Source network load storage integrated voltage fluctuation suppression method, device, equipment and medium

Abstract

The present application relates to the technical field of power quality regulation, and particularly relates to a source-grid-load-storage integrated voltage fluctuation suppression method, device, equipment and medium, the method of the present application first acquires a plurality of first data queues; then for each first data queue, a first amplitude queue is generated by means of sliding and frequency domain analysis, and a first difference queue is obtained by performing difference operation on the first amplitude queue; then, according to a plurality of first difference queues, power flow relationship analysis is performed on each load feeder to obtain a first correlation array; finally, the output of each power feeder is adjusted according to a plurality of first correlation arrays. The present application generates amplitude queues and difference queues by means of sliding and frequency domain analysis, and then obtains a correlation array representing the power flow relationship of the source-grid-load-storage integrated distribution network, and finally adjusts the output of the power feeder through the correlation array, which can achieve better voltage fluctuation suppression effect compared with the prior art mainly by controlling the output of the power feeder.

Description

Technical Field

[0001] This invention relates to the field of power quality regulation technology, and in particular to a method, device, equipment and medium for suppressing voltage fluctuations in an integrated source-grid-load-storage system. Background Technology

[0002] With the power grid as the link, connecting the power source side, load side, and energy storage side, and achieving real-time balance between power supply and demand through intelligent dispatch, while maximizing the absorption of fluctuating new energy sources such as wind power and photovoltaics and reducing carbon emissions, the integrated power grid structure of source, grid, load, and storage is increasingly emerging.

[0003] The core value of the power generation, grid, load and storage system lies in "synergy". Its linkage logic revolves around "power supply and demand balance" and the consumption of new energy: the grid first directly transmits photovoltaic power to nearby loads, and the energy storage system provides a backup. If the photovoltaic output is still excessive, the energy storage system is dispatched to absorb the excess power. And in a timely manner, the load side is guided to increase electricity consumption through "low-price electricity during off-peak hours" to avoid "curtailment of solar power".

[0004] In other words, the integrated generation-grid-load-storage structure can effectively solve the problems of energy distribution and consumption. In fact, the primary focus of this structure is on the consumption of new energy sources. Its core logic is to connect as much current new energy generation as possible to the grid for real-time consumption. However, this leads to significant grid fluctuations. Some technologies address the problems arising from new energy consumption by applying control methods to distributed power sources and energy storage devices within the integrated grid structure. However, due to the exceptionally complex power flow of this grid structure, the effectiveness is relatively limited.

[0005] Therefore, it is necessary to develop and design an integrated source-grid-load-storage voltage fluctuation suppression method. Summary of the Invention

[0006] The present invention provides a method, apparatus, equipment and medium for suppressing voltage fluctuations in a power grid structure that integrates power generation, grid, load and storage, in order to solve the problem that the existing technology has poor voltage fluctuation suppression effect on the integrated power grid structure.

[0007] In a first aspect, embodiments of the present invention provide an integrated source-grid-load-storage voltage fluctuation suppression method, comprising:

[0008] Multiple first data queues are acquired, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder.

[0009] For each first data queue, a first amplitude queue is generated by sliding and frequency domain analysis, and a difference operation is performed on the first amplitude queue to obtain a first difference queue;

[0010] Based on multiple first differential queues, power flow relationship analysis is performed on each load feeder to obtain a first association array, where each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder.

[0011] The output of each power feeder is adjusted based on multiple first association arrays.

[0012] In one possible implementation, the step of generating a first amplitude queue for each first data queue through sliding and frequency domain analysis, and performing a difference operation on the first amplitude queue to obtain a first difference queue, includes:

[0013] For each first data queue, perform the following steps:

[0014] Obtain the fundamental frequency;

[0015] Take a data segment of the first length from the first data queue and use it as the first data segment;

[0016] The first data segment is analyzed in the frequency domain based on the fundamental frequency to obtain the first amplitude.

[0017] The last amplitude in the first amplitude queue is taken as the amplitude to be differentiated;

[0018] The difference between the first amplitude and the amplitude to be differiated is taken as the first difference value and added to the first difference queue;

[0019] Add the first amplitude value to the first amplitude value queue;

[0020] If the extraction position of the first data segment has not reached the end of the first data queue, the extraction position is offset, and the process jumps to the step of extracting a data segment of the first length from the first data queue as the first data segment.

