset amplitude threshold value and the phase difference value is smaller than or equal to a preset phase threshold value, determining that the load fluctuation state of the load equipment is stable fluctuation.
When determining whether the active filter has a fault, performing fast Fourier transform on a current digital signal acquired by each sampling channel in a sampling control period, determining the amplitude and the phase of each order harmonic in the sampling control period, and determining the order harmonic to be processed from each order harmonic; the amplitude and phase of the load device at the order harmonic to be processed is determined.
And then, determining the load fluctuation state of the load equipment in the content of the current sampling control period by calculating the amplitude and the phase of the order harmonic to be processed in the current sampling control period and the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the last sampling control period corresponding to the current sampling period.
The order harmonic to be processed is the preset order harmonic needing to be subjected to difference calculation and selected from the order harmonics.
In step S103, a decision control algorithm to be adopted by the active filter in a sampling period is determined according to a load fluctuation state of the load device in the sampling period, so that the active filter is controlled to implement switching of the decision control algorithm in the sampling control period, and the active filter is controlled to execute a corresponding decision control algorithm in the sampling control period.
Here, when the load fluctuation state of the load equipment is non-steady fluctuation, determining that the decision control algorithm adopted by the active filter in the sampling control period is a proportional resonance control algorithm; when the load fluctuation state is stable fluctuation, determining that a decision control algorithm adopted by the active filter in a sampling control period is a proportional resonance control algorithm and a proportional repetitive control algorithm; namely, when the load fluctuation state of the load equipment is non-steady fluctuation, the decision control algorithm of the active filter is switched to a proportional resonance control algorithm with better dynamic response; and when the load fluctuation state of the load equipment is stable fluctuation, the control algorithm of the active filter is switched to a repetitive control algorithm with higher steady-state precision.
In an implementation manner, as shown in fig. 2, fig. 2 is a schematic flowchart of a fault determination method of an active filter according to an embodiment of the present application. As shown in fig. 2, it is determined whether there is a malfunction of the active filter by:
s201, buffering the current digital signals or the voltage digital signals of the active filter collected by all sampling channels on each sampling control period point by point.
S202, for each sampling control period, determining whether the active filter has a fault at the sampling time of the sampling control period based on the current digital signal or the voltage digital signal acquired by all the sampling channels in the sampling control period.
And S203, if so, storing the current digital signals or the voltage digital signals acquired by all the sampling channels in the half power frequency period before the sampling control period, and the current digital signals and the voltage digital signals acquired by all the sampling channels in the half power frequency period after the sampling control period into a memory.
Here, during the use of the active filter, the current digital signal or the voltage digital signal of the active filter can reflect the operation state of the active filter, for example, if the current digital signal or the voltage digital signal suddenly increases, it indicates that there is a possibility of a fault in the circuit, and therefore, it is important to store the current digital signal and the voltage digital signal in which the fault may exist for further diagnosing and analyzing the fault.
In step S201, in order to analyze the current digital signal or the voltage digital signal in the sampling control period, the current digital signal or the voltage digital signal collected by each sampling channel in the sampling control period is buffered point by point while buffering.
In step S202, for each sampling control period, whether the current digital signal or the voltage digital signal acquired in the sampling control period reflects that the active filter has a fault is respectively determined; specifically, the current digital signal acquired by the sampling control period is compared with a normal current value range, whether the value of the current digital signal acquired by the sampling control period is within the normal current value range is determined, and if the value is within the normal current value range, it is determined that the active filter has no fault; similarly, the voltage digital signal acquired in the sampling control period is compared with the normal voltage value range, whether the value of the voltage digital signal acquired at the acquisition point is within the normal voltage value range is determined, and if the value is within the normal voltage value range, it is determined that the active filter has no fault.
If the current digital signal acquired by the sampling control period is not within the normal current value range or the voltage digital signal is not within the normal voltage value range, it is indicated that the active filter has a fault, and at this time, in order to further analyze the fault, the current digital signal or the voltage digital signal of the acquisition node in the first half of the power frequency period of the sampling control period and the current digital signal or the voltage digital signal acquired by all the acquisition channels in the second half of the power frequency period of the sampling control period are stored into the memory by taking the sampling point as the center.
