Indoor battery car charging monitoring method and system based on ''meter box + user'' double-source identification, and storage medium

Abstract

The invention discloses an indoor battery car charging monitoring method and system based on ''meter box + user'' double-source identification, and a storage medium, and belongs to the technical field of power consumption management, and the monitoring method comprises the steps: respectively obtaining the power frequency waveform of the current and power of a meter box side and the power data of a user side; acquiring a switch transient characteristic, a steady state characteristic and a power characteristic of the power frequency waveform; according to the switch transient state characteristic, the steady state characteristic and the power characteristic, battery car charging load identification under the meter box is carried out; power matching is performed on the power data of the user side and the charging load of the battery car according to power step consistency, the charging load is positioned to the home, the charging behavior is positioned to the home by applying a double-source load identification algorithm, and compared with other monitoring methods, the method is more comprehensive in coverage range, higher in identification accuracy and higher in practicability. Electric bicycle indoor charging monitoring can be synchronously achieved, a current electric energy meter of a user does not need to be replaced, investment cost is low, and full-coverage popularization and implementation are easy.

Description

Technical Field

[0001] The present invention belongs to the technical field of electricity management, and in particular relates to an indoor battery vehicle charging monitoring method, system and storage medium based on "meter box + user" dual-source identification. Background Art

[0002] It is common to see illegal charging behaviors such as pushing electric vehicles into homes, illegally pulling wires, and illegally modifying batteries. Studies have shown that most fires caused by electric vehicles occur when the electric vehicles are charging, and fires that cause casualties basically occur in residents' homes and corridors. Fires caused by electric vehicles charging at home seriously threaten people's lives and property safety, so it is imperative to ban electric vehicles from charging at home.

[0003] At present, the prevention method for charging electric vehicles at home is basically to rely on security personnel inspections, which requires a lot of manpower and is inefficient and cannot be completely prevented. Other electric vehicle charging detection methods also have problems such as high cost and incomplete coverage. Therefore, more accurate and efficient methods are needed to detect the behavior of charging electric vehicles at home. Summary of the invention

[0004] The present invention provides an indoor electric battery vehicle charging monitoring method, system and storage medium based on "meter box + user" dual-source identification, which comprehensively utilizes the transient characteristics and steady-state characteristics of load access events to achieve accurate identification of the charging load on the meter box side, and uses power step consistency to perform power matching on the user side to achieve charging load positioning at the household, thereby achieving accurate and efficient detection of indoor electric battery vehicle charging events.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides an indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification, comprising:

[0007] Obtain the power frequency waveforms of the current and power on the meter box side and the power data on the user side respectively;

[0008] Obtaining switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform;

[0009] Identify the charging load of the battery vehicle under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch;

[0010] Power matching is performed on the power data on the user side and the battery vehicle charging load according to the power step consistency, and the charging load is positioned at the household.

[0011] Optionally, respectively obtaining the industrial frequency waveforms of current and power on the meter box side and the power data on the user side includes: obtaining m-point waveform curves within a plurality of current industrial frequency waveforms on the meter box incoming line side, and obtaining minute-level power curve data on the user incoming line side.

[0012] Optionally, the acquiring of the switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform includes:

[0013] Obtaining the switching transient current pulse amplitude and transient transition time according to the current power frequency waveform;

[0014] Obtaining current crest factor and harmonic characteristics according to the current power frequency waveform;

[0015] The ratio of the maximum instantaneous power to the average power is obtained according to the power frequency waveform.

[0016] Optionally, obtaining the current crest factor according to the current power frequency waveform includes:

[0017] The current crest factor is obtained based on the maximum current amplitude and the current root mean square of the steady-state current power frequency waveform. The calculation formula is as follows:

[0018]

[0019] in, It is the current value at the sampling point of the current industrial frequency waveform.

[0020] Optionally, obtaining harmonic characteristics according to the current power frequency waveform includes:

[0021] The collected current time domain signal is converted into Convert to spectrum signal in frequency domain , to extract the harmonic components, the spectrum signal in the frequency domain The expression is as follows:

[0022]

[0023] in, is the DC component, is the fundamental angular frequency, is the initial phase angle of the kth harmonic component, is the kth harmonic current amplitude, ;

[0024] Single harmonic content The calculation formula is as follows:

[0025]

[0026] in, is the kth harmonic current amplitude, is the fundamental current amplitude;

[0027] Total harmonic distortion The calculation formula is as follows:

[0028]

[0029] Where H is the limit of harmonic order, are all harmonic components of current.

