Electric energy meter wrong wiring diagnosis method based on electricity consumption characteristic quantity analysis and calculation

Abstract

The invention discloses an electric energy meter wrong wiring diagnosis method based on electricity utilization characteristic quantity analysis and calculation, and the method comprises the steps: judging the wrong wiring of an electric energy meter through the characteristic data, such as current, voltage, active power, reactive power and the like, collected by an existing stock electric energy meter in combination with data modeling processing and algorithm analysis, and further analyzing a specific wrong wiring type. Therefore, the wrong wiring of the low-voltage user can be found and handled in time. According to the invention, large-scale, long-distance and continuous judgment is realized, manual on-site judgment for checking wrong wiring of the electric energy meter is replaced, the judgment efficiency is improved, manpower and material resources are reduced, and data diagnosis automation is realized.

Description

Technical Field

[0001] The invention relates to a method for diagnosing wrong wiring of an electric energy meter based on analysis and calculation of electric consumption characteristic quantities, and belongs to the technical field of electric quantity restoration. Background Art

[0002] With the rapid development of power supply companies, the expansion of domestic power demand and power grid scale has promoted the use of smart energy meters, providing many conveniences for enterprises and users. However, when installing the energy meter, due to human or other reasons, the wiring of the energy meter may be wrong, which may affect power safety and electricity bill measurement. In addition, it will affect the power supply company's electricity policy and hinder the company's goal of safe, economical and reasonable electricity use. Therefore, power supply companies urgently need to solve the problem of wrong wiring of energy meters.

[0003] Finding wrong wiring has always been an important task for the power supply department. The commonly used methods are mainly divided into on-site power outage inspection and live inspection using phasor diagrams. On-site power outage inspection requires staff to operate in real time, which takes a long time and is inefficient, affecting the normal production and life of users. The method of drawing phasor diagrams requires high experience and skills of personnel, and is easily affected by subjective factors of staff. At present, the investigation of wrong wiring requires manual on-site periodic inspections, but the manual on-site periodic inspections of massive users one by one have the disadvantages of low investigation efficiency, long inspection cycle, and high manpower consumption. There is a lack of effective monitoring means. In the online monitoring of the metering of the electricity information collection system, compared with abnormal phenomena such as loss of pressure and loss of current, which are easy to find, there is no obvious data anomaly in the wrong wiring event, which is not easy to detect under the current monitoring method. With the increase in people's electricity demand, the traditional method of dealing with wrong wiring has been stretched to its limits, and it is a heavy burden on power supply staff, and new methods are urgently needed.

[0004] If the existing remote data collection can be used for analysis and judgment, work efficiency can be greatly improved. However, most remote data collection systems for electric energy meter information do not have or cannot collect phase angles, and can only provide scalar values ​​such as three-phase current, three-phase voltage, active power, reactive power, and power factor. According to traditional methods, it is difficult to determine whether wrong wiring has occurred, and it is impossible to accurately perceive the specific type of wrong wiring, so it is impossible to calculate the subsequent power recovery in time.

[0005] Therefore, a method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of power consumption characteristic quantities is needed to solve the above problems. Summary of the invention

[0006] Purpose of the invention: In view of the problems existing in the prior art, the present invention provides a method for diagnosing wrong wiring of an electric energy meter based on analysis and calculation of electricity consumption characteristic quantities.

[0007] The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of electric energy consumption characteristic quantities comprises the following steps:

[0008] Step 1: Acquire characteristic data and wiring mode of the electric energy meter, wherein the characteristic data includes current, voltage, active power and reactive power, and the wiring mode includes three-phase three-wire and three-phase four-wire;

[0009] Step 2: preprocessing the collected feature data at the same time point and phase to obtain preprocessed feature data;

[0010] Step 3: Based on the pre-processed characteristic data obtained in step 2, obtain the active power p and reactive power q by phase, and calculate the power factor And judging according to the measured power factor partition division table, the measured power factor partition interval is obtained;

