A main gateway port electric energy metering reverse abnormality identification and processing method

Abstract

The application provides a kind of main gateway mouth electric energy metering reverse abnormality identification and processing method, comprising: taking the telemetry power data of metering equipment in a day;Power integral electric quantity is calculated according to telemetry power data, wherein power integral electric quantity is divided into positive active integral electric quantity and reverse active integral electric quantity according to the positive and negative values of telemetry power data;Take the electric energy indication data of metering equipment corresponding to metering electric meter, and calculate the metering daily collection electric quantity according to the formula;The product of the positive and negative difference of collection electric quantity and the positive and negative difference of power integral electric quantity is calculated, whether the metering electric meter is normal is judged according to the product;Take the data of the same metering equipment for several consecutive days, calculate the daily product according to the foregoing steps, if the product value is less than 0 for several consecutive days, mark as reverse abnormality, and carry out negation operation in subsequent index statistics.The application judges whether reverse metering event occurs and processes reverse metering event by verifying power integral data and metering data, to avoid index imbalance caused by lag processing.

Description

Technical Field

[0001] The present invention belongs to the field of power system automation and relates to a method for identifying and processing reverse abnormality of electric energy meter measurement at a main network port in an electric energy acquisition system. Background Art

[0002] The energy metering system is responsible for storing and managing remotely collected metering data, enabling analysis and aggregation based on power grid models. Energy metering requires accurate and timely reflection of energy activity at upstream and downstream gateways within the power grid, providing data support for power market and marketing management systems, ensuring the implementation of services such as settlement, assessment, line loss management, balance analysis, and profit and loss analysis.

[0003] In the electric energy metering system, the collection service collects and stores frozen meter base code values ​​on terminals through the front-end processor. Applications then use this data to perform various business functions. Depending on the direction of the power flow, the meter's energy calculation formulas are: forward active energy = (forward active end base code - forward active initial base code) * CTPT ratio; reverse active energy = (reverse active end base code - reverse active initial base code) * CTPT ratio. In the electric energy metering system, forward and reverse active energy directly contribute to the calculation of indicators such as bus balancing, line loss, and transformer loss.

[0004] Accurate energy metering at the main gateway is fundamental to power market transactions and electricity bill settlement, and is crucial for ensuring fair and rational transactions and maintaining market order. As a key node for the inflow and outflow of energy in the power system, the metering data from the main gateway directly influences transaction prices and the calculation of electricity bills. For market participants such as electricity users, power generation companies, and power grid companies, accurate metering data is essential for safeguarding their rights and interests.

[0005] To ensure the correctness of various calculation formulas, busbar balance calculations, line loss calculations, transformer loss calculations, and other indicators, the accuracy of meter measurement data must be guaranteed. In actual operation, the problem of reverse meter measurement may occur, that is, forward active energy is measured as reverse active energy, and reverse active energy is measured as forward active energy. Since the current electric energy metering system does not have a reverse measurement identification method, when reverse measurement occurs, it will cause meter energy calculation errors, which will seriously affect the calculation of subsequent calculation formulas and the correctness of various indicator data statistics. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for identifying and processing reverse anomaly of electric energy meter measurement at a main network gateway to address the shortcomings of the existing technology, and to determine whether a reverse metering event occurs and process the reverse metering event by verifying power integration data and metering data.

[0007] A method for identifying and handling reverse anomaly of electric energy meter measurement at a main network gateway includes the following steps:

[0008] Step 1: Obtain the telemetered power data P of the metering device A for one day. The telemetered power data P is an instantaneous value with a power flow direction, distinguished by positive and negative values.

[0009] Step 2: Calculate the power integral quantity Power according to the telemetered power data P, wherein the power integral quantity is divided into positive active integral quantity Power and reverse active integral quantity Power according to the positive and negative values ​​of the telemetered power data P;

[0010] Step 3: Obtain the energy indication data of the meter corresponding to metering device A and calculate the energy collected on the metering day according to the formula. The energy collected on the metering day is divided into positive energy and negative energy according to the different metering directions.

[0011] Step 4: Calculate the product Status of the forward and reverse difference of the collected power and the forward and reverse difference of the power integrated power, and determine whether the meter is normal based on the product Status;

[0012] Step 5: Obtain data from the same metering device for multiple consecutive days and calculate the daily product Status according to steps 1 to 4. If the status value is less than 0 for multiple consecutive days, mark it as a reverse anomaly and perform the inversion operation in subsequent indicator statistics.

[0013] Furthermore, the calculation formula of the power integral power in step 2 is as follows:

[0014]

[0015] Pi: power value at a certain moment i;

[0016] n: the number of power data samples;

[0017] i: The subscript of a certain moment, i∈[1,n].

[0018] Furthermore, the calculation formula for the energy collected on the measurement day in step 3 is as follows:

[0019] Energy = (final energy indication - initial energy indication) * multiplier

[0020] Initial electric energy indication: The electric energy indication is frozen at zero o'clock on the day of electric energy calculation. This value can be read directly through the electric energy display.

