Method and system for detecting power quality of power supply network and electronic equipment

Abstract

The invention relates to the technical field of electric energy quality detection, and discloses a method and system for detecting the electric energy quality of a power supply network, and electronic equipment, and the method comprises the steps: setting detection equipment for the power supply network; collecting electric energy data; performing first analysis to obtain an electric energy quality report; and carrying out second analysis to obtain an electric energy quality view. The system and the electronic equipment correspond to the method. According to the application, the detection device is arranged to provide a hardware basis for obtaining accurate data for detection, the electric energy data is obtained to provide a data basis for detection, data optimization of detection is realized by selecting representative data, algorithm optimization of detection is realized through first analysis, and the detection efficiency is improved. And the interpretability of the detection is improved through the electric energy quality report, a technical basis is provided for realizing the visualization of the electric energy data through the second analysis, a data basis is provided for the management of technicians, and the display optimization of the detection is realized. Finally, the power quality of the power supply network is optimally detected.

Description

Technical Field

[0001] The present application relates to the technical field of power quality detection, and specifically to a method, system and electronic equipment for detecting power quality of a power supply network. Background Art

[0002] In the power supply network in application, there is pollution to the power system caused by nonlinear loads such as large power grid operation, power equipment, transformers, distribution and transmission lines, and impact loads, which leads to the decline of power quality, and further increases the power cost for power users. Therefore, it is necessary to detect the power quality of the power supply network and analyze the possible entry points for optimizing the power quality.

[0003] In summary, the prior art urgently needs a technical solution for optimizing the detection of power quality of power supply networks. Summary of the invention

[0004] The purpose of the present application is to provide a method, system and electronic equipment for detecting the power quality of a power supply network, so as to solve the technical problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, this application discloses the following technical solutions:

[0006] In a first aspect, the present application discloses a method for detecting power quality of a power supply network, the method comprising:

[0007] S1: Set up detection equipment for the power supply network;

[0008] S2: running the detection equipment to collect power data;

[0009] S3: Perform a first analysis on the power data to obtain a power quality report;

[0010] S4: performing a second analysis on the electric energy data to obtain a power quality view;

[0011] Wherein: the electric energy data is used to characterize the power quality; the first analysis is used to analyze the difference between the electric energy data and the standard electric energy data in a preset standard electric energy database, so as to obtain the power quality report; the second analysis is used to count the electric energy data, so as to obtain the power quality view.

[0012] Preferably, the detection equipment includes an electric energy detection device and an electric energy monitoring device group;

[0013] The electric energy detection device and the electric energy monitoring device group are arranged at corresponding positions of the power supply network.

[0014] Preferably, the operation of the detection device specifically includes:

[0015] Setting a first data collection type, a first collection frequency and a first collection duration of the electric energy detection device and running the device;

[0016] Setting and running a second data collection type, a second collection frequency, and a second collection duration of the electric energy monitoring device group;

[0017] The electric energy data corresponds to the first collected data type and the second collected data type.

[0018] Preferably, the electric energy data at least includes current unbalance, voltage unbalance, nth harmonic and zero-sequence current.

[0019] Preferably, the first analysis includes unbalance analysis, harmonic analysis and zero-sequence current analysis;

[0020] The imbalance analysis specifically includes calculating an imbalance determination index corresponding to the electric energy data, wherein the imbalance determination index is used to determine the balance of the three-phase power supply;

[0021] The harmonic analysis is specifically to calculate the harmonic deviation corresponding to the electric energy data, and the harmonic deviation is used to characterize the harmonic pollution situation;

[0022] The zero-sequence current analysis specifically calculates the zero-sequence current deviation corresponding to the electric energy data, and the zero-sequence current deviation is used to characterize the state of the transformer.

[0023] Preferably, obtaining the power quality report specifically includes:

[0024] The power quality report is generated based on the imbalance determination index, the harmonic deviation and the zero-sequence current deviation by using natural language technology.

[0025] Preferably, the performing a second analysis on the electric energy data specifically includes:

[0026] The electric energy data is statistically analyzed using a preset statistical tool, and the obtained statistical results at least include the peak value, average value and change trend corresponding to each data type.