[0021] In one possible implementation, the step of performing frequency domain analysis on the first data segment based on the fundamental frequency to obtain the first amplitude includes:

[0022] Frequency domain analysis is performed on the first data segment according to the first formula and the fundamental frequency to obtain the first amplitude, wherein the first formula is:

[0023]

[0024] in, The first value, For the first data segment One data point, This represents the total number of data items in the first data segment. It is a natural constant. Pi The fundamental frequency, It is the imaginary unit.

[0025] In one possible implementation, the step of performing power flow relationship analysis on each load feeder based on multiple first differential queues to obtain a first association array includes:

[0026] For each load feeder, perform the following steps:

[0027] The first differential queue of the load feeder is used as the first queue to be analyzed.

[0028] For each of the multiple first differential queues corresponding to the power feeder, a correlation analysis is performed with the first queue to be analyzed to obtain a first correlation value;

[0029] Construct a first associated array from multiple of the first associated values.

[0030] In one possible implementation, the step of performing correlation analysis between each first differential queue corresponding to a power feeder in the plurality of first differential queues and the first queue to be analyzed to obtain a first correlation value includes:

[0031] For each of the first differential queues corresponding to a power feeder in the plurality of first differential queues, the following steps are performed respectively:

[0032] Get and initialize the misaligned value;

[0033] Based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed, the intermediate correlation value is calculated, wherein the second formula is:

[0034]

[0035] In the formula, This is an intermediate related value. For the first queue to be analyzed, the first One data point, For the first difference queue One data point, This represents the total number of data items in the first difference queue. It is a misaligned value;

[0036] Add the intermediate associated values ​​to the associated value array;

[0037] If the misalignment value does not reach the preset value, the misalignment value is incremented or decremented, and the process jumps to the step of calculating the intermediate correlation value based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed.

[0038] Otherwise, the value with the largest absolute value in the associated value array is taken as the first associated value.

[0039] In one possible implementation, adjusting the output of each power feeder according to a plurality of first association arrays includes:

[0040] For each power feeder, perform the following steps:

[0041] Extract the corresponding power feeder association value from each first association array and construct a second association array;

[0042] The last value is extracted from the first differential queue corresponding to each load feeder and constructed into a second differential array. The order of the data corresponding to the load feeders in the second differential array is consistent with the order of the data corresponding to the load feeders in the second association array.

[0043] Select the difference values ​​whose absolute values ​​are greater than the difference threshold from the second difference array, and use them as the target difference values;

[0044] The output current of the power feeder is adjusted proportionally based on the current output current of the power feeder, multiple target differential values, and the second correlation array.

[0045] In one possible implementation, adjusting the output current of the power feeder proportionally based on the current output current of the power feeder, multiple target differential values, and the second correlation array includes:

[0046] The output current of the power feeder is adjusted proportionally based on the third formula, the current output current of the power feeder, multiple target differential values, and the second correlation array, wherein the third formula is:

[0047]

[0048] In the formula, To adjust the output current of the power supply feeder, This is the proportionality coefficient. For the first Each target difference value For the second associative array One associated value, This represents the total number of associated values ​​in the second associative array. For the second difference array, the first Each difference value, To adjust the output current of the front power supply feeder.

[0049] Secondly, embodiments of the present invention provide an integrated source-grid-load-storage voltage fluctuation suppression device for implementing the integrated source-grid-load-storage voltage fluctuation suppression method as described in the first aspect or any possible implementation thereof, wherein the integrated source-grid-load-storage voltage fluctuation suppression device comprises:

[0050] The waveform acquisition module is used to acquire multiple first data queues, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder.

[0051] The fluctuation analysis module is used to generate a first amplitude queue for each first data queue through sliding and frequency domain analysis, and to perform differential operations on the first amplitude queue to obtain a first difference queue.

[0052] The power flow analysis module is used to perform power flow analysis on each load feeder based on multiple first differential queues to obtain a first association array, wherein each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder.

[0053] as well as,

[0054] The output adjustment module is used to adjust the output of each power feeder according to multiple first association arrays.