[0021] Final electric energy indication: The electric energy indication is frozen at zero o'clock one day after the day of electric energy calculation, and the value can be read directly through the electric energy indication.

[0022] Rating: basic parameter of electric energy meter.

[0023] Furthermore, the product of the forward and reverse difference of the electric quantity and the forward and reverse difference of the power integrated electric quantity in step 4, Status, is calculated as follows:

[0024] Status = (Energy positive - Energy negative) * (Power positive - Power negative)

[0025] If the status is less than 0, it means that the meter may have a reverse abnormality; if it is greater than 0, it means it is normal.

[0026] Furthermore, step five also includes: when it is detected that the status is less than 0 for the first n consecutive days and greater than 0 for the next 10-n days, it is considered that the meter has returned to normal after manual treatment; the system records the time node and modifies the reverse mark to normal; at the same time, the operation and maintenance personnel are notified to confirm whether the treatment has occurred to ensure that the problem is completely resolved.

[0027] Furthermore, step five also includes: when a reverse abnormality is detected in the electric meter, notifying relevant operation and maintenance personnel to handle it.

[0028] The present invention proactively discovers reverse metering anomalies in a data-driven manner, and guides operation and maintenance personnel to repair and restore abnormal meters; proactively inverts the identification of meters with reverse metering anomalies, and automatically reversely processes the data based on the inverted identification when calculating indicators, thereby avoiding indicator imbalances caused by delayed processing; proactively identifies anomalies and pushes them to operation and maintenance personnel, thereby improving their efficiency in troubleshooting anomalies. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a flow chart of the method for identifying and processing reverse anomaly of electric energy meter measurement at the main network gateway of the present invention.

[0030] Figure 2 This is the result of electricity data for a certain period of time calculated by an embodiment of the present invention using the main data of Hubei. Beigang Wind Storage Power Plant / AC35kV. Bei305 Beiji #2 Line (wind power) as an example. DETAILED DESCRIPTION

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0032] See also Figure 1The embodiment of the present invention provides a method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway, comprising the following steps:

[0033] Step 1: Obtain the telemetered power data P of the metering device A for one day. The telemetered power data P is an instantaneous value with a power flow direction, distinguished by positive and negative values.

[0034] Step 2: Calculate the power integral quantity Power according to the telemetered power data P, wherein the power integral quantity is divided into positive active integral quantity Power and reverse active integral quantity Power according to the positive and negative values ​​of the telemetered power data P;

[0035]

[0036] Pi: power value at a certain moment i (power data has positive and negative signs to indicate direction);

[0037] n: number of power data samples (n = 96 if sampling is 15 minutes, n = 288 if sampling is 5 minutes, and n = 1440 if sampling is 1 minute);

[0038] i: the subscript of a certain moment, i∈[1,n];

[0039] 24: 24 hours, indicating one day's power consumption

[0040] Step 3: Obtain the energy indication data of the meter corresponding to metering device A and calculate the energy collected on the metering day according to the formula:

[0041] Energy = (final energy indication - initial energy indication) * multiplier

[0042] Initial electric energy indication: The electric energy indication is frozen at zero o'clock on the day of electric energy calculation. This value can be read directly through the electric energy display.

[0043] Final electric energy indication: The electric energy indication is frozen at zero o'clock one day after the day of electric energy calculation, and the value can be read directly through the electric energy indication.

[0044] Ratio: basic parameter of electric energy meter;

[0045] The CTPT transformation ratio power integral electricity and the metering meter measurement data can be roughly regarded as data measurement of the same metering point, but the measurement tools and methods used are different;

[0046] The energy collected on the measurement day is divided into positive energy and negative energy according to the different measurement directions.

[0047] Step 4: Calculate the product Status of the forward and reverse difference of the collected power and the forward and reverse difference of the power integrated power, and judge whether the meter is normal based on the product Status.

[0048] Status = (Energy positive - Energy negative) * (Power positive - Power negative)

[0049] If the status is less than 0, it means that the meter may have a reverse anomaly; if it is greater than 0, it is normal. The calculation here only calculates the data of device A on the same day.

[0050] Step 5: Take data from the same measuring device for 10 consecutive days and calculate the daily data according to steps 1 to 4;

[0051] Necessary conditions for data acquisition: The power integrated electricity data and collected electricity data of the day must exist at the same time, and the telemetry power data of the day must not be missed, otherwise the data of that day will be skipped and the next data will be acquired.

[0052] Furthermore, the meter's status value is calculated daily, and any anomalies are automatically recorded. If the status value is found to be less than 0 for multiple consecutive days (e.g., two days), the system immediately marks it as a reverse anomaly and automatically inverts it in subsequent metric statistics. This ensures that even if a meter malfunctions, the system still accurately reflects actual electricity usage. Detailed reverse anomaly records are also generated. These records should include information such as the time, location, type, and possible cause of the anomaly, helping operations and maintenance personnel quickly locate the problem and take appropriate action.