[0027] Preferably, obtaining the power quality view specifically includes:

[0028] The statistical results obtained by the second analysis are converted into the power quality view by using visualization technology.

[0029] In a second aspect, the present application discloses a system for detecting the power quality of a power supply network, the system is applicable to the method for detecting the power quality of a power supply network as described above, and the system comprises:

[0030] A detection device setting module, wherein the detection device setting module is configured to: set detection devices for the power supply network;

[0031] An electric energy data acquisition module, wherein the electric energy data acquisition module is configured to: operate the detection device to collect electric energy data;

[0032] A first analysis module, wherein the first analysis module is configured to: perform a first analysis on the power data to obtain a power quality report;

[0033] A second analysis module, wherein the second analysis module is configured to: perform a second analysis on the power data to obtain a power quality view;

[0034] Wherein: the electric energy data is used to characterize the power quality; the first analysis is used to analyze the difference between the electric energy data and the standard electric energy data in a preset standard electric energy database, so as to obtain the power quality report; the second analysis is used to count the electric energy data, so as to obtain the power quality view.

[0035] In a third aspect, the present application discloses an electronic device, comprising: at least one processor and at least one memory, wherein the memory is communicatively connected to the processor; the memory stores a computer program that can be executed by the processor, and when the computer program is executed by the processor, the method for detecting the power quality of the power supply network as described above is implemented.

[0036] Beneficial effects: The method, system and electronic device for detecting the power quality of the power supply network of the present application provide a hardware basis for obtaining accurate data for detection by setting up detection equipment, provide a data basis for detection by obtaining power data, and optimize the detection data by selecting representative data, optimize the detection algorithm through a first analysis, and improve the interpretability of the detection through a power quality report, provide a technical basis for visualizing the power data through a second analysis, and provide a data basis for technical personnel to manage, thereby optimizing the display of detection and optimizing the detection of the power quality of the power supply network. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A flowchart of a method for detecting power quality of a power supply network provided in an embodiment of the present application;

[0039] Figure 2 A structural block diagram of a system for detecting the power quality of a power supply network provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0041] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0042] In a first aspect, this embodiment discloses Figure 1 A method for detecting the power quality of a power supply network is shown, the method comprising:

[0043] S1: Set up detection equipment for the power supply network;

[0044] S2: Run the detection equipment and collect power data;

[0045] S3: Perform a first analysis on the power data to obtain a power quality report;

[0046] S4: Perform a second analysis on the power data to obtain a power quality view.

[0047] Among them: the electric energy data is used to characterize the electric energy quality; the first analysis is used to analyze the difference between the electric energy data and the standard electric energy data in the preset standard electric energy database, which is set up using existing database technology and stores standard electric energy data known to technical personnel in this field, thereby obtaining a power quality report; the second analysis is used to count the electric energy data, thereby obtaining a power quality view.

[0048] Specifically, the detection equipment includes an electric energy detection device and an electric energy monitoring device group. This embodiment uses the existing electric energy detection device to achieve short-term high-frequency detection of the power supply network, and uses the existing electric energy monitoring device group to achieve long-term low-frequency monitoring of the power supply network, thereby achieving comprehensive detection of the power supply network.

[0049] The power detection device and the power monitoring device group are arranged at corresponding positions of the power supply network. In this embodiment, preferably, the power detection device is nested in the copper bar of the incoming cabinet of the power supply network, and the power monitoring device group is nested in the side of the transformer S1 of the incoming cabinet.

[0050] Based on the above, this embodiment realizes comprehensive detection of the power supply network through the power detection equipment and the power monitoring equipment group, providing a hardware foundation for obtaining accurate power data.

[0051] Specifically, the operation of the testing equipment includes:

[0052] The first data collection type, the first collection frequency and the first collection duration of the electric energy detection device are set and run; in this embodiment, preferably, the first collection frequency is 1 minute / time, and the first collection duration is 24 hours;

[0053] The second data collection type, the second collection frequency and the second collection duration of the electric energy monitoring equipment group are set and run; in this embodiment, preferably, the second collection frequency is 5 minutes / time, and the second collection duration is 5 to 7 days.

