Processing system for regulating and controlling power of charging pile

Abstract

The invention relates to the technical field of intelligent regulation and control, and particularly discloses a processing system for regulating and controlling the power of a charging pile, which comprises a data acquisition module, a power grid frequency data analysis module, a power grid voltage data analysis module, a comprehensive analysis module and a power dynamic adjustment module, the data acquisition module acquires frequency and voltage data of a power grid in real time through a frequency and voltage sensor, the analysis module processes the acquired data and extracts a power grid frequency fluctuation index and a power grid voltage fluctuation index, and the comprehensive analysis module combines the two fluctuation indexes to calculate a power grid abnormal index; and the power dynamic adjustment module judges the current states of the power grid according to the power grid abnormal index, including a serious abnormal state, a general abnormal state and a normal state, and outputs a corresponding charging power regulation and control command according to the judgment result.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and in particular to a processing system for performing power control on a charging pile. Background Art

[0002] With the popularity of electric vehicles, charging piles, as the connection interface between electric vehicles and the power grid, are becoming increasingly important in terms of stability and safety. However, the power supply stability of the power grid often fluctuates, especially during high-load periods, when the frequency and voltage of the power grid are prone to fluctuations, which poses a threat to the stable operation of the charging piles. Traditional charging pile systems usually lack the ability to monitor and adjust power grid fluctuations in real time. Once an abnormality occurs in the power grid, the charging piles fail to adjust the charging power in time, which may cause the power grid to overload, damage the charging piles, and even cause power equipment failure. In addition, the existing systems mostly rely on fixed charging power settings and cannot dynamically adjust the charging power according to the real-time changes in the power grid, thereby exacerbating the fluctuation of the power grid load and the instability of the charging process of electric vehicles. In addition, the existing technology lacks real-time collection of power grid frequency and voltage data, analysis of power grid fluctuations, and dynamic adjustment of charging power according to the state of the power grid. When the power grid is seriously abnormal, the system can reduce the burden on the power grid by suspending charging or reducing power to prevent overload of the power grid; when the power grid is stable, the charging piles can maintain normal charging power to ensure a smooth charging process. Summary of the invention

[0003] The purpose of the present invention is to provide a processing system for power regulation of a charging pile to solve the above-mentioned background problems.

[0004] The purpose of the present invention can be achieved through the following technical solutions: A processing system for power regulation of a charging pile, comprising: A data acquisition module, wherein the data acquisition module acquires grid data of the grid where the charging pile is located within a monitoring cycle, including: grid frequency data and grid voltage data; the grid frequency data is acquired in real time by a frequency sensor deployed on the grid side; the grid voltage data is acquired in real time by a voltage sensor deployed on the grid side; A power grid frequency data analysis module, which processes the power grid frequency data of the power grid where the charging pile is located, analyzes the change of the power grid frequency data, and calculates the power grid frequency fluctuation index in combination with the kurtosis and skewness of the power grid frequency data; A grid voltage data analysis module, which processes grid voltage data of the grid where the charging pile is located, converts the grid voltage data from the time domain to the frequency domain through Fourier transform, and calculates the grid voltage fluctuation index based on the power spectrum density; A comprehensive analysis module, which comprehensively analyzes the grid frequency fluctuation index and the grid voltage fluctuation index, calculates the grid anomaly index of the grid where the charging pile is located, and evaluates the stability of the grid where the charging pile is located; The power dynamic adjustment module determines whether the charging power of the charging pile needs to be regulated according to the evaluation result, and dynamically adjusts the charging power of the charging pile according to the judgment result.

