Analysis method and system for severe overload of 10kV line caused by charging pile access

Abstract

The present application discloses a method and system for analyzing the heavy overload of 10kV lines caused by charging pile access, including: obtaining the power consumption data of the charging pile, the operation data of the line and the metering bottom data of the charging pile; correlating and matching the power consumption data and the operation data to obtain the first integrated data, and filtering out the heavy and overloaded lines from the first integrated data according to the annual maximum load rate; correlating and matching the line heavy and overload list and the metering bottom data to obtain the second integrated data; taking the annual maximum current time as the key field and the hour as the granularity to extract the annual maximum current moment of each line from the second integrated data, and calculating the hourly total electricity of the corresponding charging pile of each line; analyzing whether the charging pile access and charging at the same time cause the heavy overload of the line through the hourly total electricity, and obtaining the line list of the charging pile access and charging at the same time cause the heavy overload of the line. The problem of poor accuracy and low efficiency of the existing technology in analyzing heavy overload of the line is solved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to an analysis method and system for a 10kV line heavy overload caused by charging pile access. Background Art

[0002] With the continuous increase in the marketization and market share of new energy vehicles, the supporting charging piles and charging stations are flooding into the equipment of the entire power grid. Since the electricity prices of charging piles and charging stations are charged according to large industrial electricity prices, there are certain load characteristics and synchronous rate influences, which will cause the power grid equipment to be heavily overloaded when the charging piles (stations) are used at the same time.

[0003] The existing analysis method for the heavy overload of 10kV distribution network lines is still considered to be caused by load growth. The heavy overload of 10kV lines caused by the simultaneous charging of charging stations and charging piles is not identified and analyzed, resulting in poor accuracy in the analysis of heavy overload of 10kV lines. In addition, there are certain drawbacks to the safety, stability and economy of the power grid simply by increasing the current carrying capacity of 10kV lines or distributing the load. Summary of the invention

[0004] The present application provides a method and system for analyzing a severe overload of a 10kV line caused by access to a charging pile, which is used to solve the technical problem that the prior art has poor accuracy and low efficiency in analyzing severe overload of a 10kV line.

[0005] In view of this, the first aspect of the present application provides a method for analyzing a severe overload of a 10kV line caused by access to a charging pile, the method comprising:

[0006] S1. Obtain the electricity consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the underlying metering data of the charging pile metering point;

[0007] S2. Correlate and match the power consumption data and the operation data to obtain first integrated data, and filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded 10kV lines;

[0008] S3, performing correlation matching on the 10kV line heavy overload list and the metering underlying data to obtain second integrated data;

[0009] S4, extracting the annual maximum current time of each 10kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculating the hourly total power of the corresponding charging pile of each 10kV line based on each of the highest current moments;

[0010] S5. Analyze whether the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles through the total hourly electricity consumption, and obtain a list of lines where the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles.

[0011] Optionally, after step S5, the method further includes:

[0012] Generate the 10kV line heavy overload list and the line list report in units of city or district; and generate the annual maximum current moment of each 10kV line and the corresponding hourly total electricity curve chart.

[0013] Optionally, after step S4, the method further includes:

[0014] When the 10kV line is analyzed by the second integrated data or the annual maximum current moment, it is determined that the 10kV line is distributed photovoltaic, causing the equipment to be heavy loaded or overloaded, and the 10kV line is defined as distributed photovoltaic, causing the equipment to be heavy loaded or overloaded.

[0015] Optionally, the filtering out of heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a 10 kV line heavy-overload list specifically includes:

[0016] After excluding the data with an annual maximum load rate exceeding 140% or a negative annual maximum load rate in the first integrated data, the annual maximum load rate in the first integrated data exceeding 80% but less than 100% and lasting for more than 1 hour is defined as 10kV line heavy load, and the annual maximum load rate being above 100% and lasting for more than 1 hour is defined as overload, thereby obtaining the 10kV line heavy and overload list.