[0055] Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor executes the computer program to implement the steps of the method as described in the first aspect or any possible implementation of the first aspect.

[0056] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any possible implementation thereof.

[0057] The beneficial effects of the embodiments of the present invention compared with the prior art are as follows:

[0058] This invention discloses an integrated source-grid-load-storage voltage fluctuation suppression method. First, multiple first data queues are acquired, each based on the current waveform of a power supply feeder or the voltage waveform of a load feeder. A distributed power source equipped with energy storage devices supplies power to the load feeder via a power supply feeder connected to the main power supply. Then, for each first data queue, a first amplitude queue is generated through sliding and frequency domain analysis, and differential operations are performed on the first amplitude queue to obtain a first differential queue. Next, based on the multiple first differential queues, power flow relationship analysis is performed on each load feeder to obtain a first correlation array, where each element in the first correlation array represents the power flow relationship between the load feeder and a power supply feeder. Finally, the output of each power supply feeder is adjusted based on the multiple first correlation arrays. This invention generates an amplitude queue through sliding and frequency domain analysis, then obtains a differential queue by performing differential operations on the amplitude queue. Based on the differential queue, the load feeder and power feeder are analyzed to obtain an association array characterizing the power flow relationship of the integrated power generation, grid, load, and energy storage distribution network. Finally, by using the association array and the previously obtained differential values, the output of the power feeder is adjusted to suppress voltage fluctuations. This invention suppresses voltage fluctuations through power flow relationships, has little impact on renewable energy consumption, and achieves better voltage fluctuation suppression compared to existing technologies that mainly control the output of the power feeder. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] Figure 1 This is a flowchart of the source-grid-load-storage integrated voltage fluctuation suppression method provided in the embodiments of the present invention;

[0061] Figure 2 This is an application scenario diagram of the source-grid-load-storage regulation method provided in the embodiments of the present invention;

[0062] Figure 3 This is a functional block diagram of the integrated source-grid-load-storage voltage fluctuation suppression device provided in the embodiments of the present invention;

[0063] Figure 4 This is a functional block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0064] In the following description, specific details such as particular system structures and techniques are set forth for illustrative purposes and not for limitation, so as to provide a thorough understanding of embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0065] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0066] The embodiments of the present invention will be described in detail below. This example is implemented based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. However, the protection scope of the present invention is not limited to the following embodiments.

[0067] Figure 1 A flowchart of the source-grid-load-storage integrated voltage fluctuation suppression method provided for embodiments of the present invention.

[0068] like Figure 1 As shown, a flowchart illustrating the implementation of the integrated source-grid-load-storage voltage fluctuation suppression method provided by an embodiment of the present invention is presented below in detail:

[0069] In step 101, multiple first data queues are acquired, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder.

[0070] In step 102, for each first data queue, a first amplitude queue is generated by sliding and frequency domain analysis, and a difference operation is performed on the first amplitude queue to obtain a first difference queue.

[0071] In some implementations, the step of generating a first amplitude queue for each first data queue through sliding and frequency domain analysis, and performing a differential operation on the first amplitude queue to obtain a first difference queue, includes:

[0072] For each first data queue, perform the following steps:

[0073] Obtain the fundamental frequency;

[0074] Take a data segment of the first length from the first data queue and use it as the first data segment;

[0075] The first data segment is analyzed in the frequency domain based on the fundamental frequency to obtain the first amplitude.

[0076] The last amplitude in the first amplitude queue is taken as the amplitude to be differentiated;

[0077] The difference between the first amplitude and the amplitude to be differiated is taken as the first difference value and added to the first difference queue;

[0078] Add the first amplitude value to the first amplitude value queue;

[0079] If the extraction position of the first data segment has not reached the end of the first data queue, the extraction position is offset, and the process jumps to the step of extracting a data segment of the first length from the first data queue as the first data segment.

[0080] In some implementations, the step of performing frequency domain analysis on the first data segment based on the fundamental frequency to obtain the first amplitude includes:

[0081] Frequency domain analysis is performed on the first data segment according to the first formula and the fundamental frequency to obtain the first amplitude, wherein the first formula is:

[0082]

[0083] in, The first value, For the first data segment One data point, This represents the total number of data items in the first data segment. It is a natural constant. Pi The fundamental frequency, It is the imaginary unit.

