A method for improving the accuracy of anti-electricity theft analysis based on real-time measurement

Abstract

The present invention proposes a method for improving the accuracy of anti-electricity theft analysis based on real-time metering, and the method includes the following steps: 1. Preliminary judgment on whether there is electricity theft in the user's electricity meter through real-time voltage metering; 2. Preliminary judgment on whether there is electricity theft in the user's electricity meter through real-time current metering; 3. Further final judgment on whether there is electricity theft in the user's electricity meter through changes in the user's real-time electricity metering. Beneficial effects of the present invention: 1) The present invention performs a difference correlation analysis of a long time series based on a unified time reference according to the total metering value and the data collected from each user's electricity consumption, thereby improving the situation where the electric energy difference method causes misjudgment or inability to judge electricity theft due to large line loss errors; 2) The present invention can detect electricity theft without the need to add additional hardware equipment on the basis of the voltage intelligent algorithm, and the cost is low.

Description

Technical Field

[0001] The invention relates to a method for improving the accuracy of anti-electricity theft analysis based on real-time measurement, and belongs to the technical field of anti-electricity theft. Background Art

[0002] There are many kinds of electricity theft methods, but according to their principles, they can be divided into two categories: electricity theft unrelated to metering devices and electricity theft related to metering devices; among them, electricity theft unrelated to metering devices includes users privately increasing capacity, short-circuiting the inlet and outlet lines of the metering box, etc.; electricity theft methods related to metering devices include undervoltage theft, undercurrent theft, phase shift theft, differential expansion theft, etc.; anti-electricity theft technologies for these two methods can also be divided into two categories. One is to install various anti-electricity theft hardware measures at the place where the electricity meter is installed and on the meter to achieve the purpose of preventing electricity theft; the other is to judge whether there is electricity theft through the difference between the total meter power of the distribution line and the sum of the power of each sub-meter Electricity theft; Among them, there are some shortcomings in the anti-electricity theft methods that are not related to metering devices: 1) The use of multiple electricity meters is undoubtedly the most effective measure to detect users' electricity theft, but the installation of bidirectional current meters will undoubtedly increase the hardware investment of the electricity meters, and this part of the investment is relatively large. After all, electricity theft users are a minority compared to non-electricity theft users. The use of the dual-meter method increases the investment in the power system; 2) The use of the difference method between the total electricity meter and the household meter can save a lot of investment, but there are factors such as errors in the topological relationship between the total meter and the household meter, the inability to accurately calculate the low-voltage line loss, and the meter measurement error, which make it impossible to accurately judge electricity theft. Summary of the invention

[0003] The present invention proposes a method for improving the accuracy of anti-electricity theft analysis based on real-time measurement, which aims to solve the problem that the electricity theft behavior cannot be monitored and measured.

[0004] A method for improving the accuracy of anti-electricity theft analysis based on real-time measurement, the method comprising the following steps:

[0005] 1. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time voltage measurement;

[0006] 2. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time current measurement;

[0007] 3. Further determine whether there is electricity theft through the user's electricity meter based on the changes in the user's real-time electricity measurement.

[0008] Furthermore, the preliminary determination of whether there is electricity theft in the electricity meter through real-time voltage measurement specifically includes:

[0009] 1-1. Establish a unified timestamp;

[0010] 1-2. Establish communication interface monitoring;

[0011] 1-3. Set the voltage drop percentage threshold;

[0012] 1-4. Collect real-time voltage information of user's electric meter;

[0013] 1-5. Determine whether the voltage of the user's electric meter drops;

[0014] 1-6. Determine whether the voltage drop percentage of the user's electric meter is greater than the set percentage threshold;

[0015] 1-7. Obtain the voltage of other users' electric meters under the same metering automation device;

[0016] 1-8. Determine whether the voltage of other users' meters under the same metering automation device has dropped;

[0017] 1-9. If the voltage of other user meters under the same metering automation device does not drop, it is judged that the user meter to be tested has electricity theft; if the voltage of other user meters under the same metering automation device drops, it is judged that the user meter to be tested has not electricity theft.