[0030] Optionally, obtaining the ratio of maximum instantaneous power to average power according to the power frequency waveform includes:

[0031] The calculation formula of the maximum instantaneous power is as follows:

[0032]

[0033] in, is the maximum instantaneous power, It is the power data of the meter box side;

[0034] The calculation formula of the average power is as follows:

[0035]

[0036] in, is the average power;

[0037] The calculation formula of the ratio is as follows:

[0038]

[0039] in, It is the ratio of maximum instantaneous power to average power.

[0040] Optionally, the identification of the charging load of the battery vehicle under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch includes:

[0041] Monitor the transient current power frequency waveform amplitude , there will be a surge current The moment of the transient current pulse amplitude of the charging load is taken as the moment of occurrence, until the current amplitude becomes The process between moments is called transient transition phase ,like , meeting the transient characteristics of battery vehicle charging load switch;

[0042] And / or, if the current crest factor , third harmonic content , fifth harmonic content , Total Harmonic Distortion , meeting the steady-state characteristics of battery vehicle charging load;

[0043] And / or, if the ratio enters the steady state process within n seconds The average value is greater than 5, which meets the power characteristics of the battery vehicle charging load.

[0044] Optionally, power matching is performed on the power data of the user side and the battery vehicle charging load according to the power step consistency to locate the charging load to the household, including:

[0045] Calculate the power change on the meter box side:

[0046]

[0047] in, is the power value 1.5s after the transient current pulse amplitude of the charging load occurs, and P is the power value of the sampling point before the transient current pulse amplitude of the charging load occurs;

[0048] Calculate the power change per minute within two minutes before and after the transient current pulse amplitude of each user-side charging load occurs , and take the maximum value among them ;

[0049] Change the maximum power on the user side Power changes on the meter box side For comparison, if a user and The difference between them is no more than 0.01, and the battery vehicle charging load is located at the user.

[0050] In a second aspect, the present invention provides an indoor battery vehicle charging monitoring system based on "meter box + user" dual-source identification, comprising:

[0051] Dual-source data acquisition module: used to obtain the power frequency waveform of current and power on the meter box side and the power data on the user side respectively;

[0052] The current and power characteristics acquisition module on the meter box side is used to obtain the switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform;

[0053] Battery vehicle charging load identification module: used to identify the battery vehicle charging load under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch;

[0054] Battery vehicle charging load positioning module: used to perform power matching on the user side power data and the battery vehicle charging load according to the power step consistency, and locate the charging load to the household.

[0055] In a third aspect, the present invention provides a computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the indoor electric battery vehicle charging monitoring method based on "meter box + user" dual-source identification as described in any step of the first aspect.

[0056] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention introduces the electrical transient characteristics on the meter box side, analyzes the transient characteristics of the switch when the battery vehicle charging load is connected, and comprehensively utilizes the transient characteristics and steady-state characteristics to realize the accurate identification of the battery vehicle charging load under the meter box, and utilizes the power step consistency to perform power matching on the user side, so as to realize the positioning of the charging load to the household, thereby realizing the accurate monitoring of indoor battery vehicle charging. Compared with other monitoring methods, the present invention has a more comprehensive coverage and a higher recognition accuracy; by applying the dual-source load identification algorithm, the charging behavior is positioned to the household. With the promotion and deployment of "whole box metering" by the State Grid headquarters, the indoor charging monitoring of electric bicycles is realized simultaneously, without the need to replace the user's current electricity meter, the investment cost is low, and it is easy to promote and implement with full coverage. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 Shown is a flow chart of an indoor battery vehicle charging monitoring method in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0059] Example 1

[0060] This embodiment provides an indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification, including:

[0061] Obtain the power frequency waveforms of the current and power on the meter box side and the power data on the user side respectively;

[0062] Obtaining switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform;

[0063] Identify the charging load of the battery vehicle under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch;

[0064] Power matching is performed on the power data on the user side and the battery vehicle charging load according to the power step consistency, and the charging load is positioned at the household.

[0065] Usually, there are dozens of users under one meter box, and load access events occur frequently. The time interval between several load access events may be very short, causing multiple steady-state features to overlap. The duration of the transient process is much shorter than that of the steady-state process, and the overlapping phenomenon of transient features is also greatly reduced. Based on this, this embodiment combines transient features with steady-state features to accurately identify the indoor battery vehicle charging load under the meter box, and then locates the user through power matching, thereby realizing efficient and accurate indoor battery vehicle charging monitoring and greatly improving electricity safety.