The number of the sampling control cycles in the actual sampling process depends on the signal acquisition frequency, for example, sampling is performed at a sampling frequency of 12.8kHz, and if 20ms is a power frequency cycle, 256 sampling control cycles are included in the power frequency cycle.
In the actual using process, a user can adjust configuration parameters for controlling the active filter, wherein the configuration parameters are control loop parameters, application setting parameters and user customized parameters for configuring the active filter; for example, the operating time, operating interval, etc. of the active filter are controlled. In general, the configuration parameters need to be stored in a power-down mode, after a user inputs the parameters to be configured through a terminal, the upper computer configures the configuration parameters, stores the parameters to be configured into a storage chip to realize updating of the configuration parameters, and then updates the configuration parameters used for controlling the active filter.
However, in the process of storing the parameters to be configured, the failure of updating the parameters may occur due to the abnormality of the memory chip; or, a writing error occurs in the writing process of the parameter to be configured, and therefore, even if the configuration parameter is updated, the function that the user wants to implement cannot be implemented.
In one embodiment, in order to ensure that the parameter to be configured is accurately and unmistakably stored in the memory chip, the function that the user wants to implement is implemented, the determining method further includes: acquiring parameters to be configured; comparing whether the parameter to be configured is consistent with the configured parameter; if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip; comparing whether the parameter to be configured is consistent with the write-in configuration parameter; if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid; if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not; if so, generating fault feedback information; if not, writing the parameter to be configured into the memory chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold.
By way of example, with reference to fig. 3, fig. 3 is a schematic diagram of a to-be-configured parameter storage process provided in an embodiment of the present application. As shown in fig. 3, step S301: when the parameters to be configured are acquired and need to be updated, carrying out power-on initialization; step S302: in order to avoid that the memory chip cannot normally receive the parameters to be configured and update failure of the configuration parameters is caused, before configuration is carried out on a transmission belt of the memory chip, whether normal communication can be carried out between the device and the memory chip is judged and determined, and if yes, the step S303 is executed; if not, go to step S311; step S303: initializing parameters of a storage chip; step S304: judging whether the parameters to be configured are consistent with the configured parameters, if not, executing the step S305; if the parameters are consistent, the subsequent parameter updating step is not executed temporarily; step S305, writing parameters to be configured into a storage chip; step S306: in order to avoid the situation of write-in errors in the parameter write-in process, after the parameters are written into the memory chip, the write-in configuration parameters corresponding to the parameters to be configured, which are written into the memory chip, are read back from the memory chip; step S307: comparing whether the parameter to be configured is consistent with the write-in configuration parameter, if so, executing step S308; if not, go to step S309; step S308: determining that the write configuration parameters are valid; step S309: counting the writing times of the parameters to be configured written into the memory chip; step 310: judging whether the writing times are greater than a preset time threshold value, if so, executing a step S311; if not, executing step S305, and writing the parameter to be configured into the storage chip again until the written configuration parameter is consistent with the parameter to be configured, and executing step S308; or executing step S311 when the number of writing times reaches the preset number threshold; step S311: and generating fault feedback information.
When the parameters for controlling the active filter need to be changed, the working state of the active filter also needs to be considered, and in practical application, when the active filter is in a working state, the control parameters of the active filter cannot be changed, so that the control parameters of the active filter are changed at a proper time, and the situation that the active filter is disordered to work is avoided.
The interaction of the stored data is carried out by calling application functions which are written according to the functional instructions of the memory chip. Determining that data access is carried out between the device and the memory chip by using an SPI (serial peripheral interface); and data interaction is carried out between the terminal and the human-computer interface in a 485 half-duplex mode. The control parameter is stored in a structural body form, and is called by calling structural body elements, so that the extension of the same type of parameter is facilitated without influencing the calling of functions.
In one embodiment, after the obtaining the parameter to be configured, the determining method further includes: extracting a chip stack number from the parameter to be configured; determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number; if the configuration check is correct, determining whether the parameter to be configured passes the configuration check based on a check code in the parameter to be configured; if so, determining the current working state of the active filter; determining a parameter modification form of the active filter based on the current working state; when the parameter modification form is allowed modification, configuring related configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters; detecting whether the changed configuration parameters conform to the operation rules of the active filter; if yes, determining that the changed configuration parameters are effective.