[0054] The electric energy data corresponds to the first collected data type and the second collected data type.

[0055] Based on the above, this embodiment collects power data from the detection equipment, and the obtained power data is comprehensive and relevant, thus overcoming the current situation of single and isolated data in traditional power quality detection.

[0056] Specifically, the electric energy data at least includes current unbalance, voltage unbalance, nth harmonic and zero-sequence current.

[0057] It should be noted that the current unbalance, voltage unbalance, nth harmonic and zero-sequence current selected in this embodiment are representative electric energy data. Analysis of the above data can best understand the power quality situation, but it can be understood that the data collected by the detection equipment is far more than the above four items. For example, there may also be electric energy data known to those skilled in the art, such as the maximum load and average load used to measure the starting current.

[0058] Based on the above, this embodiment selects representative electric energy data, without affecting the power quality detection effect, to provide necessary technical means to reduce the amount of calculation in the power quality detection process, provide a data basis for detection, and achieve data optimization for detection.

[0059] Specifically, the first analysis includes an unbalance analysis for analyzing the balance degree of the three-phase power supply, a harmonic analysis for analyzing the harmonic pollution degree, and a zero-sequence current analysis for analyzing the transformer status.

[0060] The imbalance analysis is specifically to calculate the imbalance judgment index corresponding to the electric energy data, and the imbalance judgment index is used to determine the balance of the three-phase power supply. In this embodiment, the calculation of the imbalance judgment index uses the imbalance judgment index formula, which is specifically:

[0061]

[0062] Among them, UDDI is the imbalance judgment index, if sgn(α x )=1 means that when sgn(α x )=1 is established when UDDI=1, else it means when sgn(α x )=1 is not true, UDDI=0, sgn(α x ) is the general formula of the sign function for imbalance analysis:

[0063] α x =UD x -UD x_τ (x=[I,U])

[0064]

[0065] Among them, α x is the general formula for unbalance analysis, UD is the unbalance, x is a variable symbol, x=I represents the data corresponding to the current, x=U represents the data corresponding to the voltage, x_τ represents the analysis threshold corresponding to x, i.e., the current threshold and the voltage threshold, and both the current threshold and the voltage threshold are derived from the standard electric energy database mentioned above, ifα x ≤0 means when α x ≤0 when sgn(α x )=1, else means Dangdang α x ≤0 does not hold true when sgn(α x )=0. Therefore, in this embodiment, when any imbalance corresponding to current or voltage occurs, UDDI=1, and this indicator indicates that the power quality can be optimized from the perspective of three-phase current balance, thereby optimizing the user's electricity cost.

[0066] The harmonic analysis is specifically to calculate the harmonic deviation corresponding to the electric energy data, and the harmonic deviation is used to characterize the harmonic pollution. In this embodiment, the calculation of the harmonic deviation uses the harmonic deviation formula, which is specifically:

[0067]

[0068] Among them, HD is the harmonic deviation, N_n represents the statistical number corresponding to the nth harmonic, ∑sgn(β) represents the sum of the values ​​of sgn(β), and sgn(β) is the sign function of harmonic analysis:

[0069] β=H n -H n_τ

[0070]

[0071] Where β is the deviation of the nth harmonic, H n is the nth harmonic, H n_τ is the threshold corresponding to the nth harmonic, and the threshold is derived from the standard power database mentioned above. Ifβ>0 means that when β>0 is established, sgn(β)=1, else means that when β>0 is not established, sgn(β)=0. In this regard, the value of HD and the standard power database mentioned above can be used to autonomously determine whether the power quality can be optimized from the perspective of harmonic pollution, thereby optimizing the user's electricity cost. This autonomous judgment is one of the existing data processing technologies, which aims to determine the harmonic deviation abnormality based on the corresponding threshold in the standard power database.

