CN115267645A - Error calculation method, monitoring system and equipment of low-power-factor electric energy meter - Google Patents
Error calculation method, monitoring system and equipment of low-power-factor electric energy meter Download PDFInfo
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Abstract
The invention discloses an error calculation method, a monitoring system and equipment of a low-power factor electric energy meter, which comprise the following steps: acquiring station area data, wherein the station area data are used for representing the measurement results and the state parameters of the station area general table and each station area table; determining a line loss unknown quantity according to the station area data, wherein the line loss unknown quantity is used for representing a sub-table line loss coefficient of the station area sub-table; importing the platform area data and the line loss unknown quantity into a preset line loss calculation model for iterative processing to obtain result parameters; and obtaining the error result corresponding to each station partition table according to the result parameters. The line loss coefficients corresponding to the transformer area meters can be accurately calculated, and the influence of the low power factors on error calculation of the transformer area meters is compensated based on the calculated line loss coefficients, so that high-accuracy error calculation can be realized for the low power factor electric energy meters.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an error calculation method, a monitoring system and equipment of a low-power-factor electric energy meter.
Background
With the continuous development of electrical technology, the demand for electricity is increasing, and electric energy meters are distributed in each household and become metering terminals for measuring the electricity consumption of users. The fixed service life of the electric energy meter is generally 6 to 8 years, but in practical situations, errors can occur in a part of the electric energy meter after short-term use, the metering errors are gradually increased along with the continuous use of the part of the electric energy meter, and the metering error range exceeds the metering accuracy of the electric energy meter under the condition that the replacement life is not reached. At present, the related art can detect the error of the electric energy meter so as to correct the electric energy meter again to eliminate the error, however, due to the interference of line loss, the detection method in the related art has poor error calculation accuracy for the low power factor electric energy meter, and cannot meet the requirements of the industry.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the problems of the error calculation method of the existing low power factor electric energy meter.
Therefore, the invention aims to provide an error calculation method of a low-power-factor electric energy meter.
In order to solve the technical problems, the invention provides the following technical scheme: acquiring station area data, wherein the station area data are used for representing the measurement results and the state parameters of the station area general table and each station area table;
determining a line loss unknown quantity according to the station area data, wherein the line loss unknown quantity is used for representing a sub-table line loss coefficient of the station area table;
importing the platform area data and the line loss unknown quantity into a preset line loss calculation model for iterative processing to obtain result parameters;
and obtaining the error result corresponding to each station partition table according to the result parameters.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: the station area data comprises sub-meter electric quantity data and sub-meter numbers, the sub-meter electric quantity data is used for representing electric quantity of each station area meter, and the sub-meter numbers are used for representing quantity of the station area meters.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: setting a first threshold, when the number of the station partition tables is larger than the first threshold, sequencing the sub-table electric quantity data from large to small, selecting the sub-table electric quantity data with the first threshold from front to back in the sequenced sub-table data as a first data group, and using the unselected sub-table electric quantity data as a second group of data;
the sub-table line loss coefficients corresponding to the first group of data groups are respectively set as line loss unknowns, the sub-table line loss coefficients corresponding to the second group of data groups are combined to obtain a combination result, and the combination result is set as the line loss unknowns.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: the station area data further comprises total meter electric quantity data and a metering period, the total meter electric quantity data is used for representing the electric quantity of the station area total meter, and the metering period is used for representing the interval time of continuously obtaining the total meter electric quantity data or the sub-meter electric quantity data twice;
the metering period, the total meter electric quantity data, the sub meter electric quantity data and the line loss unknown quantity are led into the line loss calculation model to obtain intermediate parameters, the parameters to be verified are confirmed according to the intermediate parameters, the parameters to be verified are verified according to preset verification conditions, and the intermediate parameters are output as result parameters under the condition that the parameters to be verified pass the verification.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: obtaining the line loss component sum parameter according to the sub-table line loss coefficient and the sub-table electric quantity data, wherein the line loss component sum parameter is used for representing the sum of line loss components corresponding to each station partition table;