By way of example, referring to fig. 4, fig. 4 is an outgoing schematic diagram of an active filter parameter configuration provided in an embodiment of the present application. As shown in fig. 4, step S401: when the control parameters of the active filter need to be changed, a control chip of the active filter is powered on and reset; step S402: initializing communication parameters; step S403: extracting a chip stack number from the received configuration parameters; step S404: determining whether the transmission position of the parameter to be configured is correct or not according to the chip stack number, namely whether the transmission position of the parameter to be configured is an active filter indicated by the chip stack number or not, and if so, executing the step S405; if not, abandoning the acquired parameters to be configured, and acquiring the parameters to be configured again; step S405: determining whether the parameter to be configured passes configuration verification or not based on a verification code in the parameter to be configured; if yes, go to step S406; if not, abandoning the acquired parameters to be configured, and acquiring the parameters to be configured again; step S406: determining the current working state of the active filter, wherein the current working state comprises a stop state, a standby state and a working state; step S407: determining a parameter modification form of the active filter according to the current working state of the active filter, wherein the parameter modification form comprises permission modification, partial modification and prohibition modification; step S408: when the parameter modification form is allowed modification, configuring related configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters; step S409: detecting whether the changed configuration parameters conform to the operation rules of the active filter, if so, executing step S410; if not, executing step S411; step S410: determining that the changed configuration parameters take effect; step S411: and determining that the changed configuration parameters are invalid, and abandoning the change.
It should be noted that, when the current working state of the active filter is the stop state, the corresponding parameter change form is allowed to be modified; when the current working state of the active filter is in a standby state, the corresponding parameter change form is partial modification, namely partial parameters in the active filter can be modified; when the current working state of the active filter is a running prohibition state, the corresponding parameter modification form is partial modification.
When the parameter change form is partial modification, in the standby process of the active filter, partial parameters of the active filter are changed, and the unmodified parameters are abandoned; or, caching the unmodified parameters into a specific storage chip, and when the parameter modification form of the active filter is converted into a modification permission form, modifying the relevant configuration parameters corresponding to the unmodified parameters in the active filter.
When the parameter modification form is forbidden modification, abandoning the acquired parameter to be configured and acquiring the parameter to be configured again; or, caching the acquired parameters to be configured in a specific memory chip, and changing the related configuration parameters of the active filter when the parameter change form of the active filter is converted into a form allowing modification or partial modification.
In one embodiment, different processing manners may be performed for different types of faults, and after determining that the active filter has a fault at the acquisition time of the sampling control period, the determining method further includes: determining a fault type of the fault; and controlling the active filter to execute the operation indicated by the execution strategy according to the execution strategy corresponding to the fault type.
In this step, description is made with reference to fig. 5, and fig. 5 is a schematic diagram of a fault handling process provided in the embodiment of the present application. As shown in fig. 5, step S501: when the active filter is determined to have a fault, determining the fault type of the fault; step S502: controlling the active filter to execute the operation indicated by the corresponding execution strategy according to the indication of the execution strategy corresponding to the fault type, and executing the step S5021 when the fault type is the warning fault; when the fault type is a light fault, executing step S5022; when the fault type is a heavy fault, executing step S5023; step S5021: controlling an active filter to alarm and clearing faults in a delayed manner; step S5022: delaying to judge whether the active filter still has faults; if so, resetting the fault and restarting the active filter; step S5023: and controlling the active filter to stop.
The method for determining the control strategy of the active filter, provided by the embodiment of the application, comprises the steps of obtaining a current digital signal of load equipment in a sampling control period; determining a load fluctuation state of the load device based on the current digital signal; and determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period. Therefore, the control algorithm of the active filter can be adjusted in real time according to the acquired load fluctuation state of the load equipment, and further, the stability and the rapidity of the active filter under different working conditions are favorably met, the robustness of the active filter can be improved, and the probability of the active filter failing is reduced.