[0072] The zero-sequence current analysis is specifically to calculate the zero-sequence current deviation corresponding to the electric energy data, and the zero-sequence current deviation is used to characterize the state of the transformer. In this embodiment, the calculation of the zero-sequence current deviation uses the zero-sequence current deviation formula, which is specifically:

[0073]

[0074] Among them, ZSCD is the zero-sequence current deviation, ZSC is the zero-sequence current, and ZSC τ is the corresponding zero-sequence current threshold value and the threshold value is derived from the standard power database mentioned above. In this regard, the value of ZSCD and the standard power database mentioned above can be used to autonomously determine whether the power quality can be optimized from the perspective of the transformer state, thereby optimizing the user's electricity cost. This autonomous judgment is one of the existing data processing technologies, which aims to determine the zero-sequence current deviation abnormality based on the corresponding threshold value in the standard power database.

[0075] Based on the above, this embodiment realizes the optimization of the detection algorithm through the first analysis.

[0076] Specifically, the obtaining of the power quality report specifically includes: using existing natural language technology to generate a power quality report based on an imbalance determination index, a harmonic deviation, and a zero-sequence current deviation.

[0077] For example, when UDDI=1, it can generate "abnormal imbalance, three-phase balance optimization can be performed", when the HD value is judged to be abnormal, it can generate "serious harmonic pollution, harmonic optimization can be performed", and when the ZSCD value is abnormal, it can generate "large zero-sequence current, harmonic optimization can be performed".

[0078] Based on the above, this embodiment improves the interpretability of detection through power quality reports. Furthermore, this embodiment can provide users with a preset detection equipment installation guide to guide users to independently install the detection equipment, thereby enabling users to perform self-inspection of power quality, thereby determining whether it is necessary to optimize electricity costs. This usage method further improves the applicability of this embodiment.

[0079] Specifically, the second analysis of the electric energy data includes:

[0080] The electric energy data is statistically analyzed using the preset existing statistical tools, and the obtained statistical results include at least the peak value, average value and change trend corresponding to each data type. It should be noted that the statistical results in this embodiment correspond to the standard electric energy database mentioned above, and the technicians can analyze the statistical results by querying the standard electric energy database.

[0081] Based on the above, the second analysis provides a technical basis for realizing the visualization of electric energy data and a data basis for technical personnel to manage.

[0082] Specifically, the obtaining of the power quality view specifically includes:

[0083] The statistical results obtained from the second analysis are transformed into a power quality view using existing visualization techniques.

[0084] Through the above, the display optimization of detection is achieved through the power quality view. The user's own technical personnel can intuitively grasp the user's power usage status through the power quality view, so as to give full play to their professionalism and avoid excessive repetitive data collection, thereby further improving the applicability of this embodiment.

[0085] In a second aspect, this embodiment discloses Figure 2 A system for detecting the power quality of a power supply network is shown, and the system is applicable to the method for detecting the power quality of a power supply network as described above, and the system comprises:

[0086] A detection equipment setting module, the detection equipment setting module is configured to: set detection equipment for the power supply network;

[0087] The electric energy data acquisition module is configured to: operate the detection equipment and collect the electric energy data;

[0088] A first analysis module, the first analysis module is configured to: perform a first analysis on the power data to obtain a power quality report;

[0089] A second analysis module, the second analysis module is configured to: perform a second analysis on the power data to obtain a power quality view;

[0090] Among them: the power data is used to characterize the power quality; the first analysis is used to analyze the difference between the power data and the standard power data in the preset standard power database, so as to obtain a power quality report; the second analysis is used to count the power data, so as to obtain a power quality view.

[0091] It should be noted that the system for detecting the power quality of the power supply network of this embodiment corresponds to the method for detecting the power quality of the power supply network mentioned above. Therefore, the content of the system for detecting the power quality of the power supply network of this embodiment that is not specifically described may have, but is not limited to, the same functional definition, working principle and technical effect as the method for detecting the power quality of the power supply network mentioned above, and this text will not elaborate on it here.

[0092] In a third aspect, this embodiment discloses an electronic device, comprising: at least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program that can be executed by the processor, and when the computer program is executed by the processor, the method for detecting the power quality of the power supply network as described above is implemented.