[0018] Furthermore, the preliminary determination of whether there is electricity theft in the electricity meter through real-time current measurement specifically includes:

[0019] 2-1. Establish a unified timestamp;

[0020] 2-2. Establish communication interface monitoring;

[0021] 2-3. Install the metering master meter in the metering automation device and set the first difference threshold d according to the line loss situation. 2 ;

[0022] 2-4. Receive the current information I sent by the meter in real time 总 ;

[0023] 2-5. Receive the current information I sent in real time by the n user meters connected to the metering automation device 1 ,I 2 ,I 3 ……I n , n≥0;

[0024] 2-6. Calculate the sum of the real-time currents emitted by n user meters and the real-time current information I emitted by the total meter. 总 The difference d 1 ;

[0025] 2-7. Determine the difference d 1 Is it greater than the preset first difference threshold d 2 , if d 1 >d 2Then an electricity theft alarm signal is issued; otherwise, it is determined that there is no electricity theft behavior in the n user's electricity meters;

[0026] 2-8. Obtain the current values ​​of n user meters when they send out electricity theft alarm signals, and obtain a current data set P 1 = {I 1 '、I 2 '、I 3 '、···、I n '};

[0027] 2-9. Obtain the current values ​​of the n user's electric meters at the last cycle when the electric theft alarm signal is issued, and obtain the current data set P 2 = {I 1 ”、I 2 ”、I 3 "、···、I n ”};

[0028] 2-10. Calculate the data set P 1 Each element in the dataset P 2 The difference of the corresponding elements in the current difference data set P is obtained. 3 ={J 1 , J 2 , J 3 、···J n}, where J 1 =I 1 ”-I 1 ';J 2 =I 2 ”-I 2 ';···J n =I n ”-I n '.

[0029] Furthermore, the method of ultimately determining whether there is electricity theft in the user's electricity meter through changes in real-time electricity metering of the user specifically includes: using the Euclidean distance formula to analyze, defining the user's electricity meter that is initially determined to have electricity theft as a suspected user, and determining whether the suspected user's low-power consumption time period and historical data belong to the same category. If so, the decrease in electricity consumption is caused by normal production behavior. If not, the suspected user is ultimately determined to have electricity theft based on the preliminary determination results of steps 1 and 2.

[0030] Beneficial effects of the present invention:

[0031] 1) The present invention performs a long-term difference correlation analysis based on the total metering value and the data collected from each user's electricity consumption based on a unified time reference, thereby improving the situation where the electric energy difference method causes misjudgment or is unable to judge electricity theft due to the large line loss error;

[0032] 2) The present invention can detect electricity theft without adding any additional hardware equipment based on the voltage intelligent algorithm, and the cost is low;

[0033] 3) Even if electricity theft is discovered using a voltage intelligent algorithm, people still need to investigate which household or households are stealing electricity. The present invention can use the wiring topology diagram to make point-by-point comparisons, as well as the user's electricity behavior model analysis to accurately locate the electricity theft user, and by comparison determine which household or households are stealing electricity, thereby improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Attached Figure 1 It is a schematic flow chart of the method of the present invention.

[0035] Attached Figure 2 It is a flowchart for making a preliminary judgment on whether there is electricity theft in the user's electricity meter through real-time voltage measurement.

[0036] Attached Figure 3 It is a flowchart for making a preliminary judgment on whether there is electricity theft in the user's electricity meter through real-time current measurement. DETAILED DESCRIPTION

[0037] A method for improving the accuracy of anti-electricity theft analysis based on real-time measurement, the method comprising the following steps:

[0038] 1. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time voltage measurement;

[0039] 2. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time current measurement;

[0040] 3. Further determine whether there is electricity theft through the user's electricity meter based on the changes in the user's real-time electricity measurement.

[0041] Assuming that the three-phase AC power transmitted by the power grid does not consider any influencing factors, the ideal voltages of phases A, B, and C can be expressed as formula (1):

[0042]

[0043] U in formula (1) A , U B , U C are the effective values ​​of the voltages of phase A, phase B, and phase C in the user's power consumption information data, and ω is the angular frequency in the user's power consumption information data. It can be seen that the power consumption voltage is a vector closely related to time.

[0044] The preliminary determination of whether there is electricity theft in the electricity meter through real-time voltage measurement specifically includes:

[0045] 1-1. Establish a unified timestamp;

[0046] 1-2. Establish communication interface monitoring;

[0047] 1-3. Set the voltage drop percentage threshold;

[0048] 1-4. Collecting real-time voltage information of user's electric meter; preferably using metering automation device to collect real-time power voltage information of user's electric meter;

[0049] 1-5. Determine whether the voltage of the user's electric meter drops;

[0050] 1-6. Determine whether the voltage drop percentage of the user's electric meter is greater than the set percentage threshold;

[0051] 1-7. Obtain the voltage of other users' electric meters under the same metering automation device;

[0052] 1-8. Determine whether the voltage of other users' meters under the same metering automation device has dropped;

[0053] 1-9. If the voltage of other user meters under the same metering automation device does not drop, it is judged that the user meter to be tested has electricity theft; if the voltage of other user meters under the same metering automation device drops, it is judged that the user meter to be tested has not electricity theft.