[0011] Step 4: Based on the measured power factor partition interval obtained in step 3, the power factor angle range is obtained, and according to the load property and power factor angle range division table, the load type and flow direction of the electric energy meter are determined;

[0012] Step 5: According to the load type and power flow direction obtained in step 4 and the measured power factor partition interval obtained in step 3, the current angle transfer interval is determined according to the current angle transfer interval table;

[0013] Step 6: According to the current angle transfer interval obtained in step 5, according to the wiring method of the electric energy meter, according to the three-phase three-wire wrong wiring type determination table or the three-phase four-wire wrong wiring type determination table, obtain the wiring result of the electric energy meter.

[0014] Furthermore, the feature data preprocessed in step 2 is represented by the following matrix:

[0015]

[0016] Where U a , U b and U c are the ABC three-phase voltages of the electric energy meter, I a ,I b and I c are the ABC three-phase currents of the electric energy meter, P a , P b and P c They are the ABC three-phase active power of the electric energy meter, Q c , Q b and Q c They are the ABC three-phase reactive power of the electric energy meter respectively.

[0017] Furthermore, the measurement partition division table in step 3 is represented by the following table:

[0018]

[0019] In the table, p is active power and q is reactive power.

[0020] Furthermore, the load characteristics and power factor angle range division table in step 4 is represented by the following table:

[0021]

[0022]

[0023] In the table, H -2 Indicates large capacitive load, H -1 Indicates capacitive load, H 0 Indicates neutral load, H +1 Indicates inductive load, H +2 Indicates a large inductive load.

[0024] Furthermore, the current angle transfer interval table in step 5 is represented by the following table:

[0025]

[0026] In the table, Indicates the measurement angle interval number. When the connection is correct, the α, β and γ angle ranges are partition A. Rotating 60° clockwise, the corresponding partitions are B, C, D, E and F.

[0027] Furthermore, the three-phase three-wire miswiring type determination table in step 6 is represented by the following table:

[0028]

[0029]

[0030] In the table, the current interval is the current angle transfer interval.

[0031] Furthermore, the three-phase four-wire miswiring type determination table in step 6 is represented by the following table:

[0032]

[0033] In the table, the current interval is the current angle transfer interval.

[0034] Beneficial effect: The electric energy meter miswiring diagnosis method based on the analysis and calculation of electricity consumption characteristic quantities of the present invention can effectively determine the miswiring of the electric energy meter through the characteristic data such as current, voltage, active power, reactive power collected by the existing stock electric energy meters, combined with data modeling processing and algorithm analysis, so as to achieve timely discovery of the miswiring of low-voltage users. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flow chart of the method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of electric power characteristic quantities of the present invention;

[0036] Figure 2 It is a schematic diagram of the partition;

[0037] Figure 3 This is the result diagram of the current angle interval AF division. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings to more clearly and completely illustrate the technical solutions of the present invention.

[0039] See also Figure 1 As shown, the electric energy meter miswiring diagnosis method based on power consumption characteristic quantity analysis and calculation of the present invention comprises the following steps:

[0040] Step 1: Obtain the current, voltage, active power, and reactive power data of the energy meter. Also, the wiring method of the energy meter in the archive is known, three-phase three-wire or three-phase four-wire.

[0041] The characteristic data are expressed in symbols as follows:

[0042] (1)U a , U b , U c , ABC three-phase voltage

[0043] (2)I a , I b , I c , ABC three-phase current

[0044] (3)P a , P b , P c , ABC three-phase active power

[0045] (4)Q c , Q b , Q c , ABC three-phase reactive power

[0046] Step 2: Preprocess the collected data at the same time point and phase to obtain the data at a certain time point, which is represented by the following matrix:

[0047]

[0048] The matrix row data is UIPQ phase-separated data, and the matrix column data is UIPQ in-phase data.