[0017] Optionally, the analyzing whether the 10kV line is severely overloaded due to the simultaneous charging of the charging piles by the hourly total power consumption, and obtaining a line list of the 10kV line severely overloaded due to the simultaneous charging of the charging piles, specifically includes:

[0018] Calculate the converted current of the total hourly electricity of the charging pile. When the converted current of the charging pile accounts for more than 80% of the annual maximum current of the charging pile, it is determined that the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded, and obtain a list of lines in which the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded.

[0019] Optionally, the associating and matching the power consumption data and the operation data to obtain the first integrated data specifically includes:

[0020] The public distribution transformer ID is used as the key field, and the substation name and the 10kV line name are used as the auxiliary fields to associate and match the power consumption data and the operation data to obtain the first integrated data.

[0021] Optionally, the associating and matching the 10kV line heavy overload list with the metering underlying data to obtain the second integrated data specifically includes:

[0022] The user number of the charging pile is used as the key field, and the subordinate district bureau, the name of the 10kV power supply line, and the name of the distribution transformer are used as auxiliary fields to associate and match the 10kV line heavy overload list and the metering underlying data to obtain the second integrated data.

[0023] A second aspect of the present application provides an analysis system for a 10kV line overload caused by charging pile access, the system comprising:

[0024] An acquisition unit is used to acquire the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point;

[0025] a first integration unit, configured to correlate and match the power consumption data and the operation data to obtain first integrated data, and to filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded lines of 10 kV lines;

[0026] A second integration unit is used to associate and match the 10kV line heavy overload list with the metering underlying data to obtain second integrated data;

[0027] A calculation unit, configured to extract the annual maximum current moment of each 10kV line from the second integrated data with the annual maximum current time as a key field and the hour as a granularity, and calculate the hourly total power of the corresponding charging pile of each 10kV line based on each of the highest current moments;

[0028] The first analysis unit is used to analyze whether the 10kV line is severely overloaded due to the synchronous charging of the charging piles through the hourly total power consumption, and obtain a line list of the 10kV line that is severely overloaded due to the synchronous charging of the charging piles.

[0029] Optionally, it further includes: a generating unit;

[0030] The generating unit is used to generate the 10kV line heavy overload list and the line list report in units of cities or districts; and to generate the annual maximum current moment of each 10kV line and the corresponding hourly total electricity curve chart.

[0031] Optionally, it further comprises: a second analysis unit;

[0032] The second analysis unit is used to define the 10kV line as distributed photovoltaic, which causes the equipment to be heavy loaded or overloaded, when analyzing the 10kV line through the second integrated data or the annual maximum current moment.

[0033] It can be seen from the above technical solutions that this application has the following advantages:

[0034] The present application provides an analysis method for 10kV line heavy overload caused by charging pile access, including: S1, obtaining the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point; S2, correlating and matching the power consumption data and the operation data to obtain the first integrated data, and filtering out the heavy-loaded and overloaded lines from the first integrated data according to the preset annual maximum load rate to obtain the 10kV line heavy-overload list; S3, correlating and matching the 10kV line heavy-overload list and the metering underlying data to obtain the second integrated data; S4, extracting the annual maximum current time of each 10kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculating the hourly total electricity of the corresponding charging pile of each 10kV line based on each maximum current moment; S5, analyzing whether the 10kV line is heavily overloaded due to the simultaneous charging of the charging pile access through the hourly total electricity, and obtaining the line list of the 10kV line heavily overloaded due to the simultaneous charging of the charging pile access.

[0035] Compared with the prior art, the present application: 1) realizes the presentation of the reported capacity and metered electricity data of the charging piles (stations) of the 10kV heavily overloaded lines based on multi-business system data, and realizes dynamic update without human involvement in any link; 2) obtains the 10kV line heavy overload list from the production data by associating production, marketing and metering data, and realizes the presentation of the electricity status of the charging piles (stations) under the 10kV line at the highest current time of the year through marketing and metering data, and automatically analyzes whether the 10kV line heavy overload is caused by the charging piles (stations) charging at the same time; thereby solving the technical problem of poor accuracy and low efficiency in the prior art of analyzing heavy overload of 10kV lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic flow chart of Example 1 of an analysis method for a 10kV line overload caused by charging pile access provided in an embodiment of the present application;

[0037] Figure 2 This is a flow chart of Embodiment 2 of a method for analyzing a severe overload of a 10kV line caused by charging pile access provided in an embodiment of the present application;

[0038] Figure 3This is a structural schematic diagram of an analysis system embodiment of a charging pile access-induced 10kV line overload embodiment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. 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 this application.