and taking the line loss component sum parameter and the error parameter as the parameters to be verified.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: under the condition that the parameter to be verified is not verified, moving the largest sub-meter electric quantity data in the second data group into the first data group so as to finish updating the first data group and the second data group;
setting the line loss coefficients of the station partition tables corresponding to the updated first data group as unknown line loss quantities respectively;
and merging the line loss coefficients of the station partition tables corresponding to the updated second data group to obtain a merged result, and setting the merged result as a line loss unknown quantity.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: the verification condition is that the absolute value of the difference between the error parameter and a preset blind sample setting error value is smaller than a preset second threshold value;
and the absolute value of the difference between the line loss component sum parameter and the actual line loss rate of the transformer area is smaller than a preset third threshold value.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: establishing a low-power factor electric energy meter characteristic knowledge base according to the mapping relation between the error results corresponding to the different station area data and the line loss unknown quantity;
obtaining a corresponding error result according to the distribution room data and the line loss unknown quantity based on the low-power factor electric energy meter characteristic knowledge base;
line loss unknown quantity needs to be substituted into the basic error analysis model for solving, and the formula is as follows:
the parameters in the above formula can be obtained according to the station area data, and the parameters related to the power consumption can be represented as the electric quantity of the adjacent date, which is not described herein again, wherein P represents the total number of the station area table; i is expressed as the ith metering cycle; j is expressed as a jth station partition table; y (i) represents the power supply amount of the table area total table in the ith metering period;
representing the electricity consumption of the jth station distinguishing table in the ith metering period; epsilonjThe error rate is expressed as the relative error rate of the jth station partition table, namely the error of the user electric meter; epsilonyExpressed as the line loss rate of the transformer area; epsilon0Expressed as a station area fixed loss.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: the monitoring system comprises a monitoring device, and a district total electric meter and a district electric meter which are connected with the monitoring device.
As a preferable aspect of the error calculation method of the low power factor electric energy meter of the present invention, wherein: the monitoring device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the error calculation method of the low power factor electric energy meter when executing the computer program.
The invention has the beneficial effects that: the line loss coefficients corresponding to the transformer area meters can be accurately calculated, and the influence of the low-power factors on the error calculation of the transformer area meters is compensated based on the calculated line loss coefficients, so that the high-accuracy error calculation of the low-power factor electric energy meters can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts. Wherein:
FIG. 1 is a flow chart of an error calculation method of a low power factor electric energy meter according to the present invention.
Fig. 2 is an architecture diagram of a monitoring system of the low power factor electric energy meter of the present invention.
Fig. 3 is an architecture diagram of a monitoring device of the low power factor electric energy meter of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Furthermore, the present invention is described in detail with reference to the drawings, and for convenience of illustration, the cross-sectional views illustrating the device structure are not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the actual fabrication should include three dimensional dimensions of length, width and depth.
Example 1
Referring to fig. 1, an error calculation method of a low power factor electric energy meter includes:
acquiring station area data, wherein the station area data are used for representing measurement results and state parameters of a station area general table and each station area table; determining a line loss unknown quantity according to the station area data, wherein the line loss unknown quantity is used for representing a sub-table line loss coefficient of the station area sub-table; importing the station area data and the line loss unknown quantity into a preset line loss calculation model for iterative processing to obtain result parameters; and obtaining the error result corresponding to each station partition table according to the result parameters. After the error calculation method of the low-power-factor electric energy meter is adopted, line loss unknown quantity used for representing line loss coefficients of the table area is determined through the table area data, and the table area data and the line loss unknown quantity are led into a preset line loss calculation model to be subjected to iteration processing; due to the fact that the line loss calculation model is adopted for iteration processing, the line loss coefficients corresponding to the transformer area tables can be accurately calculated, the influence of low power factors on error calculation of the transformer area tables can be compensated based on the calculated line loss coefficients, and therefore high-accuracy error calculation can be achieved for the low power factor electric energy meter.