[0053] Furthermore, if the meter's status is less than 0 for n consecutive days and greater than 0 for the next 10-n days, the meter can be considered to have returned to normal after manual intervention. The system should record this time and change the reverse flag to normal. Operations and maintenance personnel should also be notified to confirm whether the intervention has occurred to ensure the problem is fully resolved.

[0054] Further establish an effective notification and confirmation mechanism to immediately notify relevant operations and maintenance personnel when a reverse anomaly is detected on an electricity meter. Upon receiving the notification, operations and maintenance personnel should promptly investigate and address the issue. After the issue is resolved, operations and maintenance personnel should also confirm the issue to ensure accurate documentation of the anomaly handling process.

[0055] Taking the Hubei. Beigang Wind Storage Power Plant / AC35kV. Bei 305 Beiji #2 Line (wind power) master data as an example, the power data results for March 1-3 / 6 are calculated using the calculation method in step 5. The data greater than 0 is treated as 1, and the data less than 0 is treated as -1. The results are shown in Table 1 and Figure 2 As shown:

[0056] The analysis results show that the status changed from 3 / 5 to 3 / 6. Check the original data to confirm.

[0057] Table 1

[0058]

[0059] From the data table analysis, the electric meter is mainly reverse active metering before 3 / 5, and there is no data for forward active; after that, forward active metering starts, and there is no data for reverse active, which starts to match the power integration calculation result; after confirming with the plant and station operation and maintenance personnel, the wind farm is informed that the electric meter has a reverse metering problem, and the wind farm adjusts the polarity on 5, and the data returns to normal.

[0060] In summary, through the present application, the metering electric energy meter that may occur reverse metering can be quickly judged and analyzed, and the reverse metering electric energy meter is preprocessed, so as to ensure the normal calculation of various indexes. At the same time, the on-site operation and maintenance personnel are guided to process the reverse metering electric energy meter, so as to reduce the time for the operation and maintenance personnel to check and locate the problem.

[0061] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any change or replacement that can be easily thought of by any person skilled in the art within the technical scope disclosed by the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for identifying and handling reverse anomaly of electric energy meter measurement at a main network gateway, characterized in that: The steps include: Step 1: Obtain the telemetered power data P of the metering device A for one day. The telemetered power data P is an instantaneous value with a power flow direction, distinguished by positive and negative values. Step 2: Calculate the power integral quantity Power according to the telemetered power data P, wherein the power integral quantity is divided into positive active integral quantity Power and reverse active integral quantity Power according to the positive and negative values ​​of the telemetered power data P; Step 3: Obtain the energy indication data of the meter corresponding to metering device A and calculate the energy collected on the metering day according to the formula. The energy collected on the metering day is divided into positive energy and negative energy according to the different metering directions. Step 4: Calculate the product Status of the forward and reverse difference of the collected power and the forward and reverse difference of the power integrated power, and determine whether the meter is normal based on the product Status; Step 5: Obtain data from the same metering device for multiple consecutive days and calculate the daily product Status according to steps 1 to 4. If the status value is less than 0 for multiple consecutive days, mark it as a reverse anomaly and perform the inversion operation in subsequent indicator statistics.

2. The method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway according to claim 1, characterized in that: Step 2: The calculation formula of power integral is as follows: Pi: power value at a certain moment i; n: the number of power data samples; i: The subscript of a certain moment, i∈[1,n].

3. The method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway according to claim 1, characterized in that: The calculation formula for the energy collected on the measurement day in step 3 is as follows: Energy = (final energy indication - initial energy indication) * multiplier Initial electric energy indication: The electric energy indication is frozen at zero o'clock on the day of electric energy calculation. This value can be read directly through the electric energy display. Final electric energy indication: The electric energy indication is frozen at zero o'clock one day after the day of electric energy calculation, and the value can be read directly through the electric energy indication. Rating: basic parameter of electric energy meter.

4. The method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway according to claim 1, wherein: The formula for calculating the Status of the product of the forward and reverse difference of the power in step 4 and the forward and reverse difference of the power integrated power is as follows: Status = (Energy positive - Energy negative) * (Power positive - Power negative) If the status is less than 0, it means that the meter may have a reverse abnormality; if it is greater than 0, it means it is normal.

5. The method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway according to claim 1, wherein: Step 5 also includes: when it is detected that the status is less than 0 for the first n consecutive days and greater than 0 for the next 10-n days, it is considered that the meter has returned to normal after manual treatment; the system records this time node and changes the reverse flag to normal; At the same time, notify the operation and maintenance personnel to confirm whether any processing has occurred to ensure that the problem is completely resolved.

6. The method for identifying and handling reverse measurement anomalies of electric energy meters at a main network gateway according to claim 1, characterized in that: Step five also includes: when a reverse abnormality is detected in the electric meter, notifying relevant operation and maintenance personnel to handle it.

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