[0049] Step 3: Based on the result data preprocessed in step 2, obtain the active power p and reactive power q by phase, according to the formula Calculate, calculate the value and judge according to the measurement partition table to get the specific measurement partition result:

[0050] Table 1. Measurement partition division table

[0051]

[0052] Among them, see Figure 2 , measurement partitions: the first partition, the second partition, the third partition, the fourth partition, the fifth partition, the sixth partition, the seventh partition, the eighth partition, the ninth partition, the tenth partition, the eleventh partition and the twelfth partition are obtained by dividing a circle into 12 sector-shaped partitions with the same center as the circle. Specifically, for a circle, rotate counterclockwise from the center origin and divide the 12 areas at an angle of 30 degrees to obtain 12 measurement partitions.

[0053] See also Figure 3 As shown in the figure, the angle ranges of α, β and γ when the wiring is correct are defined as partition A. Rotating 60° clockwise, partitions B, C, D, E and F are obtained. The division result of the current angle interval AF ([-30°, 30°], positive power flow).

[0054] Step 4: Based on the measured power factor partition interval obtained in step 3, the angle is obtained, and the specific load nature is determined according to the load nature and the power factor angle range:

[0055] Table 2. Load properties and power factor angle range division table

[0056] Load nature H Power factor angle range Large capacitive load <![CDATA[H -2 ]]> [-90°,-30°] Capacitive load <![CDATA[H -1 ]]> [-60°,0°] Neutral load <![CDATA[H 0 ]]> [-30°,30°] Inductive load <![CDATA[H +1 ]]> [0°,60°] Large inductive load <![CDATA[H +2 ]]> [30°,90°]

[0057] Step 5: Based on the load type and power flow direction obtained in the above steps, measure the power factor partition intervals: the first partition, the second partition, the third partition, the fourth partition, the fifth partition, the sixth partition, the seventh partition, the eighth partition, the ninth partition, the tenth partition, the eleventh partition and the twelfth partition, and determine the current angle transfer interval according to the current angle transfer interval table:

[0058] Table 3. Current angle transfer interval table

[0059]

[0060] Step 6: Based on the current angle transfer interval table obtained in step 5 above, combined with the connection mode of the electric energy meter: three-phase three-wire or three-phase four-wire, find the criteria of matching Table 4 or Table 5 to obtain the connection result, wherein Table 4 or Table 5 is based on the electric power theory foundation and based on the business experience and the working conditions of the power system, and defines the mapping relationship between the offset interval combination of each phase current relative to the A zone and the wrong connection type;

[0061] Table 4 is a table for determining the wrong wiring type of three-phase three-wire electric energy meter

[0062]

[0063]

[0064] Table 5 is a table for determining the wrong wiring type of three-phase four-wire electric energy meter

[0065]

[0066] Step 7: Based on the wiring results obtained in step 6 and combined with industry experience, the common types of wrong wiring are determined:

[0067] Table 6. Classification of main miswiring types

[0068] Main types of wrong wiring illustrate Reverse wiring The voltage and current transformers are matched correctly, but the direction is reversed. Wrong wiring Wrong connection between different mutual sensors Concatenation A loop is formed between the input of different phase current transformers and the output of different current transformers .

[0069] Current methods for troubleshooting wrong wiring: The commonly used troubleshooting method is manual on-site periodic inspections, but manual on-site periodic inspections of a large number of users one by one have shortcomings such as low troubleshooting efficiency, long inspection cycles, and high manpower consumption. There is a lack of effective monitoring methods. In the online monitoring of the electricity consumption information collection system, compared with abnormal phenomena such as loss of pressure and loss of current, which are easy to find, wrong wiring events have no obvious data anomalies and are not easy to detect under the current monitoring methods.

[0070] The electric energy meter miswiring diagnosis method based on power consumption characteristic quantity analysis and calculation of the present invention is aimed at field miswiring of metering electric energy meters such as high supply and high metering, high supply and low metering, etc., adopts consumption data, and realizes accurate analysis of miswiring through theoretical calculation.