S100: and acquiring station area data, wherein the station area data are used for representing the measurement results and the state parameters of the station area summary table and each station area table. It should be noted that:
the station area data comprises total meter electric quantity data and a metering period, the total meter electric quantity data is used for representing the electric quantity of the station area total meter, and the metering period is used for representing the interval time of continuously obtaining the total meter electric quantity data or the sub-meter electric quantity data twice.
The metering period can be set to acquire electric quantity data of the total meter and the sub-meter of the distribution area every 24 hours, daily frozen electric quantity data of the electric quantity meters are acquired, automatic meter reading is realized by acquiring the daily frozen electric quantity data, the electric quantities metered by the total meter and the sub-meters of users of the distribution area in the same time interval are acquired, and therefore the acquired electric quantity data of the total meter is matched with the electric quantity data of the sub-meters.
The measurement result of the station area data includes, but is not limited to, total meter electric quantity data and sub-meter electric quantity data, and the state parameters of the station area data include, but are not limited to, the number of sub-meters and the metering period, wherein the sub-meter electric quantity data is used for representing the electric quantity of each station area meter, and the number of sub-meters is used for representing the quantity of the station area meters.
S200: and determining line loss unknowns according to the station area data, wherein the line loss unknowns are used for representing the sub-table line loss coefficients of the station area sub-table. It should be noted that:
s210: and under the condition that the number of the station partition tables is larger than a first threshold value, sorting the sub-table electric quantity data from large to small, selecting the sub-table electric quantity data with the number of the first threshold value from front to back in the sorted sub-table data as a first data group, and using the unselected sub-table electric quantity data as a second data group.
S220: and setting the line loss coefficients of the branch tables corresponding to the first group of data groups as line loss unknowns respectively.
S230: and merging the sub-table line loss coefficients corresponding to the second group of data sets to obtain a merged result, and setting the merged result as a line loss unknown quantity.
The unknown line loss quantity needs to be substituted into the basic error analysis model for solving, and the formula is as follows:
the parameters in the above formula can be obtained according to the station area data, and the parameters related to the power consumption can be represented as the electric quantity of the adjacent date, which is not described herein again, wherein P represents the total number of the station area table; i is expressed as the ith metering cycle; j is expressed as a jth station partition table; y (i) is expressed as the number of metering cycles in the i-thThe power supply amount of a general table of the stage area;
representing the electricity consumption of the jth station distinguishing table in the ith metering period; epsilonjExpressing the relative error rate of the jth station distinguishing table, namely the error of the user electricity meter; epsilonyExpressed as the line loss rate of the transformer area; epsilon0Expressed as the land fixed loss.
The distribution room general table is connected with each distribution room table through a power line, and according to the law of energy conservation, the sum of the actual power consumption, the sum of the line loss and the distribution room fixed loss of each distribution room table is equal to the total power supply quantity of the distribution room; the total meter electric quantity data of the station area total meter is approximately equal to the total power supply quantity of the station area, and the product of the sub-meter electric quantity data of the station area meter and the relative error rate obtains the actual power consumption quantity of the current station area meter. The line loss is obtained by multiplying the line loss rate of the station area by the total power data.
Importing the collected total meter electric quantity data and sub meter electric quantity data into a basic error analysis model according to a metering period to obtain a corresponding error equation set; therefore, the relative error rate of each transformer area table, namely the error of the user electric meter of each transformer area table, can be calculated through the error equation set, so that the relative error rate of the electric meter can be automatically calculated, whether the electric meter needs to be repaired and replaced or not can be automatically judged, and the user management is facilitated.
It should be noted that the error equation set is:
the error equations are obtained by establishing a plurality of error equations in parallel, the obtained error equations are low in order number, small in calculated amount and high in operation speed, however, if abnormal electric quantity data appear in the sub-tables, the calculation error is large, the calculation accuracy is low, and the line loss rate and the station area fixed loss value are assumed to be unchanged during model calculation, but actually, the randomness of the station area line loss rate and the station area fixed loss in a certain range is large, and the calculation accuracy is still greatly influenced.