[0040] See also Figure 1 , a method for analyzing a 10kV line overload caused by charging pile access provided in an embodiment of the present application includes:

[0041] Step 101: Obtain the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point;

[0042] It should be noted that the acquisition of charging pile electricity consumption data specifically includes: obtaining the electricity consumption information of subordinate charging piles (stations) through the marketing system, mainly including customer number, customer name, charging pile (station) contract capacity, charging pile (station) user number, subordinate district bureau, power supply station, commissioning date, industry classification, access voltage level, meter code, access point information (including public distribution transformer name, public distribution transformer ID), etc.

[0043] The acquisition of the operating data of the distribution network 10kV line specifically includes: obtaining the operating data of the distribution network 10kV line through the production ledger and operation system, mainly including the line name, line ID, including the public distribution transformer ID, subordinate district bureau, power supply station, substation, daily, monthly and annual maximum current, annual maximum load rate, annual average load and annual average load rate, etc.

[0044] The acquisition of the underlying metering data of the charging pile metering point specifically includes: based on the return data of the metering database, obtaining the underlying metering data of the metering point of the charging pile (station), mainly including: the user number of the charging pile (station), meter code, subordinate district bureau, power supply station, contract capacity of the charging (pile) station, access voltage level, grid connection date, 10kV line name, distribution transformer name, etc.

[0045] Step 102: Correlate and match the power consumption data and the operation data to obtain first integrated data, and select heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded lines of 10 kV lines;

[0046] It should be noted that, in this embodiment, the public distribution transformer ID is used as the key field, and the substation name and the 10kV line name are used as the auxiliary fields to associate and match the power consumption data and the operation data to obtain the first integrated data; specifically, the following steps are included:

[0047] 1) The power consumption data of charging piles (stations) in the marketing system is correlated and matched with the operation data of the 10kV line of the distribution network, with the public distribution transformer ID as the key field and the substation and 10kV line name as the auxiliary fields to perform data correlation matching;

[0048] 2) Based on the electricity consumption data of the charging piles (stations) in the marketing system, the operation data of the 10kV line of the distribution network is integrated. The integrated 10kV line data field (the first integrated data) includes: subordinate district bureau, power supply station, substation, 10kV line name, line current carrying capacity, charging pile (station) contract capacity, monthly maximum current, monthly maximum load rate, annual maximum current, annual maximum current time, annual maximum load rate, annual average load, and user number of the charging pile (station).

[0049] 3) Remove bad pixels from the integrated 10kV line data field (first integrated data) with the annual maximum load rate as the field: the removal rules are as follows: 1. Remove data with "annual maximum load rate" exceeding 140%; 2. Remove data with a negative "annual maximum load rate";

[0050] 4) For 10kV lines with bad points removed, if the annual maximum load rate exceeds 80% and is less than 100% for more than 1 hour, it is defined as overload; if the annual maximum load rate is more than 100% and lasts for more than 1 hour, it is defined as overload;

[0051] 5) Output 10kV line heavy overload list, the output fields include: line ID, public distribution transformer ID, subordinate district bureau, power supply station, substation, 10kV line name, line current carrying capacity, charging pile (station) contract capacity, monthly maximum current, monthly maximum load rate, annual maximum current, annual maximum current time, annual maximum load rate, annual average load and current curve of annual maximum load day, user number of charging pile (station).