[0066] Example 2

[0067] On the basis of Example 1, this example further makes the following design, dividing the indoor battery vehicle charging monitoring method into the following specific steps.

[0068] S1. On the incoming line side of the meter box, obtain several 128-point waveform curves within the power frequency waveform (20ms) of current and power, and obtain 1min level power curve data at the user incoming line.

[0069] S2. Obtain the current power characteristics of the industrial frequency waveform.

[0070] S21, monitor the current power frequency waveform amplitude If a surge current occurs , taking this moment as the moment when the transient current pulse amplitude of the charging load occurs, until the current amplitude becomes The time spent in this process is recorded as the transient transition time .

[0071] S22. After the transient process ends, the charging load enters stable operation and calculates the crest factor of the current power frequency waveform. :

[0072] ,

[0073] in, is the current value at the sampling point.

[0074] S23, through Fourier transform, the collected current time domain signal, that is, the function corresponding to the current power frequency waveform curve Convert to spectrum signal in frequency domain , thereby extracting the harmonic components:

[0075] ,

[0076] in, is the DC component, is the fundamental angular frequency, is the initial phase angle of the kth harmonic component, is the kth harmonic current amplitude, .

[0077] Calculate the third and fifth current harmonic content:

[0078] ,

[0079] ,

[0080] in, is the third current harmonic content, is the fifth current harmonic content.

[0081] Calculate the total harmonic distortion:

[0082] ,

[0083] in, is the total harmonic distortion.

[0084] S24. Calculate the maximum instantaneous power of the current power frequency waveform:

[0085] ,

[0086] in, is the maximum instantaneous power;

[0087] And calculate the average power of the current power frequency waveform:

[0088] ,

[0089] in, is the average power.

[0090] S3. Use the switching transient characteristics, steady-state current waveform and power characteristics of the battery vehicle charging load to determine whether there is indoor battery vehicle charging under the meter box.

[0091] Determine whether it is satisfied , if satisfied, it complies with the transient characteristics of battery vehicle charging load;

[0092] Calculate separately , , as well as Average value within 5 seconds, and judge whether it meets , , , , if satisfied, it complies with the steady-state characteristics of battery vehicle charging load;

[0093] calculate The average value within 5 seconds is used to determine whether it meets the requirements. 5. If it is satisfied, it meets the power characteristics of the battery vehicle charging load;

[0094] If all of the above conditions are met at the same time, it is confirmed that there is indoor battery charging under the meter box.

[0095] S4. After confirming that there is indoor battery charging under the meter box, locate the user.

[0096] Calculate the power change on the meter box side:

[0097] ,

[0098] in, is the power value 1.5s after the transient current pulse amplitude of the charging load occurs, and P is the power value of the data point before the transient current pulse amplitude of the charging load occurs;

[0099] Calculate the power change per minute within two minutes before and after the transient current pulse amplitude of each user-side charging load occurs , and take the maximum value among them ;

[0100] Find out and Users whose difference is within 0.01 are electric vehicle home charging users.

[0101] Example 3

[0102] This embodiment provides an indoor battery vehicle charging monitoring system based on "meter box + user" dual-source identification, including:

[0103] Dual-source data acquisition module: used to obtain the power frequency waveform of current and power on the meter box side and the power data on the user side respectively;

[0104] The current and power characteristics acquisition module on the meter box side is used to obtain the switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform;

[0105] Battery vehicle charging load identification module: used to identify the battery vehicle charging load under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch;

[0106] Battery vehicle charging load positioning module: used to perform power matching on the user side power data and the battery vehicle charging load according to the power step consistency, and locate the charging load to the household.

[0107] Example 4

[0108] This embodiment provides a computer storage medium on which a computer program is stored. When the computer program is executed by a processor, the indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification as described in any step of Example 2 is implemented.

[0109] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0110] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0113] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A method for monitoring indoor battery vehicle charging based on "meter box + user" dual-source identification, characterized in that: include: Obtain the power frequency waveforms of the current and power on the meter box side and the power data on the user side respectively; Obtaining switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform; Identify the charging load of the battery vehicle under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch; Power matching is performed on the power data on the user side and the battery vehicle charging load according to the power step consistency, and the charging load is positioned at the household.