[0005] As a further solution of the present invention: the process of obtaining the power grid frequency fluctuation index is: During the monitoring period, the grid frequency data of the grid where the charging pile is located is obtained, and all the collected grid frequency data are integrated into a grid frequency data group, which is recorded as a grid frequency group; Get the mean value of the grid frequency data in the grid frequency group and standard deviation ; The mean value of the grid frequency data in the grid frequency group and standard deviation Processing is performed to calculate the kurtosis and skewness of the power grid frequency group; Wherein, the calculation expression of the kurtosis is: ; In the formula, represents the kurtosis of the power grid frequency group, i represents the number of power grid frequency data in the power grid frequency group, Indicates the maximum number of grid frequency data, represents the i-th grid frequency data, represents the mean value of the power grid frequency data, Represents the standard deviation of the power grid frequency data; The calculation expression of the skewness is: ; In the formula, Indicates the skewness of the grid frequency group; The kurtosis and skewness of the power grid frequency group are processed to calculate the power grid frequency fluctuation index.

[0006] As a further solution of the present invention: the process of obtaining the grid voltage fluctuation index is: During the monitoring period, grid voltage data is obtained, and the obtained grid voltage data is sorted according to a time series; The grid voltage data is removed from the mean value to eliminate the DC component of the grid voltage and obtain a zero-mean sequence. The calculation expression is: ; In the formula, represents the zero-mean grid voltage signal, Indicates The grid voltage data of the time collection point, Indicates Time collection point, Indicates the average value of the grid voltage data within the monitoring period, Indicates the number of time collection points; Perform discrete Fourier transform on the zero-mean voltage signal to convert the time domain data into frequency domain data; the expression of Fourier transform is: ; In the formula, Indicates The Fourier coefficients of the frequency components, represents the number of frequency components, represents the imaginary unit, Indicates the total number of time collection points; Calculate the power spectral density of the grid voltage signal through Fourier coefficients , the calculation expression is: ; In the formula, represents the power spectrum density of the grid voltage signal, is the square of the modulus of the Fourier coefficient, representing the energy of the grid voltage fluctuation, represents the mth frequency; By analyzing the power spectrum density of the voltage signal and calculating the cumulative value of the power spectrum in the entire frequency range, the cumulative power spectrum is obtained. The calculation expression is: ; In the formula, Represents the cumulative power spectrum; the power spectrum density and the cumulative power spectrum are used to calculate the grid voltage fluctuation index, and the calculation expression is: ; In the formula, represents the grid voltage fluctuation index, Represents the maximum cumulative power spectrum of the entire signal.

[0007] As a further solution of the present invention: the process of obtaining the power grid abnormality index is: The grid frequency fluctuation index and the grid voltage fluctuation index are normalized, and the grid anomaly index of the grid where the charging pile is located is calculated.

[0008] As a further solution of the present invention: the evaluation of the stability of the power grid where the charging pile is located specifically includes: Compare the power grid abnormality index with the preset first threshold; if the power grid abnormality index is greater than or equal to the preset first threshold, it is recorded as a serious abnormal state; if the power grid abnormality index is less than the preset first threshold and greater than or equal to the preset second threshold, it is recorded as a general abnormal state; if the power grid abnormality index is less than the preset second threshold, it is recorded as a normal state.

[0009] As a further solution of the present invention: judging whether the charging power of the charging pile needs to be regulated according to the evaluation result specifically includes: Based on the judgment result, a charging power control command is output, and the charging power of the charging pile is adjusted according to the control command; based on a serious abnormal state, a command to suspend charging is output; based on a general abnormal state, a command to reduce the charging power is output; based on a normal state, a command to maintain the current charging power is output.

[0010] As a further solution of the present invention: the charging power of the charging pile is adjusted according to the control command, specifically including: based on a serious abnormal state, outputting a command to suspend charging, and the charging pile will temporarily stop charging; based on a general abnormal state, outputting a command to reduce the charging power, and the charging power of the charging pile is reduced and adjusted, and the specific adjustment is made according to the carrying capacity of the power grid, including setting a power adjustment ratio threshold, multiplying the real-time power by the power adjustment ratio threshold to obtain a value that needs to be adjusted; based on a normal state, outputting a command to maintain the current charging power, and the charging pile maintains the existing charging power and continues to work.

[0011] As a further solution of the present invention: the power dynamic adjustment module at least further includes: A power grid status determination unit, the power grid status determination unit is used to determine whether the state of the power grid is abnormal; a charging power command unit, the charging power command unit issues a charging power adjustment command according to the power grid state; an execution adjustment unit, the execution adjustment unit is used to execute the command of the charging power command unit.