Under the condition that the number of the station division tables is larger than a first threshold value, sorting the sub-table electric quantity data from large to small, selecting the sub-table electric quantity data with the first threshold value from front to back from the sorted sub-table electric quantity data as a first data group, using the unselected sub-table electric quantity data as a second data group, setting the sub-table line loss coefficients corresponding to the first data group as line loss unknowns respectively to ensure the accuracy of solving the line loss unknowns, combining the sub-table line loss coefficients corresponding to the second data group to obtain a combined result, setting the combined result as the line loss unknowns to reduce the calculation power requirement, and simplifying the calculation process under the condition of improving the calculation accuracy as much as possible.
Specifically, the first threshold is set to 50, that is, when the number of the station area division tables is greater than fifty, the table division line loss coefficients corresponding to the first 50 larger table division electric quantity data are selected as the line loss unknown quantity, and the table division line loss coefficients corresponding to the table division electric quantity data other than the 50 table division electric quantity data are combined to be used as the single line loss unknown quantity.
Specifically, when the number of the station partition tables is smaller than the first threshold, the line loss coefficients of the partition tables corresponding to all the station partition tables can be substituted into the basic error analysis model as the unknown line loss.
S300: and importing the station area data and the line loss unknown quantity into a preset line loss calculation model to perform iterative processing to obtain result parameters. It should be noted that:
s310: and importing the metering period, the total meter electric quantity data, the sub meter electric quantity data and the unknown line loss into a line loss calculation model to obtain intermediate parameters, and determining parameters to be verified according to the intermediate parameters. It should be noted that:
s311: and obtaining a line loss component sum parameter according to the sub-table line loss coefficient and the sub-table electric quantity data, wherein the line loss component sum parameter is used for representing the sum of line loss components corresponding to each station partition table.
S312: and taking the line loss component sum parameter and the error parameter as parameters to be verified.
And (3) introducing a KCL concept of kirchhoff law to decompose and refine the line loss.
Sum of line loss components LL (i) = ∑ Σ(From the line loss factor x square of the sub-meter capacity/interval time + the line loss factor x product of the two sub-meter capacities/interval time), the following equation is derived:
sub-table line loss coefficient betajk：
In summary, based on kirchhoff's law, the total line loss is decomposed into a plurality of line loss components related to the user table, and a mathematical expression of the total power supply amount y (i) is obtained as follows:
namely:
the method comprises the following steps that K is a group (two sub-tables), uj is the voltage of a jth station partition table, uk is the voltage of a kth group, ek is the relative error of the kth group station partition table, ej (i) is the line loss rate of the jth sub-table of an ith metering period station area, E0 (i) is the fixed loss of the line loss in the i metering period station areas, and Ey (i) is the line loss rate of the i metering period station areas.
S320: and verifying the parameters to be verified according to preset verification conditions, and outputting the intermediate parameters as result parameters under the condition that the parameters to be verified pass the verification.
The verification conditions include: the absolute value of the difference between the error parameter and the preset blind sample setting error value is smaller than a preset second threshold value; and the absolute value of the difference between the line loss component sum parameter and the actual line loss rate of the transformer area is smaller than a preset third threshold value.
Specifically, the verification conditions are satisfied at the same time to be considered as passing the verification.
Specifically, the second threshold and the third threshold may be set to 0.0001.
Further, the embodiment of the present invention does not specifically limit the second threshold and the third threshold, and the second threshold and the third threshold may be adjusted accordingly according to actual situations.
S330: and under the condition that the parameter to be verified is not verified, moving the maximum sub-meter electric quantity data in the second data group into the first data group so as to finish updating the first data group and the second data group.
S340: and setting the line loss coefficients of the station partition tables corresponding to the updated first data group as line loss unknowns respectively.