2. The indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification according to claim 1 is characterized in that: The method of separately obtaining the power frequency waveform of the current and power on the meter box side and the power data on the user side includes: obtaining m-point waveform curves in a plurality of current power frequency waveforms on the meter box incoming line side, and obtaining minute-level power curve data on the user incoming line side.

3. The indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification according to claim 1 is characterized in that: The step of obtaining the switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform includes: Obtaining the switching transient current pulse amplitude and transient transition time according to the current power frequency waveform; Obtaining current crest factor and harmonic characteristics according to the current power frequency waveform; The ratio of the maximum instantaneous power to the average power is obtained according to the power frequency waveform.

4. The indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification according to claim 3 is characterized in that: The step of obtaining a current crest factor according to the current power frequency waveform includes: The current crest factor is obtained based on the maximum current amplitude and the current root mean square of the steady-state current power frequency waveform. The calculation formula is as follows: ， in, It is the current value at the sampling point of the current industrial frequency waveform.

5. The indoor battery vehicle charging monitoring method based on "meter box + user" dual source identification according to claim 3 is characterized in that: The obtaining of harmonic characteristics according to the current power frequency waveform includes: The collected current time domain signal is converted into Convert to spectrum signal in frequency domain , to extract the harmonic components, the spectrum signal in the frequency domain The expression is as follows: ， in, is the DC component, is the fundamental angular frequency, is the initial phase angle of the kth harmonic component, is the kth harmonic current amplitude, ; Single harmonic content The calculation formula is as follows: ， in, is the kth harmonic current amplitude, is the fundamental current amplitude; Total harmonic distortion The calculation formula is as follows: ， Where H is the limit of harmonic order, are all harmonic components of current.

6. The indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification according to claim 3 is characterized in that: The step of obtaining the ratio of maximum instantaneous power to average power according to the power frequency waveform includes: The calculation formula of the maximum instantaneous power is as follows: ， in, is the maximum instantaneous power, It is the power data of the meter box side; The calculation formula of the average power is as follows: ， in, is the average power; The calculation formula of the ratio is as follows: ， in, It is the ratio of maximum instantaneous power to average power.

7. The indoor battery vehicle charging monitoring method based on "meter box + user" dual source identification according to claim 6 is characterized in that: The method of identifying the charging load of the battery vehicle under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch includes: Monitor the transient current power frequency waveform amplitude , there will be a surge current The moment of the transient current pulse amplitude of the charging load is taken as the moment of occurrence, until the current amplitude becomes The process between moments is called transient transition phase ,like , meeting the transient characteristics of battery vehicle charging load switch; And / or, if the current crest factor , third harmonic content , fifth harmonic content , Total Harmonic Distortion , meeting the steady-state characteristics of battery vehicle charging load; And / or, if the ratio enters the steady state process within n seconds The average value is greater than 5, which meets the power characteristics of the battery vehicle charging load.

8. The indoor battery vehicle charging monitoring method based on "meter box + user" dual source identification according to claim 7 is characterized in that: The power data of the user side and the battery vehicle charging load are power matched according to the power step consistency to locate the charging load to the household, including: Calculate the power change on the meter box side: ， in, is the power value 1.5s after the transient current pulse amplitude of the charging load occurs, and P is the power value of the sampling point before the transient current pulse amplitude of the charging load occurs; Calculate the power change per minute within two minutes before and after the transient current pulse amplitude of each user-side charging load occurs , and take the maximum value among them ; Change the maximum power on the user side Power changes on the meter box side For comparison, if a user and The difference between them is no more than 0.01, and the battery vehicle charging load is located at the user.

9. An indoor battery vehicle charging monitoring system based on "meter box + user" dual source identification, characterized in that: include: Dual-source data acquisition module: used to obtain the power frequency waveform of current and power on the meter box side and the power data on the user side respectively; The current and power characteristics acquisition module on the meter box side is used to obtain the switching transient characteristics, steady-state characteristics and power characteristics of the power frequency waveform; Battery vehicle charging load identification module: used to identify the battery vehicle charging load under the meter box according to the transient characteristics, steady-state characteristics and power characteristics of the switch; Battery vehicle charging load positioning module: used to perform power matching on the user side power data and the battery vehicle charging load according to the power step consistency, and locate the charging load to the household.

10. A computer storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the indoor battery vehicle charging monitoring method based on "meter box + user" dual-source identification as described in any one of claims 1 to 8 is implemented.

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