[0012] Beneficial effects of the present invention: (1) The present invention improves the safety and stability of the power grid through an intelligent power control scheme. In the traditional charging pile operation mode, the power of the charging pile is usually fixed and cannot be dynamically adjusted according to the actual load of the power grid, which easily leads to overload of the power grid. In particular, when the frequency or voltage of the power grid fluctuates, excessive charging power may aggravate the instability of the power grid and even cause power grid failure. The present invention collects the frequency and voltage data of the power grid in real time, calculates the fluctuation index of the power grid, and automatically adjusts the power of the charging pile according to the stability of the power grid. When the power grid is in an abnormal state, the burden of the power grid can be reduced by reducing the charging power or suspending charging to avoid overload and failure of the power grid. In the case of large fluctuations in the frequency of the power grid, the present invention will automatically adjust the power of the charging pile to avoid further burden of the charging pile on the power grid. In particular, when the power grid is seriously abnormal, charging can be directly suspended to ensure that the power grid can recover stability. When the frequency and voltage fluctuations of the power grid are small and normal, the charging pile can maintain the current power and continue to provide charging services for electric vehicles. (2) The present invention can improve the operating efficiency and service quality of the charging pile by dynamically adjusting the power of the charging pile, and optimize the user experience of the charging pile and the configuration of power resources. In the traditional charging pile system, since the charging power is fixed, the charging of electric vehicles may be affected by the instability of the power supply of the power grid. In particular, when the power grid is overloaded, fluctuates frequently or is abnormal, the charging pile may face insufficient power or be unable to charge stably. However, by introducing the power grid fluctuation index and the intelligent power control mechanism, the present invention can respond to the changes of the power grid in real time and automatically adjust the charging power, so that the charging pile can still maintain good charging service quality when the power grid conditions are unstable. When the power grid fluctuates frequently or is abnormal, the power of the charging pile will be automatically adjusted according to the carrying capacity of the power grid to avoid power shortage or power outage during the charging process of the electric vehicle, thereby ensuring the continuity and stability of the charging process. In addition, the system can also maintain a higher charging power when the power grid load is low, improve charging efficiency, reduce charging time, and improve the user's charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below in conjunction with the accompanying drawings.

[0014] Figure 1 It is a flow chart of a processing system for power regulation of a charging pile according to the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figure 1 As shown, the present invention is a processing system for power regulation of a charging pile, comprising: A data acquisition module, wherein the data acquisition module acquires grid data of the grid where the charging pile is located within a monitoring cycle, including: grid frequency data and grid voltage data; the grid frequency data is acquired in real time by a frequency sensor deployed on the grid side; the grid voltage data is acquired in real time by a voltage sensor deployed on the grid side; A power grid frequency data analysis module, which processes the power grid frequency data of the power grid where the charging pile is located, analyzes the change of the power grid frequency data, and calculates the power grid frequency fluctuation index in combination with the kurtosis and skewness of the power grid frequency data; A grid voltage data analysis module, which processes grid voltage data of the grid where the charging pile is located, converts the grid voltage data from the time domain to the frequency domain through Fourier transform, and calculates the grid voltage fluctuation index based on the power spectrum density; A comprehensive analysis module, which comprehensively analyzes the power grid frequency fluctuation index and the power grid voltage fluctuation index, calculates the power grid anomaly index of the power grid where the charging pile is located, and evaluates the stability of the power grid where the charging pile is located; The power dynamic adjustment module determines whether the charging power of the charging pile needs to be regulated according to the evaluation result, and dynamically adjusts the charging power of the charging pile according to the judgment result.

[0017] In the data acquisition module, the data acquisition module obtains the grid data of the grid where the charging pile is located within a monitoring cycle, including: grid frequency data and grid voltage data, specifically including: When the system starts, first ensure that each charging pile and the data acquisition module are connected normally. At this time, the data acquisition module can be connected to each charging pile through wireless communication (such as Wi-Fi, 4G / 5G, LoRa) or wired communication (such as Ethernet, serial port).