[0052] Step 103, performing correlation matching on the 10kV line heavy overload list and the metering underlying data to obtain second integrated data;

[0053] It should be noted that this embodiment uses the user number of the charging pile as the key field, and the subordinate district bureau, the name of the 10kV power supply line, and the name of the distribution transformer as the auxiliary fields to associate and match the 10kV line heavy overload list and the metering underlying data to obtain the second integrated data; specifically, the following steps are included:

[0054] 1) The 10kV line heavy overload list outputted in step 102 is matched and associated with the metering underlying data of the metering database return data by fields, and the matching fields are the user number of the charging pile (station) as the main matching field, and the subordinate district bureau, power supply station, 10kV line name, and distribution transformer name as auxiliary fields to achieve data association;

[0055] 2) The associated output fields (second integrated data) include: line ID, public distribution transformer ID, subordinate district bureau, power supply station, substation, 10kV line name, line current carrying capacity, charging pile (station) contract capacity, monthly maximum current, monthly maximum load rate, annual maximum current, annual maximum current time, annual maximum load rate, annual average load and current curve of annual maximum load day, user number of charging pile (station), meter code, and grid connection date.

[0056] 3) The associated output fields realize the synchronous association of the 10kV line operation information of production, the charging pile (station) ledger information of marketing and the table code information of the metering database.

[0057] Step 104: extract the annual maximum current time of each 10kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculate the hourly total power of the corresponding charging pile of each 10kV line based on each maximum current time;

[0058] It should be noted that step 103 synchronizes the production, marketing and metering related information, produces 10kV line operation information, marketing charging pile (station) ledger information and metering database table code information, and realizes the matching and association presentation of the charging pile (station) user information contained in the 10kV heavy overload line and the subordinate table code information;

[0059] In this embodiment, step 104 specifically includes:

[0060] Taking the annual maximum current time of each 10kV line in the 10kV line heavy and overload list as the key field and the hour as the granularity, the annual maximum current moment of the 10kV line is extracted. For example: the annual maximum current of the 110kV Ronggui Station 10kV797 Chengbei Line is 520A, and the annual maximum load rate is 98%. The line is overloaded, and the annual maximum current time is 00:15 on October 3, 2021 (the maximum current moment).

[0061] Furthermore, at the time of the annual maximum current of the 10kV line, the metered power information of the charging pile (station) is used as the key field, and the hourly power information of the user meter of the charging pile (station) included in the 10kV line is presented in association, and the presentation method is as follows:

[0062] The annual maximum current of the 110kV Ronggui Station 10kV797 Chengbei Line is 520A, and the annual maximum load rate is 98%. The line is overloaded, and the annual maximum current time is 00:15 on October 3, 2021. The total hourly power of its charging pile (station) is 239kWh, and the converted current is 202.2A. The users are as follows:

[0063] The hourly power consumption of the XXX charging pile user is 20kWh, and the converted current is 1.2A;

[0064] The hourly power consumption of JJJ charging station users is 2000kWh, which is equivalent to 200A current;

[0065] The hourly current for JKJJ charging pile users is 10kWh, which converts to 1A.

[0066] Step 105: Analyze whether the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles by analyzing the total hourly electricity consumption, and obtain a list of lines where the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles.

[0067] It should be noted that this embodiment calculates the converted current of the total hourly electricity of the charging pile (such as the converted current in step 104). When the converted current of the charging pile accounts for more than 80% of the annual maximum current of the charging pile, it is determined that the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded, and a list of lines in which the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded, is obtained.

[0068] The above is Example 1 of an analysis method for a 10kV line overload caused by a charging pile connection provided in an embodiment of the present application. The following is Example 2 of an analysis method for a 10kV line overload caused by a charging pile connection provided in an embodiment of the present application.

[0069] See also Figure 2 , a method for analyzing a 10kV line overload caused by charging pile access provided in an embodiment of the present application includes:

[0070] Step 201: Obtain the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point;

[0071] Step 202: Correlate and match the power consumption data and the operation data to obtain first integrated data, and filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded lines of 10 kV lines;

[0072] Step 203: Correlate and match the 10kV line heavy overload list and the metering underlying data to obtain second integrated data;

[0073] Step 204: extract the annual maximum current moment of each 10 kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculate the hourly total power of the corresponding charging pile of each 10 kV line based on each maximum current moment;

[0074] Step 205: Analyze whether the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles by analyzing the total hourly electricity consumption, and obtain a list of lines where the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles.