[0084] For example, the present invention provides a voltage fluctuation suppression method applied to a power distribution network structure integrating source, grid, load and storage. It aims to analyze the trend of voltage fluctuation through frequency domain analysis, perform power flow relationship analysis based on the fluctuation trend, and finally adjust the power supply feeder according to the power flow relationship and the load feeder with the intensified fluctuation trend to achieve the purpose of voltage fluctuation suppression.

[0085] Figure 2 The diagram illustrates an application scenario of the method of this invention. In the power distribution network of this application scenario, the main power source 201 supplies power to the loads 204 connected to multiple load feeders 203 via bus 202. Simultaneously, multiple distributed power sources 206 and an energy storage device 207 installed in parallel with the distributed power sources 206 generate electricity through the power feeder 205. By controlling the grid-connected output of the power feeder 205 and bus 202 (the surplus power generated by the distributed power sources 206 is stored through the energy storage device 207, and the insufficient power output is supplemented by the energy storage device 207), the voltage fluctuations at the load feeder 203 of the grid can be suppressed.

[0086] To achieve the above objectives, the present invention first obtains a data queue: a first data queue, by sampling the load feeder voltage waveform and the power supply feeder current waveform. This data queue is then used to obtain a first amplitude queue through sliding and frequency domain analysis. The first amplitude queue is then subjected to differential operation to obtain a first differential queue.

[0087] Specifically, a data segment is slidably retrieved from the first data queue. This data segment is then subjected to frequency domain analysis based on its fundamental frequency (usually the power frequency) to obtain the first amplitude. In one scenario, the first amplitude is obtained by applying a first formula.

[0088]

[0089] in, The first value, For the first data segment One data point, This represents the total number of data items in the first data segment. It is a natural constant. Pi The fundamental frequency, It is the imaginary unit.

[0090] This amplitude is subtracted from the value at the end of the first amplitude queue to obtain a difference value. If the first amplitude queue is empty, the difference value is set to 0, and this difference value is added to the first difference queue. The first amplitude value is also added to the first amplitude queue.

[0091] As the sliding continues, we obtain a first magnitude queue and a first difference queue.

[0092] In step 103, power flow relationship analysis is performed on each load feeder according to multiple first differential queues to obtain a first association array, wherein each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder.

[0093] In some implementations, the step of performing power flow relationship analysis on each load feeder based on multiple first differential queues to obtain a first association array includes:

[0094] For each load feeder, perform the following steps:

[0095] The first differential queue of the load feeder is used as the first queue to be analyzed.

[0096] For each of the multiple first differential queues corresponding to the power feeder, a correlation analysis is performed with the first queue to be analyzed to obtain a first correlation value;

[0097] Construct a first associated array from multiple of the first associated values.

[0098] In some implementations, the step of performing correlation analysis between each first differential queue corresponding to a power feeder in the plurality of first differential queues and the first queue to be analyzed to obtain a first correlation value includes:

[0099] For each of the first differential queues corresponding to a power feeder in the plurality of first differential queues, the following steps are performed respectively:

[0100] Get and initialize the misaligned value;

[0101] Based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed, the intermediate correlation value is calculated, wherein the second formula is:

[0102]

[0103] In the formula, This is an intermediate related value. For the first queue to be analyzed, the first One data point, For the first difference queue One data point, This represents the total number of data items in the first difference queue. It is a misaligned value;

[0104] Add the intermediate associated values ​​to the associated value array;

[0105] If the misalignment value does not reach the preset value, the misalignment value is incremented or decremented, and the process jumps to the step of calculating the intermediate correlation value based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed.

[0106] Otherwise, the value with the largest absolute value in the associated value array is taken as the first associated value.

[0107] For example, in terms of power flow analysis, the present invention performs correlation analysis on the first differential queue corresponding to each load feeder and the first differential queue corresponding to each power feeder, and constructs the results of these correlation analyses into a correlation array.

[0108] In reality, due to the presence of inductive and capacitive loads in the power grid, there is a certain phase difference in the relationship between current and voltage, as well as the fluctuation relationship between current and voltage. Therefore, when analyzing the correlation, these factors need to be considered.