[0054] The establishing of a unified timestamp specifically includes the meter terminal extracting the network time from its communication interface, keeping the time of the meter terminal consistent, and establishing a unified time reference.

[0055] The meter terminal extracts the network time from its communication interface, specifically by using any one of the following two methods or a combination of the two:

[0056] Method 1: directly obtain the communication network timestamp from the communication interface module debugging interface;

[0057] Method 2: Meter terminals send synchronization beacons to each other to obtain synchronization timestamps.

[0058] The establishment of communication interface monitoring specifically includes: setting periodic monitoring according to importance, computing processing capability, and communication transmission capability; further, triggering electricity theft analysis events by monitoring power on / off registration changes of the communication network interface module, changes in the communication network topology position, and movement of the terminal's geographical location.

[0059] The setting of the voltage drop percentage threshold specifically includes: setting a voltage drop percentage threshold d between the voltage of the total meter and the user meter's electricity data based on a unified time reference and communication interface monitoring;

[0060]

[0061] The total metering collection table data M is the voltage drop percentage of the voltage data collected by the total metering meter within a certain time range, and the household electricity consumption data N is the voltage drop percentage of the voltage data collected by the user's electricity meter within the same time range.

[0062] The determination of whether the user meter voltage has dropped is specifically as follows: if the user meter voltage has not dropped, returning to step 1-4 to continue collecting the real-time voltage information of the user meter; if the user meter voltage has dropped, performing step 1-6.

[0063] The determination of whether the voltage drop percentage of the user's meter is greater than the set percentage threshold is specifically as follows: if the voltage drop percentage of the user's meter is compared with the voltage drop percentage of the voltage data collected by the total meter at the same time scale, if it is not greater than the set percentage threshold d, then return to step 1-4 to continue collecting the real-time voltage information of the user's meter; if it is greater than the set percentage threshold, then proceed to step 1-7.

[0064] The determination of whether the voltage of other user meters under the same metering automation device has dropped is specifically as follows: if the voltage of other user meters under the same metering automation device has not dropped, it is determined that the user meter to be detected has committed electricity theft; if the voltage of other user meters under the same metering automation device has dropped, it is determined that the user meter to be detected has not committed electricity theft.

[0065] The preliminary determination of whether the electricity meter has electricity theft behavior through real-time current measurement specifically includes:

[0066] 2-1. Establish a unified timestamp;

[0067] 2-2. Establish communication interface monitoring;

[0068] 2-3. Install the metering master meter in the metering automation device and set the first difference threshold d according to the line loss situation. 2 ;

[0069] 2-4. Receive the current information I sent by the meter in real time 总 ;

[0070] 2-5. Receive the current information I sent in real time by the n user meters connected to the metering automation device 1 ,I 2 ,I 3 ……I n , n≥0;

[0071] 2-6. Calculate the sum of the real-time currents emitted by n user meters and the real-time current information I emitted by the total meter.总 The difference d 1 ;

[0072] 2-7. Determine the difference d 1 Is it greater than the preset first difference threshold d 2 , if d 1 >d 2 Then an electricity theft alarm signal is issued; otherwise, it is determined that there is no electricity theft behavior in the n user's electricity meters;

[0073] 2-8. Obtain the current values ​​of n user meters when they send out electricity theft alarm signals, and obtain a current data set P 1 = {I 1 '、I 2 '、I 3 '、···、I n '};

[0074] 2-9. Obtain the current values ​​of the n user's electric meters at the last cycle when the electric theft alarm signal is issued, and obtain the current data set P 2 = {I 1 ”、I 2 ”、I 3 "、···、I n ”};

[0075] 2-10. Calculate the data set P 1 Each element in the dataset P 2 The difference of the corresponding elements in the current difference data set P is obtained. 3 ={J 1 , J 2 , J 3 、···J n}, where J 1 =I 1 ”-I 1 ';J 2 =I 2 ”-I 2 ';···J n =I n ”-I n ';

[0076] 2-11. Data set P 3 Subtract d from each data in 1 And find the absolute value, and determine that the user's electric meter corresponding to the data with the smallest absolute value has electricity theft.