Referring to fig. 6 to 8, fig. 6 is a first schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present disclosure, fig. 7 is a second schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present disclosure, and fig. 8 is a third schematic structural diagram of an apparatus for determining control information of an active filter according to an embodiment of the present disclosure. As shown in fig. 6, the determining means 600 includes:
a signal obtaining module 610, configured to obtain a current digital signal of the load device in a sampling control period;
a fluctuation determining module 620 for determining a load fluctuation state of the load device based on the current digital signal;
an algorithm switching module 630, configured to determine, based on the load fluctuation state, a decision control algorithm used by the active filter in the sampling control period, and control the active filter to execute the decision control algorithm in the sampling control period.
Further, as shown in fig. 7, the determining apparatus 600 further includes a failure storage module 640, where the failure storage module 640 is configured to:
caching the current digital signals or voltage digital signals of the active filter collected by all sampling channels on each sampling control period point by point;
for each sampling control period, determining whether the active filter has a fault at the acquisition time of the sampling control period based on the current digital signals or the voltage digital signals acquired by all sampling channels on the sampling control period;
if yes, storing the current digital signals or the voltage digital signals collected by all the sampling channels in the half power frequency period before the sampling control period, and storing the current digital signals and the voltage digital signals collected by all the sampling channels in the half power frequency period after the sampling control period into a memory.
Further, as shown in fig. 7, the determining apparatus 600 further includes a fault classification module 650, where the fault classification module 650 is configured to:
determining a fault type of the fault;
and controlling the active filter to execute the operation indicated by the execution strategy according to the execution strategy corresponding to the fault type.
Further, when the fault classification module 650 is configured to control the active filter to perform the operation indicated by the execution policy according to the execution policy corresponding to the fault type, the fault classification module 650 is configured to:
when the fault type is a warning fault, controlling the active filter to alarm, and delaying to clear the fault;
when the fault type is a light fault, delaying to judge whether the active filter still has a fault;
if so, resetting the fault and restarting the active filter;
and when the fault type is a heavy fault, controlling the active filter to stop.
Further, as shown in fig. 8, the determining apparatus 600 further includes a parameter security storage module 660, where the parameter security storage module 660 is configured to:
acquiring parameters to be configured;
comparing whether the parameter to be configured is consistent with the configured parameter;
if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip;
comparing whether the parameter to be configured is consistent with the write-in configuration parameter;
if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid;
if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not;
if so, generating fault feedback information;
if not, writing the parameter to be configured into the memory chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold.
Further, as shown in fig. 8, the determining apparatus 600 further includes a parameter modifying module 670, where the parameter modifying module 670 is configured to:
extracting a chip stack number from the parameter to be configured;
determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number;
if the configuration check is correct, determining whether the parameter to be configured passes the configuration check based on a check code in the parameter to be configured;
if so, determining the current working state of the active filter;
determining a parameter modification form of the active filter based on the current working state;
when the parameter modification form is allowed modification, configuring relevant configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters;
detecting whether the changed configuration parameters conform to the operation rules of the active filter;
if yes, determining that the changed configuration parameters are effective.
Further, the load fluctuation state includes a steady fluctuation and a non-steady fluctuation; when the fluctuation determining module 620 is configured to determine the load fluctuation state of the load device based on the current digital signal, the fluctuation determining module 620 is configured to:
performing fast Fourier transform on the current digital signal in the sampling control period, and determining the amplitude and the phase of the load equipment on the order harmonic to be processed;
calculating the amplitude and the phase of the order harmonic to be processed in the sampling control period, and calculating the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the previous control period corresponding to the sampling control period;
if the amplitude difference value is larger than a preset amplitude threshold value and/or the phase difference value is larger than a preset phase threshold value, determining that the load fluctuation state of the load equipment is non-stable fluctuation;
and if the amplitude difference value is smaller than or equal to a preset amplitude threshold value and the phase difference value is smaller than or equal to a preset phase threshold value, determining that the load fluctuation state of the load equipment is stable fluctuation.
Further, when the algorithm switching module 630 is configured to determine, based on the load fluctuation state, a decision control algorithm adopted by the active filter in the sampling control period, the algorithm switching module 630 is configured to:
when the load fluctuation state is non-steady fluctuation, determining that a decision control algorithm adopted by the active filter in the sampling control period is a proportional resonance control algorithm;
and when the load fluctuation state is stable fluctuation, determining that the decision control algorithm adopted by the active filter in the sampling control period is a repetitive control algorithm.