[0075] It should be noted that steps 201-205 of this embodiment are the same as steps 101-105 of the first embodiment. Please refer to the description of steps 101-105 and will not be repeated here.

[0076] Step 206: When the 10 kV line is analyzed through the second integrated data or the annual maximum current moment, it is determined that the 10 kV line is distributed photovoltaic, causing the equipment to be heavy or overloaded, then the 10 kV line is defined as distributed photovoltaic, causing the equipment to be heavy or overloaded.

[0077] It should be noted that in addition to analyzing whether the charging pile is connected to the line list of the 10kV line that causes the charging at the same time, this embodiment also analyzes whether the 10kV line is distributed photovoltaic that causes the equipment to be overloaded or overloaded; specifically:

[0078] The second integrated data or the annual highest current moment is correlated and matched. If the 10kV line is judged as distributed photovoltaic causing equipment overload at both the second integrated data and the highest current moment, the 10kV line is defined as distributed photovoltaic causing equipment overload; if the 10kV line is judged as distributed photovoltaic causing equipment overload at both the second integrated data and the highest current moment, the 10kV line is defined as distributed photovoltaic causing equipment overload.

[0079] Step 207: Generate a list report of 10kV line heavy overload lists and line lists in units of cities or districts; and generate a curve chart of the annual maximum current moment of each 10kV line and the corresponding hourly total electricity.

[0080] It is understandable that, in the end, a specific list of 10kV heavily overloaded lines in the entire city and each district is presented, and the number and specific list of 10kV lines that are heavily overloaded due to simultaneous charging of charging piles (stations) are also presented, and the annual maximum current-time curve of each 10kV heavily overloaded line and the hourly power consumption information of charging pile (station) users are presented.

[0081] The above is Example 2 of an analysis method for a 10kV line overload caused by charging pile access provided in an embodiment of the present application. The following is an analysis system example of a 10kV line overload caused by charging pile access provided in an embodiment of the present application.

[0082] See also Figure 3 , an analysis system for a 10kV line overload caused by charging pile access provided in an embodiment of the present application includes:

[0083] The acquisition unit 301 is used to acquire the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point;

[0084] The first integration unit 302 is used to associate and match the power consumption data with the operation data to obtain first integrated data, and filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded lines of 10 kV lines;

[0085] The second integration unit 303 is used to associate and match the 10kV line heavy overload list with the metering underlying data to obtain second integrated data;

[0086] The calculation unit 304 is used to extract the annual maximum current time of each 10kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculate the hourly total power of the corresponding charging pile of each 10kV line based on each maximum current time;

[0087] The first analysis unit 305 is used to analyze whether the 10kV line is severely overloaded due to the simultaneous charging of the charging piles through the total hourly electricity consumption, and obtain a line list of the 10kV line that is severely overloaded due to the simultaneous charging of the charging piles.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0089] The terms "first", "second", "third", "fourth", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0090] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0091] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0095] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for analyzing the heavy overload of 10kV line caused by charging pile access, characterized in that: include: S1. Obtain the electricity consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the underlying metering data of the charging pile metering point; S2. Correlate and match the power consumption data and the operation data to obtain first integrated data, and filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded 10kV lines; S3, performing correlation matching on the 10kV line heavy overload list and the metering underlying data to obtain second integrated data; S4, extracting the annual maximum current time of each 10kV line from the second integrated data with the annual maximum current time as the key field and the hour as the granularity, and calculating the hourly total power of the corresponding charging pile of each 10kV line based on each of the highest current moments; S5. Analyze whether the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles through the total hourly electricity consumption, and obtain a list of lines where the 10 kV line is severely overloaded due to the simultaneous charging of the charging piles.

2. The analysis method for 10kV line heavy overload caused by charging pile access according to claim 1 is characterized in that: After step S5, the method further includes: Generate the 10kV line heavy overload list and the line list report in units of city or district; and generate the annual maximum current moment of each 10kV line and the corresponding hourly total electricity curve chart.