S350: and merging the line loss coefficients of the station partition tables corresponding to the updated second data group to obtain a merging result, and setting the merging result as the unknown line loss quantity.
Specifically, the line loss calculation model adopts a genetic algorithm for iterative processing.
Such as: setting line loss coefficients in line loss components corresponding to the 50-th power consumption ranking under the distribution room in the distribution room table as corresponding 50 unknown quantities, combining the line loss coefficients in the line loss components corresponding to the distribution room table into one line loss component, and setting the corresponding line loss coefficients as 1 unknown quantity; and then working out the 51 line loss coefficient unknowns and the fixed loss and the out-of-tolerance value of the electric energy meter, namely the relative error, which is 53 unknowns in total through 271 equation sets formed by the accumulated 300-day data.
After calculation, substituting the line loss coefficients in the line loss components into an equation set, solving out the out-of-tolerance value of a simulation out-of-tolerance table of the simulation system, wherein the closer the out-of-tolerance value is, the closer the parameters output by the strategy model and the solved line loss coefficients in the line loss components are to the actual values; and if the parameters output by the strategy model and the evaluation of the line loss coefficients in the line loss components obtained by solving do not reach the standard, regenerating the line loss components to carry out iteration until the evaluation requirements are met, and finishing the iteration.
S400: and obtaining the error result corresponding to each station partition table according to the result parameters.
S500: and establishing a low-power factor electric energy meter characteristic knowledge base according to the mapping relation between different station area data and the error results corresponding to the unknown line loss quantities.
S600: and obtaining a corresponding error result according to the station area data and the unknown line loss quantity based on the low power factor electric energy meter characteristic knowledge base.
Specifically, according to the electricity utilization characteristic condition of the low-power-factor user electricity utilization, the influence of the low-power-factor electric energy meter on the error calculation result is analyzed, a low-power-factor electric energy meter characteristic knowledge base is constructed according to the characteristics, and when the low-power-factor electric energy meter model is matched, efficient matching can be conducted through the knowledge base so that efficiency is improved.
Referring to fig. 1, fig. 1 is a general flowchart of an error calculation method for a low power factor electric energy meter according to an embodiment of the present invention, and it can be understood that after the error calculation method for a low power factor electric energy meter is adopted, a line loss unknown quantity used for characterizing a line loss coefficient of a transformer area table is determined through transformer area data, and the transformer area data and the line loss unknown quantity are introduced into a preset line loss calculation model for iterative processing; due to the fact that the line loss calculation model is adopted for iteration processing, the line loss coefficients corresponding to the distribution table can be accurately calculated, the influence of the low-power factor on error calculation of the distribution table can be compensated based on the calculated line loss coefficients, and therefore high-accuracy error calculation can be achieved for the low-power factor electric energy meter.
The method adopts the line loss calculation model for iterative processing, and can accurately calculate the line loss coefficients corresponding to each station zone table, thereby compensating the influence of low-power factors on the error calculation of the station zone table based on the calculated line loss coefficients, and realizing high-accuracy error calculation aiming at the low-power factor electric energy meter.
Example 2
Referring to fig. 2, an error monitoring system of a low power factor electric energy meter includes:
the monitoring system 100 includes: monitoring devices 110, district summary table 120 and a plurality of district branch tables 130, wherein, monitoring devices 110 are connected with district summary table 120 and a plurality of district branch tables 130 respectively, and monitoring devices 110 can be connected with the electric energy meter in the district, and monitoring devices 110 can gather the electric quantity data of the electric energy meter in a transformer power supply range promptly.
Specifically, the monitoring device 110 may collect daily frozen power data, voltage data, current data, and time data of the electric energy meter, so as to calculate a measurement error of the partition table 130 through the collected data, and determine whether the partition table 130 needs to be replaced.