Data is transmitted between the modules in a parameter transmission mode, and information transmitted by the interface is transmitted between the modules in a structural body packaging mode. The operation control is realized strictly according to the function calling relation among the modules. A lot of semaphores are defined between modules for mutual exclusion and synchronization between modules. A state machine is also introduced in the part with process control, and the flow is strictly controlled. All the flows among the modules are strictly carried out according to the logic flow of the operation control.
The device for determining the control information of the active filter, provided by the embodiment of the application, is used for acquiring a current digital signal and a voltage digital signal of load equipment in a sampling control period; determining a load fluctuation state of the load device based on the current digital signal; and determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period. Therefore, the control algorithm of the active filter can be adjusted in real time according to the acquired load fluctuation state of the load equipment, and further, the stability and the rapidity of the active filter under different working conditions are favorably met, the robustness of the active filter can be improved, and the probability of the active filter failing is reduced.
Referring to fig. 9, fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 9, the electronic device 900 includes a processor 910, a memory 920, and a bus 930.
The memory 920 stores machine-readable instructions executable by the processor 910, when the electronic device 900 runs, the processor 910 communicates with the memory 920 through the bus 930, and when the machine-readable instructions are executed by the processor 910, the steps of the method for determining the active filter control policy in the method embodiments shown in fig. 1 and fig. 2 may be performed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the step of the method for determining an active filter control policy in the method embodiments shown in fig. 1 and fig. 2 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in software functional units and sold or used as a stand-alone product, may be stored in a non-transitory computer-readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A method for determining an active filter control strategy, the method comprising:
acquiring a current digital signal of load equipment in a sampling control period;
determining a load fluctuation state of the load device based on the current digital signal;
determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state, and controlling the active filter to execute the decision control algorithm in the sampling control period;
the determination method further comprises:
acquiring parameters to be configured;
comparing whether the parameter to be configured is consistent with the configured parameter;
if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip;
comparing whether the parameter to be configured is consistent with the write-in configuration parameter;
if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid;
if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not;
if so, generating fault feedback information;
if not, writing the parameter to be configured into the storage chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold;
after the obtaining of the parameter to be configured, the determining method further includes:
extracting a chip stack number from the parameter to be configured;
determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number;
if the configuration check is correct, determining whether the parameter to be configured passes the configuration check based on a check code in the parameter to be configured;
if so, determining the current working state of the active filter;
determining a parameter modification form of the active filter based on the current working state;
when the parameter modification form is allowed modification, configuring related configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters;
detecting whether the changed configuration parameters conform to the operation rules of the active filter;
if yes, determining that the changed configuration parameters take effect;
when the parameter modification form is partial modification, in the standby process of the active filter, modifying partial parameters of the active filter, and abandoning the unmodified parameters; or caching the unmodified parameters into a specific storage chip, and modifying the relevant configuration parameters corresponding to the unmodified parameters in the active filter when the parameter modification form of the active filter is converted into a modification permission form;
when the parameter modification form is modification prohibition, abandoning the acquired parameters to be configured and acquiring the parameters to be configured again; or caching the acquired parameters to be configured into a specific memory chip, and changing the related configuration parameters of the active filter when the parameter change form of the active filter is converted into a form allowing modification or partial modification.
2. The determination method according to claim 1, wherein the load fluctuation state includes a stationary fluctuation and a non-stationary fluctuation; the determining a load fluctuation state of the load device based on the current digital signal includes:
performing fast Fourier transform on the current digital signal in the sampling control period, and determining the amplitude and the phase of the load equipment on the order harmonic to be processed;
calculating the amplitude and the phase of the order harmonic to be processed in the sampling control period, and calculating the amplitude difference value and the phase difference value between the amplitude and the phase of the order harmonic to be processed in the previous control period corresponding to the sampling control period;
if the amplitude difference value is larger than a preset amplitude threshold value and/or the phase difference value is larger than a preset phase threshold value, determining that the load fluctuation state of the load equipment is non-stable fluctuation;
and if the amplitude difference value is smaller than or equal to a preset amplitude threshold value and the phase difference value is smaller than or equal to a preset phase threshold value, determining that the load fluctuation state of the load equipment is stable fluctuation.