[0109] In this embodiment of the invention, when analyzing correlation values, a misalignment value is set. The misalignment value gradually increases or decreases, and the correlation value is calculated according to the second formula for each increment.

[0110]

[0111] In the formula, This is an intermediate related value. For the first queue to be analyzed, the first One data point, For the first difference queue One data point, This represents the total number of data items in the first difference queue. This is a misaligned value.

[0112] Each calculated correlation value is added to the correlation value array until the misalignment value reaches a set value. At this point, the value with the largest absolute value is extracted from the correlation value array as the first correlation value.

[0113] In step 104, the output of each power feeder is adjusted according to a plurality of first association arrays.

[0114] In some implementations, adjusting the output of each power feeder according to a plurality of first association arrays includes:

[0115] For each power feeder, perform the following steps:

[0116] Extract the corresponding power feeder association value from each first association array and construct a second association array;

[0117] The last value is extracted from the first differential queue corresponding to each load feeder and constructed into a second differential array. The order of the data corresponding to the load feeders in the second differential array is consistent with the order of the data corresponding to the load feeders in the second association array.

[0118] Select the difference values ​​whose absolute values ​​are greater than the difference threshold from the second difference array, and use them as the target difference values;

[0119] The output current of the power feeder is adjusted proportionally based on the current output current of the power feeder, multiple target differential values, and the second correlation array.

[0120] In some implementations, adjusting the output current of the power feeder proportionally based on the current output current of the power feeder, multiple target differential values, and the second correlation array includes:

[0121] The output current of the power feeder is adjusted proportionally based on the third formula, the current output current of the power feeder, multiple target differential values, and the second correlation array, wherein the third formula is:

[0122]

[0123] In the formula, To adjust the output current of the power supply feeder, This is the proportionality coefficient. For the first Each target difference value For the second associative array One associated value, This represents the total number of associated values ​​in the second associative array. For the second difference array, the first Each difference value, To adjust the output current of the front power supply feeder.

[0124] For example, in terms of analyzing and adjusting the output of distributed power sources, the present invention constructs a second association array by extracting the association values ​​of the corresponding power feeders from each first association array for each power feeder. The meaning of this array is the power flow relationship between the output of the power feeder and multiple load feeders.

[0125] Our goal is to suppress voltage fluctuations in the load feeders. Therefore, we extract the last value from the first differential queue of each load feeder and construct a second differential array. This array represents the voltage fluctuation value of the load feeder at the current moment. It should be noted that since the output of the power supply feeder is adjusted based on the second differential array and the second correlation array, and since both are derived from the load feeder, it is necessary to ensure that the correspondence between the two arrays and the load feeder is consistent for subsequent processing.

[0126] For example, if the multiple associated values ​​in the second associated array are the associated values ​​of the power supply feeder and the 1st, 2nd...DNth feeder respectively, then the difference values ​​in the second difference array are the difference values ​​obtained from the 1st, 2nd...DNth feeders respectively.

[0127] We extract the difference values ​​whose absolute values ​​are greater than a threshold from the second difference array, and use these difference values ​​as target difference values. The load feeders corresponding to these target difference values ​​are those that need to have their voltage fluctuations suppressed by adjusting the power supply feeders. Finally, based on these target difference values, the output current of the power supply feeders, and the second correlation array, we use the third formula to determine the adjusted current. The third formula is as follows:

[0128]

[0129] In the formula, To adjust the output current of the power supply feeder, This is the proportionality coefficient. For the first Each target difference value For the second associative array One associated value, This represents the total number of associated values ​​in the second associative array. For the second difference array, the first Each difference value, To adjust the output current of the front power supply feeder.