The monitoring device 110 can manage the numbers of the electric energy meters, so that the monitoring device 110 can record the corresponding numbers and mark the numbers under the condition that the station partition table 130 is judged to be the over-differential table, and the operation and maintenance personnel can be facilitated to overhaul.
The error calculation method of the low power factor electric energy meter can be applied to a state monitoring system of the intelligent electric meter.
Example 3
Referring to fig. 3, an error monitoring apparatus of a low power factor electric energy meter includes:
the monitoring device 200 comprises a memory 210, a processor 220 and a computer program stored on the memory 210 and executable on the processor 220, wherein the processor 220 implements the error calculation method of the low power factor power meter as in the above embodiments when executing the computer program.
The memory 210 is a non-transitory computer readable storage medium, and can be used to store non-transitory software programs and non-transitory computer executable programs, such as the error calculation method of the low power factor power meter in the above embodiments of the present invention.
The processor 220 implements the error calculation method of the low power factor electric energy meter in the above embodiment of the present invention by executing the non-transitory software program and the instructions stored in the memory 210.
The memory 210 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like required to perform the error calculation method of the low power factor electric energy meter in the above-described embodiment; further, memory 210 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device.
It is noted that the memory 210 may optionally include memory 210 located remotely from the processor 220, and that such remote memory 210 may be coupled to the terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The non-transitory software programs and instructions required to implement the error calculation method of the low power factor electric energy meter in the above embodiments are stored in the memory, and when executed by one or more processors, perform the error calculation method of the low power factor electric energy meter in the above embodiments, for example, perform the above steps S100 to S400, steps S210 to S230, steps S310 to S320, steps S330 to S350, steps S311 to S312, and steps S500 to S600.
Example 4
The present embodiment is a fourth embodiment of the present invention, and is different from the first embodiment in that a verification test of an error calculation method of a low power factor electric energy meter is provided, and technical effects adopted in the method are verified and explained.
Blind sample hanging table experiments are carried out on 60 actual station areas to verify the use boundary conditions of the error calculation method of the low power factor electric energy meter in the embodiment of the invention.
Specifically, in the platform area, a total of 60 single-phase super-difference tables with errors of +/-5% and +/-3% are placed, and a total of 44 models are actually detected, wherein a total of +/-5% of blind sample tables are detected: 27/30 of the total weight of the mixture; a blind sample table of ± 3% was detected: 17/30 of the total weight of the mixture;
the first table is a blind sample table and is used for reflecting the ratio of the number of hit stations corresponding to the stations with different out-of-tolerance ranges and different electric quantities to the total number of stations:
table one:
according to the table one, the boundary conditions required by the single-phase meter by using the error calculation method of the low power factor electric energy meter of the embodiment of the invention are as follows: the boundary of the part Ib of the used amount of electricity is +/-5 percent in the range of (0.1-0.3), and the boundary of the used amount of electricity is +/-3 percent above 0.3 Ib. In the error calculation method in the prior art, the station area with the out-of-tolerance range of +/-5% cannot be effectively detected in the (0.1-0.3) Ib part, and the boundary above 0.3Ib is larger than +/-3%.
It should be noted that the above-mentioned embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An error calculation method of a low power factor electric energy meter is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
acquiring station area data, wherein the station area data are used for representing the measurement results and the state parameters of the station area general table and each station area table;
determining a line loss unknown quantity according to the station area data, wherein the line loss unknown quantity is used for representing a sub-table line loss coefficient of the station area sub-table;
importing the distribution room data and the line loss unknown quantity into a preset line loss calculation model for iterative processing to obtain result parameters;
and obtaining the error result corresponding to each station partition table according to the result parameters.
2. The method of error calculation for a low power factor electric energy meter according to claim 1, wherein: the station area data comprises sub-meter electric quantity data and sub-meter numbers, the sub-meter electric quantity data is used for representing electric quantity of each station area meter, and the sub-meter numbers are used for representing quantity of the station area meters.