[0093] In summary, the method, system and electronic device for detecting the power quality of the power supply network of the present embodiment provide a data basis for detection by acquiring power data, and optimize the detection data by selecting representative data, optimize the detection algorithm through a first analysis, and improve the interpretability of the detection through a power quality report, provide a technical basis for the visualization of power data through a second analysis, and provide a data basis for technical personnel to manage, thereby optimizing the display of detection and optimizing the detection of the power quality of the power supply network.

[0094] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0095] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for detecting the power quality of a power supply network, characterized in that: The method includes: S1: Set up detection equipment for the power supply network; S2: running the detection equipment to collect power data; S3: Perform a first analysis on the power data to obtain a power quality report; S4: performing a second analysis on the electric energy data to obtain a power quality view; Wherein: the electric energy data is used to characterize the power quality; the first analysis is used to analyze the difference between the electric energy data and the standard electric energy data in a preset standard electric energy database, so as to obtain the power quality report; the second analysis is used to count the electric energy data, so as to obtain the power quality view.

2. The method for detecting the power quality of a power supply network according to claim 1, characterized in that: The detection equipment includes an electric energy detection device and an electric energy monitoring device group; The electric energy detection device and the electric energy monitoring device group are arranged at corresponding positions of the power supply network.

3. The method for detecting the power quality of a power supply network according to claim 2, characterized in that: The operation of the detection device specifically includes: Setting a first data collection type, a first collection frequency and a first collection duration of the electric energy detection device and running the device; Setting and running a second data collection type, a second collection frequency, and a second collection duration of the electric energy monitoring device group; The electric energy data corresponds to the first collected data type and the second collected data type.

4. The method for detecting the power quality of a power supply network according to claim 1, characterized in that: The electric energy data at least includes current unbalance, voltage unbalance, nth harmonic and zero-sequence current.

5. The method for detecting the power quality of a power supply network according to claim 4, characterized in that: The first analysis includes unbalance analysis, harmonic analysis and zero-sequence current analysis; The imbalance analysis specifically includes calculating an imbalance determination index corresponding to the electric energy data, wherein the imbalance determination index is used to determine the balance of the three-phase power supply; The harmonic analysis is specifically to calculate the harmonic deviation corresponding to the electric energy data, and the harmonic deviation is used to characterize the harmonic pollution situation; The zero-sequence current analysis specifically calculates the zero-sequence current deviation corresponding to the electric energy data, and the zero-sequence current deviation is used to characterize the state of the transformer.

6. The method for detecting the power quality of a power supply network according to claim 5, characterized in that: The power quality report obtained specifically includes: The power quality report is generated based on the imbalance determination index, the harmonic deviation and the zero-sequence current deviation by using natural language technology.

7. The method for detecting the power quality of a power supply network according to claim 3, characterized in that: The performing a second analysis on the electric energy data specifically includes: The electric energy data is statistically analyzed using a preset statistical tool, and the obtained statistical results at least include the peak value, average value and change trend corresponding to each data type.

8. The method for detecting the power quality of a power supply network according to claim 7, characterized in that: The obtaining of the power quality view specifically includes: The statistical results obtained by the second analysis are converted into the power quality view by using visualization technology.

9. A system for detecting the power quality of a power supply network, the system being applicable to the method for detecting the power quality of a power supply network as claimed in any one of claims 1 to 8, characterized in that: The system includes: A detection device setting module, wherein the detection device setting module is configured to: set detection devices for the power supply network; An electric energy data acquisition module, wherein the electric energy data acquisition module is configured to: operate the detection device to collect electric energy data; A first analysis module, wherein the first analysis module is configured to: perform a first analysis on the power data to obtain a power quality report; A second analysis module, wherein the second analysis module is configured to: perform a second analysis on the power data to obtain a power quality view; Wherein: the electric energy data is used to characterize the power quality; the first analysis is used to analyze the difference between the electric energy data and the standard electric energy data in a preset standard electric energy database, so as to obtain the power quality report; the second analysis is used to count the electric energy data, so as to obtain the power quality view.

10. An electronic device, characterized in that: include: At least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program executable by the processor, and when the computer program is executed by the processor, implementing the method for detecting the power quality of a power supply network as described in any one of claims 1 to 8.

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