[0130] The present invention discloses an integrated source-grid-load-storage voltage fluctuation suppression method. First, multiple first data queues are acquired, each based on the current waveform of a power supply feeder or the voltage waveform of a load feeder. A distributed power source equipped with energy storage devices supplies power to the load feeder via a power supply feeder connected to the main power supply. Then, for each first data queue, a first amplitude queue is generated through sliding and frequency domain analysis, and differential operations are performed on the first amplitude queue to obtain a first differential queue. Next, based on the multiple first differential queues, power flow relationship analysis is performed on each load feeder to obtain a first correlation array, where each element in the first correlation array represents the power flow relationship between the load feeder and a power supply feeder. Finally, the output of each power supply feeder is adjusted based on the multiple first correlation arrays. This invention generates an amplitude queue through sliding and frequency domain analysis, then obtains a differential queue by performing differential operations on the amplitude queue. Based on the differential queue, the load feeder and power feeder are analyzed to obtain an association array characterizing the power flow relationship of the integrated power generation, grid, load, and energy storage distribution network. Finally, by using the association array and the previously obtained differential values, the output of the power feeder is adjusted to suppress voltage fluctuations. This invention suppresses voltage fluctuations through power flow relationships, has little impact on renewable energy consumption, and achieves better voltage fluctuation suppression compared to existing technologies that mainly control the output of the power feeder.

[0131] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0132] The following are embodiments of the apparatus of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0133] Figure 3 This is a functional block diagram of the integrated source-grid-load-storage voltage fluctuation suppression device provided in an embodiment of the present invention, with reference to... Figure 3 The integrated source-grid-load-storage voltage fluctuation suppression device includes: a waveform acquisition module 301, a fluctuation analysis module 302, a power flow relationship analysis module 303, and an output adjustment module 304, wherein:

[0134] The waveform acquisition module 301 is used to acquire multiple first data queues, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with an energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder.

[0135] The fluctuation analysis module 302 is used to generate a first amplitude queue for each first data queue by means of sliding and frequency domain analysis, and to perform differential operation on the first amplitude queue to obtain a first difference queue;

[0136] The power flow analysis module 303 is used to perform power flow analysis on each load feeder based on multiple first differential queues to obtain a first association array, wherein each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder.

[0137] Output adjustment module 304 is used to adjust the output of each power feeder according to multiple first association arrays.

[0138] Figure 4 This is a functional block diagram of the electronic device provided in an embodiment of the present invention. For example... Figure 4 As shown, the electronic device 4 of this embodiment includes a processor 400 and a memory 401, wherein the memory 401 stores a computer program 402 that can run on the processor 400. When the processor 400 executes the computer program 402, it implements the steps of the above-described integrated source-grid-load-storage voltage fluctuation suppression method and embodiments, for example... Figure 1 Steps 101 to 104 are shown.

[0139] For example, the computer program 402 may be divided into one or more modules / units, which are stored in the memory 401 and executed by the processor 400 to complete the present invention.

[0140] The electronic device 4 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The electronic device 4 may include, but is not limited to, a processor 400 and a memory 401. Those skilled in the art will understand that... Figure 4 This is merely an example of electronic device 4 and does not constitute a limitation on electronic device 4. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 4 may also include input / output devices, network access devices, buses, etc.

[0141] The processor 400 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0142] The memory 401 can be an internal storage unit of the electronic device 4, such as a hard disk or memory. The memory 401 can also be an external storage device of the electronic device 4, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 401 can include both internal and external storage units of the electronic device 4. The memory 401 is used to store the computer program 402 and other programs and data required by the electronic device 4. The memory 401 can also be used to temporarily store data that has been output or will be output.

[0143] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0144] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0145] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0146] In the embodiments provided by this invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0147] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0148] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0149] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-described embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various methods and apparatus embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0150] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for suppressing voltage fluctuations in an integrated source-grid-load-storage system, characterized in that, include: Multiple first data queues are acquired, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder. For each first data queue, a first amplitude queue is generated by sliding and frequency domain analysis, and a difference operation is performed on the first amplitude queue to obtain a first difference queue; Based on multiple first differential queues, power flow relationship analysis is performed on each load feeder to obtain a first association array, where each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder. Adjusting the output of each power feeder based on multiple first associative arrays, including: For each power feeder, perform the following steps: Extract the corresponding power feeder association value from each first association array and construct a second association array; The last value is extracted from the first differential queue corresponding to each load feeder and constructed into a second differential array. The order of the data corresponding to the load feeders in the second differential array is consistent with the order of the data corresponding to the load feeders in the second association array. Select the difference values ​​whose absolute values ​​are greater than the difference threshold from the second difference array, and use them as the target difference values; The output current of the power feeder is adjusted proportionally based on the third formula, the current output current of the power feeder, multiple target differential values, and the second correlation array, wherein the third formula is: In the formula, To adjust the output current of the power supply feeder, This is the proportionality coefficient. For the first Each target difference value For the second associative array One associated value, This represents the total number of associated values ​​in the second associative array. For the second difference array, the first Each difference value, To adjust the output current of the front power supply feeder.