[0018] In order to ensure the accuracy of time series data, time synchronization is required between the data acquisition module and each charging pile. Use NTP (Network Time Protocol) or GPS time synchronization method to ensure that the data collected by each charging pile has a unified time base.

[0019] Deploy frequency sensors on the grid side corresponding to the charging pile; In a monitoring cycle, the frequency sensor collects the grid frequency data in real time according to the time series (such as every minute); Before collecting grid frequency data, calibrate the frequency sensor to ensure the accuracy of the collected data; Deploy voltage sensors on the grid side corresponding to the charging pile; In a monitoring cycle, the grid voltage data is collected in real time through voltage sensors in a time series (e.g., every minute); Before collecting grid voltage data, the voltage sensor is calibrated to ensure the accuracy of the collected data.

[0020] In the grid frequency data analysis module, the grid frequency data of the grid where the charging pile is located is processed to calculate the grid frequency fluctuation index, which includes: During the monitoring period, the grid frequency data of the grid where the charging pile is located is obtained, and all the collected grid frequency data are integrated into a grid frequency data group, which is recorded as a grid frequency group; Get the mean value of the grid frequency data in the grid frequency group and standard deviation ; The mean value of the grid frequency data in the grid frequency group and standard deviation Processing is performed to calculate the kurtosis and skewness of the power grid frequency group; Wherein, the calculation expression of the kurtosis is: ; In the formula, represents the kurtosis of the power grid frequency group, i represents the number of power grid frequency data in the power grid frequency group, Indicates the maximum number of grid frequency data, represents the i-th grid frequency data, represents the mean value of the power grid frequency data, Represents the standard deviation of the power grid frequency data; The calculation expression of the skewness is: ; In the formula, Indicates the skewness of the grid frequency group; The kurtosis and skewness of the power grid frequency group are processed to calculate the power grid frequency fluctuation index. The calculation expression is: ; In the formula, represents the power grid frequency fluctuation index, e represents the logarithm of the natural number base, and is the preset scaling factor for i, and and are greater than 0, represents the skewness of the grid frequency group, Represents the kurtosis of the grid frequency group.

[0021] In the grid voltage data analysis module, the grid voltage data of the grid where the charging pile is located is processed to calculate the grid voltage fluctuation index, including: During the monitoring period, grid voltage data is obtained, and the obtained grid voltage data is sorted according to a time series; The grid voltage data is de-meaned to eliminate the DC component of the grid voltage and obtain a zero-mean sequence. The calculation expression is: ; In the formula, represents the zero-mean grid voltage signal, Indicates The grid voltage data of the time collection point, Indicates Time collection point, Indicates the average value of the grid voltage data within the monitoring period, Indicates the number of time collection points; Perform discrete Fourier transform on the zero-mean voltage signal to convert the time domain data into frequency domain data; the expression of Fourier transform is: ; In the formula, Indicates The Fourier coefficients of the frequency components, represents the number of frequency components, represents the imaginary unit, Indicates the total number of time collection points; Calculate the power spectral density of the grid voltage signal through Fourier coefficients , the calculation expression is: ; In the formula, represents the power spectrum density of the grid voltage signal, is the square of the modulus of the Fourier coefficient, representing the energy of the grid voltage fluctuation, represents the mth frequency; It should be noted that: power spectral density Indicates that the signal is at frequency The energy intensity at .

[0022] By analyzing the power spectrum density of the voltage signal and calculating the cumulative value of the power spectrum in the entire frequency range, the cumulative power spectrum is obtained. The calculation expression is: ; In the formula, represents the cumulative power spectrum; It should be noted that the cumulative power spectrum represents the total fluctuation energy of the grid voltage signal changing with time.

[0023] The power spectrum density and cumulative power spectrum are used to calculate the grid voltage fluctuation index. The calculation expression is: ; In the formula, represents the grid voltage fluctuation index, Represents the maximum cumulative power spectrum of the entire signal; It should be noted that the method for calculating the grid voltage fluctuation index is to convert the grid voltage data from the time domain to the frequency domain through Fourier transform, and calculate the grid voltage fluctuation index based on the power spectrum density.