3. The error calculation method of a low power factor electric energy meter according to claim 1, wherein: setting a first threshold, when the number of the table division tables is larger than the first threshold, sequencing the electric quantity data of each table division from large to small, selecting the electric quantity data of the table division with the first threshold from front to back in the sequenced electric quantity data of the table division as a first data group, and using the unselected electric quantity data of the table division as a second data group;
and respectively setting the sub-table line loss coefficients corresponding to the first group of data groups as line loss unknowns, combining the sub-table line loss coefficients corresponding to the second group of data groups to obtain a combined result, and setting the combined result as the line loss unknowns.
4. The error calculation method of a low power factor electric energy meter according to claim 1 or 2, characterized in that: the station area data further comprises total meter electric quantity data and a metering period, the total meter electric quantity data is used for representing the electric quantity of the station area total meter, and the metering period is used for representing the interval time of continuously obtaining the total meter electric quantity data or the sub-meter electric quantity data twice;
the metering period, the total meter electric quantity data, the sub meter electric quantity data and the line loss unknown quantity are led into the line loss calculation model to obtain intermediate parameters, the parameters to be verified are confirmed according to the intermediate parameters, the parameters to be verified are verified according to preset verification conditions, and the intermediate parameters are output as result parameters under the condition that the parameters to be verified pass the verification.
5. The error calculation method of a low power factor electric energy meter according to claim 4, wherein: obtaining the line loss component sum parameter according to the sub-table line loss coefficient and the sub-table electric quantity data, wherein the line loss component sum parameter is used for representing the sum of line loss components corresponding to each station partition table;
and taking the line loss component sum parameter and the error parameter as the parameters to be verified.
6. The error calculation method of a low power factor electric energy meter according to claim 4, wherein: under the condition that the parameter to be verified is not verified, the largest sub-meter electric quantity data in the second data group is shifted into the first data group so as to complete updating of the first data group and the second data group;
setting the line loss coefficients of the station partition tables corresponding to the updated first data group as line loss unknowns respectively;
and merging the line loss coefficients of the station partition tables corresponding to the updated second data group to obtain a merged result, and setting the merged result as a line loss unknown quantity.
7. The method of error calculation for a low power factor electric energy meter according to claim 4, wherein: the verification condition is that the absolute value of the difference between the error parameter and a preset blind sample setting error value is smaller than a preset second threshold value;
and the absolute value of the difference between the line loss component sum parameter and the actual line loss rate of the transformer area is smaller than a preset third threshold value.
8. The error calculation method of a low power factor electric energy meter according to claim 1, wherein:
establishing a low-power factor electric energy meter characteristic knowledge base according to the mapping relation between different station area data and error results corresponding to the unknown line loss quantities;
obtaining a corresponding error result according to the station area data and the line loss unknown quantity based on the low-power factor electric energy meter characteristic knowledge base;
line loss unknown quantity needs to be substituted into the basic error analysis model for solving, and the formula is as follows:
the parameters in the above formula can be obtained according to the station area data, and the parameters related to the power consumption can be represented as the adjacent date electric quantity, which is not described herein again, wherein P is the total number of the station area table, and i is the ith metering period; j is expressed as jth station zone table, y (i) is expressed as the power supply amount of the station zone total table in ith metering period,
expressed as electricity consumption, epsilon, in the jth table of the ith metering cyclejExpressing the relative error rate of the jth station distinguishing table, namely the error of the user electricity meter; epsilonyExpressed as the line loss rate of the cell, ε0Expressed as the land fixed loss.
9. An error monitoring system for a low power factor electric energy meter, comprising: the monitoring system (100) comprises a monitoring device (110), and a district general electric meter (120) and a district section electric meter (130) which are connected with the monitoring device (110).
10. An error monitoring device for a low power factor electric energy meter, characterized by: the monitoring device (200) comprises a memory (210), a processor (220) and a computer program stored on the memory (210) and executable on the processor (220), the processor (220) when executing the computer program implementing the method of error calculation of the low power factor electric energy meter as described above.
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