CN114325088A - System and method for automatically measuring and calculating electric quantity during metering fault period - Google Patents
System and method for automatically measuring and calculating electric quantity during metering fault period Download PDFInfo
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Abstract
The invention discloses an automatic electric quantity measuring and calculating system and method during a metering failure period, the method can automatically judge whether the electric energy meter has a metering failure by collecting and analyzing the electricity utilization freezing data of the electric energy meter of a resident user in a low-voltage distribution area, if the metering failure exists, the failure occurrence time is obtained, then the electricity consumption of the current month with the metering failure of the electric energy meter is compared and analyzed with the electricity consumption of the same month in the last year, the calculation reference value of the failure month electricity consumption is obtained by calculation by combining the capacity change of the user, finally the electricity consumption of the user during the metering failure period is obtained by calculation based on the calculation reference values of the failure occurrence time and the failure month electricity consumption, the whole calculation process is carried out automatically and intelligently, no human intervention is needed, the calculation result accuracy is high, and the automatic electric quantity measuring and calculating during the metering failure period of the electric energy meter can be realized.
Description
Technical Field
The invention relates to the technical field of power measurement, in particular to an automatic measuring and calculating system and method for electric quantity during a metering fault period.
Background
The electric energy metering is an important ring of modern electric power marketing management, and is a basis for trading and settlement of electric power commodities, whether the electric energy metering is accurate or not is directly related to economic benefits of both parties of power supply and power utilization, and faults of a metering device directly cause inaccurate metering and cause unnecessary troubles to both parties of power supply and power utilization. The electric energy meter of a low-voltage resident user is very likely to have metering faults due to the influence of various internal and external factors such as rain, snow, salt mist, frost, tide, component quality, electricity stealing and the like, and after the metering faults occur, the lost electric quantity is generally manually estimated for compensation.
Disclosure of Invention
The invention provides an automatic measuring and calculating system and method for electric quantity during a metering fault period, which aim to solve the technical problem of poor accuracy in the prior art that the electric quantity during the metering fault period is manually estimated by an electric energy meter.
According to one aspect of the invention, an automatic measuring and calculating method for electric quantity during metering failure is provided, and comprises the following steps:
collecting power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data, and acquiring fault occurrence time;
comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption of the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
and calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
Further, the process of collecting the electricity consumption freezing data of the electric energy meter and judging whether the electric energy meter has the metering fault according to the electricity consumption freezing data specifically comprises the following steps:
acquiring the positive active electric energy freezing indicating values of the low-voltage residential user electric energy meter in the first day and the second day, comparing and analyzing the positive active electric energy freezing indicating values in the two days by adopting a K-means clustering algorithm, and judging whether the electric energy meter has metering faults or not according to the analysis result.
Further, when the forward active electric energy freezing indication value of the electric energy meter in the first day is larger than the forward active electric energy freezing indication value in the second day, the electric energy meter is judged to have a backward walking fault state; when the electricity consumption of the electric energy meter on the same day is larger than the product of the power extreme value of the electric energy meter on the same day and the electricity consumption time of the electric energy meter on the same day, judging that the electric energy meter has a flying fault state; when the voltage and the current of the electric energy meter are normal, the forward active electric energy freezing indication value on the first day is equal to the forward active electric energy freezing indication value on the second day, and the electric energy meter is judged to have a stop-walking fault state.
Further, the fault type can be judged while the metering fault of the electric energy meter is judged, and the specific judgment process of the fault type is as follows:
the voltage freezing data of the electric energy meter on the day of metering failure is obtained, the voltage freezing data is compared with the residential electricity consumption voltage standard for analysis, if the voltage of any freezing point is lower than 190V, the voltage of a user is judged to be too low, and if the voltage of any freezing point is higher than 260V, the voltage of the user is judged to be too high; the method comprises the steps of obtaining current freezing data of the electric energy meter on the day when a metering fault occurs, comparing and analyzing the current freezing data with historical current values, judging that the current of a user is over-current if the maximum value in the current freezing data is larger than 1.2 times of the rated maximum current value of the electric energy meter, and judging that the current of the user stops running if the forward active electric energy freezing indication value of the electric energy meter on the first day is equal to the forward active electric energy freezing indication value of the electric energy meter on the second day and the current freezing data of the electric energy meter are not 0.
Further, if the user increases the capacity, the power consumption of the current month with the metering failure of the electric energy meter is used as the calculation reference value of the monthly power consumption with the failure, and if the user does not increase the capacity, the larger one of the power consumption of the current month with the metering failure of the electric energy meter and the monthly power consumption of the same period in the last year is used as the calculation reference value of the monthly power consumption with the failure.