[0024] In the comprehensive analysis module, the grid frequency fluctuation index and grid voltage fluctuation index are comprehensively analyzed, the grid anomaly index of the grid where the charging pile is located is calculated, and the stability of the grid where the charging pile is located is evaluated, including: The grid frequency fluctuation index and grid voltage fluctuation index are normalized, and the grid anomaly index of the grid where the charging pile is located is calculated. The calculation expression is: ; In the formula, Indicates the power grid abnormality index, represents the power grid frequency fluctuation index, represents the grid voltage fluctuation index, and is the preset scale factor, and and All are greater than 0; Grid Anomaly Index comparing with a preset first threshold; If the power grid abnormality index If it is greater than or equal to the preset first threshold, it means that the abnormal state of the power grid where the corresponding charging pile is located is serious, which is recorded as a serious abnormal state; If the power grid abnormality index If the value is less than the preset first threshold value and greater than or equal to the preset second threshold value, it indicates that the abnormal state of the power grid where the corresponding charging pile is located is general, which is recorded as a general abnormal state; If the power grid abnormality index If the value is less than the preset second threshold, it means that the power grid where the corresponding charging pile is located is normal, which is recorded as normal state; It should be noted that: the first threshold is greater than the second threshold.

[0025] In the power dynamic adjustment module, based on the evaluation results, it is determined whether the charging power of the charging pile needs to be adjusted. Based on the judgment results, the charging power of the charging pile is dynamically adjusted, specifically including: According to the judgment result, the power dynamic adjustment module outputs the charging power control command, which specifically includes: Based on serious abnormal conditions, a command to suspend charging is output, and the charging pile will temporarily stop charging to reduce the load on the power grid; It should be noted that the severe abnormal state is the state when the abnormal index of the power grid exceeds the preset first threshold, indicating that the power grid has experienced a more severe fluctuation or instability; if charging continues, it will cause the power grid to be overloaded, thereby aggravating the instability of the power grid and may even cause more serious power grid failures; In the event of a serious abnormal condition, the charging pile should immediately suspend charging to avoid placing more burden on the power grid; the command to suspend charging can be transmitted to the charging pile control module via wireless communication (such as Wi-Fi, 4G / 5G, LoRa) or wired communication (such as Ethernet) to stop the charging pile from charging.

[0026] Based on the general abnormal state, a command to reduce the charging power is output, and the charging power of the charging pile is adjusted to be reduced. The specific adjustment is made according to the carrying capacity of the power grid, including setting a power adjustment ratio threshold; The real-time power is multiplied by the power adjustment ratio threshold to obtain a value of the power that needs to be adjusted.

[0027] It should be noted that: Under normal abnormal conditions, charging piles reduce the load on the power grid by reducing the charging power to avoid further deterioration of the power grid; the charging power of the charging piles is adjusted according to the carrying capacity of the power grid, and the specific adjustment range is dynamically calculated based on real-time power grid data (such as voltage, current, frequency, etc.).

[0028] Based on the normal state, a command to maintain the current charging power is output, so the existing charging power of the charging pile is maintained and the work continues; It should be noted that the core function of the power dynamic adjustment module is to judge the current state of the power grid based on the power grid abnormality index, and take corresponding charging power adjustment measures based on the state; through reasonable power regulation, the overload of the power grid can be effectively avoided, ensuring the safe operation of the charging pile and the power grid.