2. The integrated source-grid-load-storage voltage fluctuation suppression method according to claim 1, characterized in that, For each first data queue, a first amplitude queue is generated through sliding and frequency domain analysis, and a difference operation is performed on the first amplitude queue to obtain a first difference queue, including: For each first data queue, perform the following steps: Obtain the fundamental frequency; Take a data segment of the first length from the first data queue and use it as the first data segment; The first data segment is analyzed in the frequency domain based on the fundamental frequency to obtain the first amplitude. The last amplitude in the first amplitude queue is taken as the amplitude to be differentiated; The difference between the first amplitude and the amplitude to be differiated is taken as the first difference value and added to the first difference queue; Add the first amplitude value to the first amplitude value queue; If the extraction position of the first data segment has not reached the end of the first data queue, the extraction position is offset, and the process jumps to the step of extracting a data segment of the first length from the first data queue as the first data segment.

3. The integrated source-grid-load-storage voltage fluctuation suppression method according to claim 2, characterized in that, The step of performing frequency domain analysis on the first data segment based on the fundamental frequency to obtain the first amplitude includes: Frequency domain analysis is performed on the first data segment according to the first formula and the fundamental frequency to obtain the first amplitude, wherein the first formula is: in, The first value, For the first data segment One data point, This represents the total number of data items in the first data segment. It is a natural constant. Pi The fundamental frequency, It is the imaginary unit.

4. The integrated source-grid-load-storage voltage fluctuation suppression method according to claim 1, characterized in that, The first correlation array is obtained by performing power flow relationship analysis on each load feeder based on multiple first differential queues, including: For each load feeder, perform the following steps: The first differential queue of the load feeder is used as the first queue to be analyzed. For each of the multiple first differential queues corresponding to the power feeder, a correlation analysis is performed with the first queue to be analyzed to obtain a first correlation value; Construct a first associated array from multiple of the first associated values.

5. The integrated source-grid-load-storage voltage fluctuation suppression method according to claim 4, characterized in that, The step of performing correlation analysis between each first differential queue corresponding to a power feeder in the plurality of first differential queues and the first queue to be analyzed to obtain a first correlation value includes: For each of the first differential queues corresponding to a power feeder in the plurality of first differential queues, the following steps are performed respectively: Get and initialize the misaligned value; Based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed, the intermediate correlation value is calculated, wherein the second formula is: In the formula, This is an intermediate related value. For the first queue to be analyzed, the first One data point, For the first difference queue One data point, This represents the total number of data items in the first difference queue. It is a misaligned value; Add the intermediate associated values ​​to the associated value array; If the misalignment value does not reach the preset value, the misalignment value is incremented or decremented, and the process jumps to the step of calculating the intermediate correlation value based on the second formula, the misalignment value, the first difference queue, and the first queue to be analyzed. Otherwise, the value with the largest absolute value in the associated value array is taken as the first associated value.

6. A source-grid-load-storage integrated voltage fluctuation suppression device, characterized in that, For implementing the integrated source-grid-load-storage voltage fluctuation suppression method as described in any one of claims 1-5, the integrated source-grid-load-storage voltage fluctuation suppression device comprises: The waveform acquisition module is used to acquire multiple first data queues, wherein each first data queue is acquired based on the current waveform of the power supply feeder or the voltage waveform of the load feeder. The distributed power supply equipped with energy storage device is connected to the main power supply through the power supply feeder to supply power to the load feeder. The fluctuation analysis module is used to generate a first amplitude queue for each first data queue through sliding and frequency domain analysis, and to perform differential operations on the first amplitude queue to obtain a first difference queue. The power flow analysis module is used to perform power flow analysis on each load feeder based on multiple first differential queues to obtain a first association array, wherein each element in the first association array represents the power flow relationship between the load feeder and a power supply feeder. as well as, The output adjustment module is used to adjust the output of each power feeder according to multiple first association arrays.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5 above.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5 above.

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