[0071] The present invention has the following technical effects:

[0072] 1. Based on the existing PQUI data, there is no need to install additional measuring devices, which can greatly improve work efficiency.

[0073] 2. The present invention provides a method for analyzing and judging the wrong wiring of an electric energy meter, which has the characteristics of high analysis and judgment accuracy, low cost and high efficiency, and improves the maintenance efficiency of metering personnel.

[0074] 3. Based on the analysis of wrong wiring, the method of the present invention can also realize real-time analysis of 48 wiring types of three-phase three-wire electricity meters and 96 wiring types of three-phase four-wire electricity meters, which is of great significance for wiring guidance and subsequent power recovery.

[0075] 4. Automatic analysis, accurate judgment, and provision of precise miswiring information. It can be checked and corrected according to the instructions to effectively guide on-site inspections. Based on scientific analysis, the correct measurement value of electricity should be calculated, effectively supporting the refund of miswiring electricity.

Claims

1. A method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of power consumption characteristic quantities, characterized in that: The following steps are involved: Step 1: Acquire characteristic data and wiring mode of the electric energy meter, wherein the characteristic data includes current, voltage, active power and reactive power, and the wiring mode includes three-phase three-wire and three-phase four-wire; Step 2: preprocessing the collected feature data at the same time point and phase to obtain preprocessed feature data; Step 3: Based on the pre-processed characteristic data obtained in step 2, obtain the active power p and reactive power q by phase, and calculate the power factor And judging according to the measured power factor partition division table, the measured power factor partition interval is obtained; Step 4: obtain the power factor angle range based on the measured power factor partition interval obtained in step 3, and determine the load type and power flow direction of the electric energy meter according to the load property and power factor angle range division table; Step 5: According to the load type and power flow direction obtained in step 4 and the measured power factor partition interval obtained in step 3, the current angle transfer interval is determined according to the current angle transfer interval table; Step 6: According to the current angle transfer interval obtained in step 5, according to the wiring method of the electric energy meter, according to the three-phase three-wire wrong wiring type determination table or the three-phase four-wire wrong wiring type determination table, obtain the wiring result of the electric energy meter.

2. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of power consumption characteristic quantities according to claim 1, characterized in that: The feature data preprocessed in step 2 is represented by the following matrix: Where U a , U b and U c are the ABC three-phase voltages of the electric energy meter, I a ,I b and I c are the ABC three-phase currents of the electric energy meter, P a , P b and P c They are the ABC three-phase active power of the electric energy meter, Q c , Q b and Q c They are the ABC three-phase reactive power of the electric energy meter respectively.

3. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of electric power characteristic quantities according to claim 1, characterized in that: The measurement partition division table in step 3 is represented by the following table: In the table, p is active power and q is reactive power.

4. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of electric power characteristic quantities according to claim 1, characterized in that: The load characteristics and power factor angle range division table in step 4 are expressed in the following table: In the table, H -2 Indicates large capacitive load, H -1 Indicates capacitive load, H0 indicates neutral load, H +1 Indicates inductive load, H +2 Indicates a large inductive load.

5. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of electric power characteristic quantities according to claim 1, characterized in that: The current angle transfer interval table in step 5 is represented by the following table: In the table, ①- Indicates the measurement angle interval number. When the connection is correct, the α, β and γ angle ranges are partition A. Rotating 60° clockwise, the corresponding partitions are B, C, D, E and F.

6. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of power consumption characteristic quantities according to claim 1, characterized in that: The three-phase three-wire wrong wiring type determination table in step 6 is represented by the following table: In the table, the current interval is the current angle transfer interval.

7. The method for diagnosing wrong wiring of electric energy meters based on analysis and calculation of power consumption characteristic quantities according to claim 1, characterized in that: The three-phase four-wire wrong wiring type determination table in step 6 is represented by the following table: In the table, the current interval is the current angle transfer interval.

Images