[0029] The technical solution of this module is: obtain the power grid anomaly index from the comprehensive analysis module. The power grid anomaly index is calculated based on the frequency fluctuation and voltage fluctuation of the power grid, reflecting the current stability of the power grid. According to the comparison between the power grid anomaly index and the preset threshold, the power grid is judged in which state (severe anomaly, general anomaly, normal state). According to the current state of the power grid, the charging power control command is output, including suspending charging, reducing power, and maintaining the current power. The command is transmitted to the charging pile through the communication command to implement the charging power adjustment to ensure that the charging pile can operate safely within the carrying capacity of the power grid; By dynamically adjusting the charging power, the power grid can be effectively protected to avoid overload of the power grid due to excessive charging power and prevent power grid failure. Reasonable power regulation strategies ensure that the charging piles can operate safely under different power grid conditions and avoid damage or malfunction of the charging piles due to unstable power grid. The system intelligently adjusts the charging power according to the power grid status, can dynamically adapt to the needs of the power grid, and provide a more flexible charging management solution.

[0030] The working principle of the present invention is to intelligently adjust the charging power of the charging pile by real-time monitoring and analyzing the frequency and voltage fluctuations of the power grid to ensure the safe operation of the charging pile under different power grid conditions. The system obtains the power grid frequency and voltage data in real time through the data acquisition module, and calculates the power grid frequency fluctuation index and the power grid voltage fluctuation index respectively through the frequency and voltage data analysis module. These data are sent to the comprehensive analysis module to calculate the power grid abnormality index, and judge whether the power grid state is normal, generally abnormal or seriously abnormal based on the comparison between the index and the preset threshold. When the power grid state is seriously abnormal, the system issues an instruction to suspend charging and immediately stops charging to reduce the load on the power grid; when the power grid state is generally abnormal, the system adjusts the charging power and reduces the charging power to adapt to the carrying capacity of the power grid; when the power grid state is normal, the charging pile maintains the current power and continues to charge. The whole process transmits instructions through wireless or wired communication to ensure that the power regulation of the charging pile dynamically adapts to the changes in the power grid, avoids overload, failure or instability of the power grid, and improves the operation efficiency and reliability of the charging pile while ensuring the safety of the power grid.

[0031] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0032] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0033] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0034] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean 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 application.

[0035] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A processing system for power regulation of a charging pile, characterized in that: include: A data acquisition module, wherein the data acquisition module acquires the grid data of the grid where the charging pile is located within a monitoring cycle, including: grid frequency data and grid voltage data; wherein the grid frequency data is acquired in real time by a frequency sensor deployed on the grid side; and the grid voltage data is acquired in real time by a voltage sensor deployed on the grid side; A power grid frequency data analysis module, which processes the power grid frequency data of the power grid where the charging pile is located, analyzes the change of the power grid frequency data, and calculates the power grid frequency fluctuation index in combination with the kurtosis and skewness of the power grid frequency data; A grid voltage data analysis module, which processes grid voltage data of the grid where the charging pile is located, converts the grid voltage data from the time domain to the frequency domain through Fourier transform, and calculates the grid voltage fluctuation index based on the power spectrum density; A comprehensive analysis module, which comprehensively analyzes the grid frequency fluctuation index and the grid voltage fluctuation index, calculates the grid anomaly index of the grid where the charging pile is located, and evaluates the stability of the grid where the charging pile is located; The power dynamic adjustment module determines whether the charging power of the charging pile needs to be regulated according to the evaluation result, and dynamically adjusts the charging power of the charging pile according to the judgment result.

2. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The process of obtaining the power grid frequency fluctuation index is as follows: During the monitoring period, the grid frequency data of the grid where the charging pile is located is obtained, and all the collected grid frequency data are integrated into a grid frequency data group, which is recorded as a grid frequency group; the mean value of the grid frequency data in the grid frequency group is obtained. and standard deviation ; The mean value of the grid frequency data in the grid frequency group and standard deviation Processing is performed to calculate the kurtosis and skewness of the power grid frequency group; wherein the calculation expression of the kurtosis is: ; In the formula, represents the kurtosis of the power grid frequency group, i represents the number of power grid frequency data in the power grid frequency group, Indicates the maximum number of grid frequency data. represents the i-th grid frequency data, represents the mean value of the power grid frequency data, represents the standard deviation of the power grid frequency data; wherein, the calculation expression of the skewness is: ; In the formula, Represents the skewness of the power grid frequency group; the kurtosis and skewness of the power grid frequency group are processed to calculate the power grid frequency fluctuation index, and the calculation expression is: ; In the formula, represents the power grid frequency fluctuation index, e represents the logarithm of the natural number base, and is the preset scaling factor for i, and and are greater than 0, represents the skewness of the grid frequency group, Represents the kurtosis of the grid frequency group.

3. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The process of obtaining the grid voltage fluctuation index is as follows: During the monitoring period, the grid voltage data is obtained and sorted according to the time series; the grid voltage data is removed from the mean value to eliminate the DC component of the grid voltage and obtain a zero mean sequence. The calculation expression is: ; In the formula, represents the zero-mean grid voltage signal, Indicates The grid voltage data of the time collection point, Indicates Time collection point, Indicates the average value of the grid voltage data within the monitoring period, Represents the number of time acquisition points; discrete Fourier transform is performed on the zero-mean voltage signal to convert the time domain data into frequency domain data; the expression of Fourier transform is: ; In the formula, Indicates The Fourier coefficients of the frequency components, represents the number of frequency components, represents the imaginary unit, Indicates the total number of time acquisition points; calculates the power spectrum density of the grid voltage signal through the Fourier coefficient , the calculation expression is: ; In the formula, represents the power spectrum density of the grid voltage signal, is the square of the modulus of the Fourier coefficient, representing the energy of the grid voltage fluctuation, Represents the mth frequency; by analyzing the power spectrum density of the voltage signal, the cumulative value of the power spectrum in the entire frequency range is calculated to obtain the cumulative power spectrum, and the calculation expression is: ; In the formula, Represents the cumulative power spectrum; the power spectrum density and the cumulative power spectrum are used to calculate the grid voltage fluctuation index, and the calculation expression is: ; In the formula, represents the grid voltage fluctuation index, Represents the maximum cumulative power spectrum of the entire signal.

4. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The process of obtaining the power grid anomaly index is as follows: The grid frequency fluctuation index and grid voltage fluctuation index are normalized, and the grid anomaly index of the grid where the charging pile is located is calculated. The calculation expression is: ; In the formula, Indicates the power grid abnormality index, represents the power grid frequency fluctuation index, represents the grid voltage fluctuation index, and is the preset scale factor, and and Both are greater than 0.

5. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The evaluation of the stability of the power grid where the charging pile is located specifically includes: Compare the power grid abnormality index with the preset first threshold; if the power grid abnormality index is greater than or equal to the preset first threshold, it is recorded as a serious abnormal state; if the power grid abnormality index is less than the preset first threshold and greater than or equal to the preset second threshold, it is recorded as a general abnormal state; if the power grid abnormality index is less than the preset second threshold, it is recorded as a normal state.

6. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The step of judging whether the charging power of the charging pile needs to be adjusted according to the evaluation result specifically includes: Based on the judgment result, a charging power control command is output, and the charging power of the charging pile is adjusted according to the control command; based on a serious abnormal state, a command to suspend charging is output; based on a general abnormal state, a command to reduce the charging power is output; based on a normal state, a command to maintain the current charging power is output.

7. A processing system for power regulation of a charging pile according to claim 6, characterized in that: The charging power of the charging pile is adjusted according to the control command, including: Based on the serious abnormal state, the charging suspension command is output, and the charging pile will temporarily stop charging; Based on the general abnormal state, a command to reduce the charging power is output, and the charging power of the charging pile is adjusted to be reduced. The specific adjustment is made according to the carrying capacity of the power grid, including setting a power adjustment ratio threshold, multiplying the real-time power by the power adjustment ratio threshold, and obtaining the value of the power that needs to be adjusted; Based on the normal state, a command to maintain the current charging power is output, so the existing charging power of the charging pile is maintained and the work continues.

8. A processing system for power regulation of a charging pile according to claim 1, characterized in that: The power dynamic adjustment module at least includes: A power grid state determination unit, the power grid state determination unit is used to determine whether the state of the power grid is abnormal; A charging power command unit, which issues a charging power adjustment command according to a power grid state; An execution adjustment unit is used to execute the command of the charging power command unit.

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