Further, the process of calculating the electricity consumption of the user during the metering failure based on the calculation reference values of the failure occurrence time and the failure monthly electricity consumption is specifically as follows:
and calculating the daily average fault electricity consumption based on the calculation reference value of the fault monthly electricity consumption, calculating the electricity consumption time of the user in the metering fault period based on the fault occurrence time, and calculating the electricity consumption of the user in the metering fault period based on the daily average fault electricity consumption and the electricity consumption time of the user in the metering fault period.
Further, the following contents are also included:
and visually displaying the calculation result.
In addition, the invention also provides an automatic measuring and calculating system for electric quantity during metering failure, which comprises:
the fault judgment module is used for acquiring power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data and acquiring fault occurrence time;
the first calculation module is used for comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption in the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
and the second calculation module is used for calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
The invention has the following effects:
the method for automatically measuring and calculating the electric quantity during the metering failure period can automatically judge whether the electric energy meter has the metering failure or not by collecting and analyzing the electricity utilization freezing data of the electric energy meter of the resident users in the low-voltage distribution area, acquire the failure occurrence time if the metering failure exists, then compare and analyze the electricity consumption of the current month with the electricity consumption of the same month in the last year after the metering failure of the electric energy meter, calculate and obtain the calculation reference value of the failed month electricity consumption by combining the capacity change of the users, and finally calculate and obtain the electricity consumption of the users during the metering failure period based on the calculation reference values of the failure occurrence time and the failed month electricity consumption.
In addition, the automatic electricity quantity measuring and calculating system during the metering fault period also has the advantages.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of an automatic electricity quantity measuring and calculating method during metering failure according to a preferred embodiment of the invention.
Fig. 2 is a schematic flow chart illustrating an automatic power measuring and calculating method during a metering failure according to another embodiment of the invention.
Fig. 3 is a schematic block diagram of an automatic power measuring and calculating system during a metering failure according to another embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the accompanying drawings, but the invention can be embodied in many different forms, which are defined and covered by the following description.
As shown in fig. 1, a first embodiment of the present invention provides an automatic power measuring and calculating method during a metering failure (i.e., a method for automatically measuring and calculating power consumption during a metering failure), which includes the following steps:
step S1: collecting power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data, and acquiring fault occurrence time;
step S2: comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption of the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
step S3: and calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
It can be understood that, in the method for automatically measuring and calculating the electricity consumption during the metering failure period of the present embodiment, by collecting and analyzing the electricity consumption freezing data of the electric energy meter of the residential users in the low voltage distribution area, it can automatically determine whether the electric energy meter has the metering failure, if so, the failure occurrence time is obtained, then the electricity consumption of the month with the metering failure of the electric energy meter and the electricity consumption of the month in the same period of the last year are compared and analyzed, and the calculation reference value of the failed month electricity consumption is calculated and obtained by combining the capacity change of the users, and finally the electricity consumption of the users during the metering failure period is calculated and obtained based on the calculation reference values of the failure occurrence time and the failed month electricity consumption.
It can be understood that the process of collecting the electricity utilization freezing data of the electric energy meter in step S1 and determining whether the electric energy meter has a metering fault according to the electricity utilization freezing data specifically includes the following steps:
acquiring the positive active electric energy freezing indicating values of the low-voltage residential user electric energy meter in the first day and the second day, comparing and analyzing the positive active electric energy freezing indicating values in the two days by adopting a K-means clustering algorithm, and judging whether the electric energy meter has metering faults or not according to the analysis result.
Specifically, the positive active electric energy freezing indication value of 24 points of the low-voltage resident electric energy meter or the HPLC electric energy meter in T-1 day can be obtained, the positive active electric energy freezing indication value is compared with the positive active electric energy freezing indication value of 24 points of the electric energy meter in T-2 days, and the metering fault states of the low-voltage resident electric energy meter, such as the backward running state, the flying state, the stopping state and the like, are determined by adopting a K-means clustering algorithm. For example, when the forward active electric energy freezing indication value of the electric energy meter on the first day is larger than the forward active electric energy freezing indication value on the second day, the electric energy meter is judged to have a backward walking fault state; when the electricity consumption of the electric energy meter on the same day is larger than the product of the power extreme value of the electric energy meter on the same day and the electricity consumption time of the electric energy meter on the same day, judging that the electric energy meter has a flying fault state; when the voltage and the current of the electric energy meter are normal, the forward active electric energy freezing indication value on the first day is equal to the forward active electric energy freezing indication value on the second day, and the electric energy meter is judged to have a stop-walking fault state.