3. The method of claim 2, wherein determining the decision control algorithm to be applied by the active filter during the sampling control period based on the load fluctuation state comprises:
when the load fluctuation state is non-steady fluctuation, determining that a decision control algorithm adopted by the active filter in the sampling control period is a proportional resonance control algorithm;
and when the load fluctuation state is stable fluctuation, determining that the decision control algorithm adopted by the active filter in the sampling control period is a repetitive control algorithm.
4. The determination method according to claim 1, characterized in that the determination method further comprises:
caching the current digital signals or the voltage digital signals of the active filter collected by all sampling channels on each sampling control period point by point;
for each sampling control period, determining whether the active filter has a fault at the acquisition time of the sampling control period based on the current digital signals or the voltage digital signals acquired by all sampling channels on the sampling control period;
if yes, storing the current digital signals or the voltage digital signals collected by all the sampling channels in the half power frequency period before the sampling control period, and storing the current digital signals and the voltage digital signals collected by all the sampling channels in the half power frequency period after the sampling control period into a memory.
5. The method of claim 4, wherein after determining that the active filter has failed at the acquisition time of the sampling control period, the method further comprises:
determining a fault type of the fault;
and controlling the active filter to execute the operation indicated by the execution strategy according to the execution strategy corresponding to the fault type.
6. An apparatus for determining control information of an active filter, the apparatus comprising:
the signal acquisition module is used for acquiring a current digital signal of the load equipment in a sampling control period;
a fluctuation determining module for determining a load fluctuation state of the load device based on the current digital signal;
the algorithm switching module is used for determining a decision control algorithm adopted by the active filter in the sampling control period based on the load fluctuation state and controlling the active filter to execute the decision control algorithm in the sampling control period;
the determining device further comprises a parameter security storage module, wherein the parameter security storage module is used for:
acquiring parameters to be configured;
comparing whether the parameter to be configured is consistent with the configured parameter;
if not, writing the parameter to be configured into a storage chip, and reading back the write-in configuration parameter corresponding to the parameter to be configured from the storage chip;
comparing whether the parameter to be configured is consistent with the write-in configuration parameter;
if the write-in configuration parameters are consistent, determining that the write-in configuration parameters are valid;
if not, counting whether the writing times of the parameter to be configured are larger than a preset time threshold value or not;
if so, generating fault feedback information;
if not, writing the parameter to be configured into the storage chip again until the write-in configuration parameter corresponding to the parameter to be configured is consistent with the parameter to be configured or the write-in times reach a preset time threshold;
the determining apparatus further comprises a parameter modification module configured to:
extracting a chip stack number from the parameter to be configured;
determining whether the transmission position of the parameter to be configured is correct or not based on the chip stack number;
if the configuration check is correct, determining whether the parameter to be configured passes the configuration check based on a check code in the parameter to be configured;
if so, determining the current working state of the active filter;
determining a parameter modification form of the active filter based on the current working state;
when the parameter modification form is allowed modification, configuring relevant configuration parameters in the active filter based on the parameters to be configured to obtain modified configuration parameters;
detecting whether the changed configuration parameters conform to the operation rules of the active filter;
if yes, determining that the changed configuration parameters take effect;
when the parameter change form is partial modification, in the standby process of the active filter, changing partial parameters of the active filter, and abandoning the unmodified parameters; or caching the unmodified parameters into a specific storage chip, and modifying the relevant configuration parameters corresponding to the unmodified parameters in the active filter when the parameter modification form of the active filter is converted into a modification permission form;
when the parameter modification form is modification prohibition, abandoning the acquired parameters to be configured and acquiring the parameters to be configured again; or caching the acquired parameters to be configured into a specific memory chip, and changing the related configuration parameters of the active filter when the parameter change form of the active filter is converted into a form allowing modification or partial modification.
7. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is run, the machine-readable instructions when executed by the processor performing the steps of the method of determining an active filter control strategy according to any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for determining an active filter control strategy according to any one of claims 1 to 5.
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