3. The analysis method for 10kV line heavy overload caused by charging pile access according to claim 1 is characterized in that: After step S4, the method further includes: When the 10kV line is analyzed by the second integrated data or the annual maximum current moment, it is determined that the 10kV line is distributed photovoltaic, causing the equipment to be heavy loaded or overloaded, and the 10kV line is defined as distributed photovoltaic, causing the equipment to be heavy loaded or overloaded.

4. The method for analyzing the severe overload of 10kV line caused by charging pile access according to claim 1, characterized in that: The heavy-loaded and overloaded lines are screened out from the first integrated data according to the preset annual maximum load rate to obtain a heavy-loaded and overloaded list of 10kV lines, which specifically includes: After excluding the data with an annual maximum load rate exceeding 140% or a negative annual maximum load rate in the first integrated data, the annual maximum load rate in the first integrated data exceeding 80% but less than 100% and lasting for more than 1 hour is defined as 10kV line heavy load, and the annual maximum load rate being above 100% and lasting for more than 1 hour is defined as overload, thereby obtaining the 10kV line heavy and overload list.

5. The method for analyzing the severe overload of 10kV line caused by charging pile access according to claim 1, characterized in that: The analyzing whether the 10kV line is severely overloaded due to the simultaneous charging of the charging piles by the total hourly electricity consumption, and obtaining a line list of the 10kV line severely overloaded due to the simultaneous charging of the charging piles, specifically includes: Calculate the converted current of the total hourly electricity of the charging pile. When the converted current of the charging pile accounts for more than 80% of the annual maximum current of the charging pile, it is determined that the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded, and obtain a list of lines in which the charging pile is connected to the synchronous charging, causing the 10kV line to be severely overloaded.

6. The method for analyzing the severe overload of 10kV line caused by charging pile access according to claim 1, characterized in that: The correlating and matching the power consumption data and the operation data to obtain the first integrated data specifically includes: The public distribution transformer ID is used as the key field, and the substation name and the 10kV line name are used as the auxiliary fields to associate and match the power consumption data and the operation data to obtain the first integrated data.

7. The method for analyzing the severe overload of 10kV line caused by charging pile access according to claim 1, characterized in that: The associating and matching the 10kV line heavy overload list with the metering underlying data to obtain the second integrated data specifically includes: The user number of the charging pile is used as the key field, and the subordinate district bureau, the name of the 10kV power supply line, and the name of the distribution transformer are used as auxiliary fields to associate and match the 10kV line heavy overload list and the metering underlying data to obtain the second integrated data.

8. An analysis system for 10kV line overload caused by charging pile access, characterized in that: include: An acquisition unit is used to acquire the power consumption data of the charging pile, the operation data of the 10kV line of the distribution network, and the metering underlying data of the charging pile metering point; a first integration unit, configured to correlate and match the power consumption data and the operation data to obtain first integrated data, and to filter out heavy-loaded and overloaded lines from the first integrated data according to a preset annual maximum load rate to obtain a list of heavy-loaded and overloaded lines of 10 kV lines; A second integration unit is used to associate and match the 10kV line heavy overload list with the metering underlying data to obtain second integrated data; A calculation unit, configured to extract the annual maximum current moment of each 10kV line from the second integrated data with the annual maximum current time as a key field and the hour as a granularity, and calculate the hourly total power of the corresponding charging pile of each 10kV line based on each of the highest current moments; The first analysis unit is used to analyze whether the 10kV line is severely overloaded due to the synchronous charging of the charging piles through the hourly total power consumption, and obtain a line list of the 10kV line that is severely overloaded due to the synchronous charging of the charging piles.

9. The analysis system for 10kV line heavy overload caused by charging pile access according to claim 8, characterized in that: Also includes: Generate unit; The generating unit is used to generate a list report of the 10kV line heavy overload list and the line list in units of cities or districts; And generate a curve chart of the annual maximum current moment of each 10kV line and the corresponding hourly total electricity consumption.

10. The analysis system for 10kV line heavy overload caused by charging pile access according to claim 8, characterized in that: Also includes: The second unit of analysis; The second analysis unit is used to define the 10kV line as distributed photovoltaic, which causes the equipment to be heavy loaded or overloaded, when analyzing the 10kV line through the second integrated data or the annual maximum current moment.

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