[0077] The specific solutions of 2-1, establishing a unified timestamp, and 2-2, establishing communication interface monitoring are respectively the same as 1-1, establishing a unified timestamp, and 1-2, establishing communication interface monitoring.

[0078] The further determining whether there is electricity theft in the user's electricity meter through the change of the real-time measurement of the user's electricity consumption includes: using the Euclidean distance formula to analyze, defining the user's electricity meter that is initially determined to have electricity theft as a suspected user, and determining whether the suspected user's low-power consumption time period and historical data belong to the same category. If so, the decrease in electricity consumption is caused by normal production behavior. If not, the suspected user is ultimately determined to have electricity theft based on the preliminary determination results of steps 1 and 2.

[0079] The analysis is performed using the Euclidean distance formula, specifically as follows:

[0080]

[0081] In formula (2), d(x, y) represents the power consumption data x corresponding to each moment of a cycle of the suspected user. i The electricity consumption data y at each time corresponding to the normal period in the previous year i If the value of d(x, y) exceeds 150% of the increase in the average daily electricity volume of this month and the average daily electricity volume of the same period last year, it means that x i With y i The deviation is large; if the value of d(x, y) exceeds 150% of the increase in the average daily electricity consumption of this month and the average daily electricity consumption of the same period of the previous year for N consecutive cycles, it is concluded that the suspected user does not use electricity in a standardized manner and it is speculated that there is electricity theft, N≥2; the length of the cycle is preferably 15 minutes.

[0082] A method for improving the accuracy of anti-electricity theft analysis based on real-time metering, the method also includes sending electricity theft intelligence to electricity management personnel, and controlling the lines of electricity theft users by relevant means such as power outages.

[0083] The present invention proposes a method for improving the accuracy of anti-electricity theft analysis based on real-time metering. On the basis of electric power metering automation, big data analysis and processing are performed on real-time and high-frequency electric power information under metering automation to discover the electric power theft behavior of electric power theft users and control it. It can be known from the basic principles of power measurement and electric energy metering that the user load power is related to the voltage parameter, and the user load power consumption is related to the load operation power and time. The above real-time analysis requires the establishment of millisecond-level time accuracy inside the meter and between different meters; at the same time, the electric power theft behavior usually requires the modification of the meter, and the modification of the meter is usually accompanied by the restart of the communication terminal or other network parameter changes; the present invention uses the communication network to provide an electric information collection system to monitor the time relationship between electrical characteristic parameters such as voltage, and analyzes the user's electricity consumption data in real time, and proposes a voltage anti-electricity theft method, which can use the wiring topology diagram for point-by-point comparison, and the user's electricity consumption behavior model analysis to accurately locate the electric power theft user, and determine which household or households have committed the electric power theft behavior through comparison, thereby improving efficiency.

Claims

1. A method for improving the accuracy of anti-electricity theft analysis based on real-time measurement, characterized in that The method comprises the following steps:

1. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time voltage measurement; 2. Make a preliminary judgment on whether there is electricity theft in the user's meter through real-time current measurement; 3. Further determine whether there is electricity theft in the user's meter based on the changes in the user's real-time electricity measurement; The preliminary determination of whether there is electricity theft in the electricity meter through real-time voltage measurement specifically includes the following steps: 1-1. Establish a unified timestamp; 1-2. Establish communication interface monitoring; 1-3. Set the voltage drop percentage threshold; 1-4. Collect real-time voltage information of user's electric meter; 1-5. Determine whether the voltage of the user's electric meter drops; 1-6. Determine whether the voltage drop percentage of the user's electric meter is greater than the set percentage threshold; 1-7. Obtain the voltage of other users' electric meters under the same metering automation device; 1-8. Determine whether the voltage of other users' meters under the same metering automation device has dropped; 1-9. If the voltage of other user meters under the same metering automation device does not drop, it is judged that the user meter to be tested has electricity theft; if the voltage of other user meters under the same metering automation device drops, it is judged that the user meter to be tested has no electricity theft; The method of making a preliminary determination of whether there is electricity theft in the electricity meter by real-time current measurement specifically includes the following steps: 2-1. Establish a unified timestamp; 2-2. Establish communication interface monitoring; 2-3. Install a total meter in the metering automation device and set a first difference threshold d2 according to the line loss situation; 2-4. Receive the current information I sent by the meter in real time 总 ; 2-5. Receive the current information I1, I2, I3, ... I1 sent by the n user meters connected to the metering automation device in real time. n , n≥0; 2-6. Calculate the sum of the real-time currents emitted by n user meters and the real-time current information I emitted by the total meter. 总 The difference d1; 2-7. Determine whether the difference d1 is greater than a preset first difference threshold d2, and if d1>d2, issue an electricity theft alarm signal; otherwise, determine that there is no electricity theft behavior in the n user's electricity meters; 2-8. Obtain the current values ​​of n user meters when they send out the electricity theft alarm signal, and obtain the current data set P1 = {I1', I2', I3', . . . , I n '}; 2-9. Obtain the current values ​​of the n user's electric meters in the previous cycle when the electric theft alarm signal was issued, and obtain the current data set P2 = {I1", I2", I3", ..., I n ”}; 2-10. Calculate the difference between each element in the data set P1 and the corresponding element in the data set P2 to obtain the current difference data set P3 = {J1, J2, J3, . . . J n }, where J1 = I1"-I1'; J2 = I2"-I2'; ···J n =I n ”-I n '; 2-11. Subtract d1 from each data in the data set P3 and calculate the absolute value, and determine whether the user's electric meter corresponding to the data with the smallest absolute value has electricity theft behavior; The establishing of a unified timestamp specifically includes extracting the network time from the communication interface of the meter terminal, keeping the time of the meter terminal consistent, and establishing a unified time reference; The meter terminal extracts the network time from its communication interface, specifically by using any one of the following two methods or a combination of the two: Method 1: directly obtain the communication network timestamp from the communication interface module debugging interface; Method 2: Meter terminals send synchronization beacons to each other to obtain synchronization timestamps; The method further determines whether the user's electric meter has electricity theft behavior through the change of the user's real-time electricity metering, specifically including: using the Euclidean distance formula analysis, defining the user's electric meter that is initially determined to have electricity theft behavior as a suspected user, and determining whether the suspected user's low-power consumption time period and historical data belong to the same category. If so, the power consumption decrease is caused by normal production behavior. If not, the suspected user is finally determined to have electricity theft behavior based on the preliminary determination results of step 1 and step 2; The analysis is performed using the Euclidean distance formula, specifically as follows: In formula (2), d(x, y) represents the power consumption data x corresponding to each moment of a cycle of the suspected user. i The electricity consumption data y at each time corresponding to the normal period in the previous year i If the value of d(x, y) exceeds 150% of the increase in the average daily electricity volume of this month and the average daily electricity volume of the same period last year, it means that x i With y i The deviation is large; if the value of d(x, y) exceeds 150% of the increase in the average daily electricity consumption of this month and the average daily electricity consumption of the same period last year for N consecutive cycles, it is concluded that the suspected user does not use electricity in a standardized manner and it is speculated that there is electricity theft, N≥2; the length of the cycle is 15 minutes.

2. According to claim 1, a method for improving the accuracy of anti-electricity theft analysis based on real-time measurement is characterized by: The setting of the voltage drop percentage threshold specifically includes: setting a voltage drop percentage threshold d between the voltage of the total meter and the user meter's electricity data based on a unified time reference and communication interface monitoring; The total metering collection table data M is the voltage drop percentage of the voltage data collected by the total metering meter within a certain time range, and the household electricity consumption data N is the voltage drop percentage of the voltage data collected by the user's electricity meter within the same time range.

3. The method for improving the accuracy of anti-electricity theft analysis based on real-time measurement according to claim 1 is characterized by: The determination of whether the user meter voltage has dropped is specifically as follows: if the user meter voltage has not dropped, returning to step 1-4 to continue collecting the real-time voltage information of the user meter; if the user meter voltage has dropped, performing step 1-6.

4. The method for improving the accuracy of anti-electricity theft analysis based on real-time measurement according to claim 1 is characterized by: The determination of whether the voltage drop percentage of the user's meter is greater than the set percentage threshold is specifically as follows: if the voltage drop percentage of the user's meter is compared with the voltage drop percentage of the voltage data collected by the total meter at the same time scale, if it is not greater than the set percentage threshold d, then return to step 1-4 to continue collecting the real-time voltage information of the user's meter; if it is greater than the set percentage threshold, then proceed to step 1-7.

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