Optionally, in step S1, the method may further determine a fault type while determining that the electric energy meter has the metering fault, where the specific determination process of the fault type is as follows:
the voltage freezing data of the electric energy meter on the day with the metering failure is obtained, the voltage freezing data is compared with the voltage standard of the residential electricity consumption for analysis, if the voltage of any freezing point is lower than 190V, the voltage of a user is judged to be too low, and if the voltage of any freezing point is higher than 260V, the voltage of the user is judged to be too high. For example, voltage freezing data of four points of the non-HPLC electric energy meter at 7, 11, 15 and 19 or voltage freezing data of 24 points of the HPLC electric energy meter are collected and compared with voltage standards of residential users (voltage deviation + 7%, -10%), if any one of the voltages of the non-HPLC electric energy meter at the four freezing time points or the voltages of the HPLC electric energy meter at the 24 freezing time points is lower than 190V, the user voltage is determined to be too low, and if any one is higher than 260V, the user voltage is determined to be too high.
In addition, current freezing data of the electric energy meter on the day of metering failure can be obtained, the current freezing data and historical current values are compared and analyzed, if the maximum value in the current freezing data is larger than 1.2 times of the rated maximum current value of the electric energy meter, the user current is judged to be overcurrent, if the positive active electric energy freezing indication value of the electric energy meter on the first day is equal to the positive active electric energy freezing indication value of the electric energy meter on the second day, and the current freezing data of the electric energy meter are not 0, the user current is judged to stop. For example, the current values of the non-HPLC electric energy meter at four points of 7, 11, 15 and 19 or the current values of the HPLC electric energy meter at 24 points are collected and compared with historical current values for analysis, if the maximum value of the current values of the non-HPLC electric energy meter at four points or the current values of the HPLC electric energy meter at 24 points is greater than 1.2 times of the maximum rated current value of the electric energy meter, it is determined that the user current is overcurrent, and if the forward active electric energy freeze indication value of the electric energy meter in T-1 day is equal to the forward active electric energy freeze indication value in T-2 days, the current value of any point is not 0, it is determined that the user current stops.
It can be understood that, in the step S2, the power consumption of the electric energy meter in the current month with the metering failure is compared with the power consumption of the previous month in the same period of the same year by combining the user capacity change and the seasonal power consumption condition, if the user capacity is increased, the power consumption of the electric energy meter in the current month with the metering failure is used as the calculation reference value of the power consumption of the failure month, and if the user capacity is not increased, the larger one of the power consumption of the electric energy meter in the current month with the metering failure and the power consumption of the previous month in the same period of the same year is used as the calculation reference value of the power consumption of the failure month.
It can be understood that step S3 specifically includes:
and calculating the daily average fault electricity consumption based on the calculation reference value of the fault monthly electricity consumption, calculating the electricity consumption time of the user in the metering fault period based on the fault occurrence time, and calculating the electricity consumption of the user in the metering fault period based on the daily average fault electricity consumption and the electricity consumption time of the user in the metering fault period.
In addition, as shown in fig. 2, in another embodiment of the present invention, the method for automatically measuring and calculating the amount of electricity during the metering failure further includes the following steps:
step S4: and visually displaying the calculation result.
In addition, information such as the power supply unit, the collection point name, the user number and name, the electric energy meter assets of the user, the electricity utilization freezing data of the user and the like can be visually displayed.
In addition, as shown in fig. 3, another embodiment of the present invention further provides an automatic power measuring and calculating system during a metering failure (i.e. a system for automatically measuring and calculating power consumption during a metering failure), which preferably adopts the method as described above, and the system includes:
the fault judgment module is used for acquiring power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data and acquiring fault occurrence time;
the first calculation module is used for comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption in the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
and the second calculation module is used for calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
It can be understood that, in the automatic electricity quantity measuring and calculating system during the metering failure period of the embodiment, by collecting and analyzing the electricity consumption freezing data of the electric energy meter of the resident users in the low-voltage distribution area, it can automatically judge whether the electric energy meter has the metering failure, if so, the failure occurrence time is obtained, then, the electricity consumption of the month with the metering failure of the electric energy meter is compared and analyzed with the electricity consumption of the month in the same period of the last year, and the calculation reference value of the failed month electricity consumption is calculated and obtained by combining the capacity change of the users, finally, the electricity consumption of the users during the metering failure period is calculated and obtained based on the calculation reference values of the failure occurrence time and the failed month electricity consumption, the whole calculation process is automated and intelligent, no human intervention is needed, the accuracy of the calculation result is high, and the automatic electricity consumption measuring and calculating during the metering failure period of the electric energy meter can be realized.
In addition, the system further comprises:
and the visual display module is used for visually displaying the calculation result.
It can be understood that each module in the system of this embodiment corresponds to each step in the foregoing method embodiment, so that the specific working process and working principle of each module are not described herein again, and reference may be made to the foregoing method embodiment.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An automatic measuring and calculating method for electric quantity during metering failure is characterized by comprising the following steps:
collecting power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data, and acquiring fault occurrence time;
comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption of the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
and calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
2. The method for automatically measuring and calculating the electric quantity during the metering failure period according to claim 1, wherein the process of collecting the electricity utilization freezing data of the electric energy meter and judging whether the electric energy meter has the metering failure according to the electricity utilization freezing data specifically comprises the following steps:
acquiring the positive active electric energy freezing indicating values of the low-voltage residential user electric energy meter in the first day and the second day, comparing and analyzing the positive active electric energy freezing indicating values in the two days by adopting a K-means clustering algorithm, and judging whether the electric energy meter has metering faults or not according to the analysis result.
3. The method for automatically measuring and calculating the electric quantity during the metering failure as claimed in claim 2, wherein when the forward active electric energy freezing indication value of the electric energy meter on the first day is larger than the forward active electric energy freezing indication value on the second day, the electric energy meter is judged to have a backward fault state; when the electricity consumption of the electric energy meter on the same day is larger than the product of the power extreme value of the electric energy meter on the same day and the electricity consumption time of the electric energy meter on the same day, judging that the electric energy meter has a flying fault state; when the voltage and the current of the electric energy meter are normal, the forward active electric energy freezing indication value on the first day is equal to the forward active electric energy freezing indication value on the second day, and the electric energy meter is judged to have a stop-walking fault state.
4. The method for automatically measuring and calculating the electric quantity during the metering failure as claimed in claim 3, wherein the method can also determine the failure type while determining the metering failure of the electric energy meter, and the specific determination process of the failure type is as follows:
the voltage freezing data of the electric energy meter on the day of metering failure is obtained, the voltage freezing data is compared with the residential electricity consumption voltage standard for analysis, if the voltage of any freezing point is lower than 190V, the voltage of a user is judged to be too low, and if the voltage of any freezing point is higher than 260V, the voltage of the user is judged to be too high; the method comprises the steps of obtaining current freezing data of the electric energy meter on the day when a metering fault occurs, comparing and analyzing the current freezing data with historical current values, judging that the current of a user is over-current if the maximum value in the current freezing data is larger than 1.2 times of the rated maximum current value of the electric energy meter, and judging that the current of the user stops running if the forward active electric energy freezing indication value of the electric energy meter on the first day is equal to the forward active electric energy freezing indication value of the electric energy meter on the second day and the current freezing data of the electric energy meter are not 0.
5. The method for automatically measuring and calculating the electric quantity during the metering failure as claimed in claim 1, wherein if the user increases the capacity, the electric quantity used in the month when the electric energy meter has the metering failure is taken as the calculation reference value of the monthly electric quantity with the failure, and if the user does not increase the capacity, the larger of the electric quantity used in the month when the electric energy meter has the metering failure and the monthly electric quantity used in the same period of the previous year is taken as the calculation reference value of the monthly electric quantity with the failure.
6. The method for automatically measuring and calculating the electricity consumption during the metering failure as claimed in claim 1, wherein the process of calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the reference value of the monthly electricity consumption of the failure is specifically as follows:
and calculating the daily average fault electricity consumption based on the calculation reference value of the fault monthly electricity consumption, calculating the electricity consumption time of the user in the metering fault period based on the fault occurrence time, and calculating the electricity consumption of the user in the metering fault period based on the daily average fault electricity consumption and the electricity consumption time of the user in the metering fault period.
7. The method for automatically measuring and calculating power during metering failure according to claim 1, further comprising the following steps:
and visually displaying the calculation result.
8. An automatic power measurement and calculation system during metering failure, comprising:
the fault judgment module is used for acquiring power utilization freezing data of the electric energy meter, judging whether the electric energy meter has a metering fault according to the power utilization freezing data and acquiring fault occurrence time;
the first calculation module is used for comparing and analyzing the power consumption of the electric energy meter in the current month with the power consumption in the same month in the last year after the metering failure, and calculating to obtain a calculation reference value of the failed power consumption in the month by combining the capacity change of the user;
and the second calculation module is used for calculating the electricity consumption of the user during the metering failure based on the failure occurrence time and the calculation reference value of the monthly electricity consumption of the failure.
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