CN111693928A - Electric energy meter metering error calculation method and device and computer equipment - Google Patents
Electric energy meter metering error calculation method and device and computer equipment Download PDFInfo
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Abstract
The invention provides a method, a device and computer equipment for calculating metering errors of an electric energy meter, wherein the method comprises the steps of obtaining zone parameters of the electric energy meter to be calculated, wherein the zone parameters comprise zone identification information, zone total power consumption metering value increment and power consumption metering value increment of each electric energy meter; searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss; and substituting the increment of the total power consumption metering value of the transformer area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter. The electric energy meter metering error calculation method can quickly calculate the electric energy meter metering error value, and is good in real-time performance, high in accuracy and high in efficiency.
Description
Technical Field
The invention relates to the technical field of electric energy meter error measurement, in particular to a method and a device for calculating metering error of an electric energy meter, computer equipment and a storage medium.
Background
The intelligent electric energy meter is an important component of an intelligent power grid and is also a basis for power grid operation control and trade settlement of power supply and power utilization parties, and the metering result of the intelligent electric energy meter is directly related to the safety of the power grid and whether the trade settlement of the power grid and the power supply and power utilization parties is fair and reasonable, so that the judgment of the operation error state of the intelligent electric energy meter is particularly important. At present, a professional carries equipment to a field regularly to perform periodic spot inspection, which is a main way for a power company to verify whether an intelligent electric energy meter is accurate or not. In addition, the existing intelligent electric energy meter generally adopts an expiration rotation mode, but actually, the metering error of the electric energy meter about to face the expiration rotation does not change greatly after running for many years, and the electric energy meter can still work normally. The 'one-cutting' expiration alternation of the electric energy meter is obviously unreasonable, and can cause great waste of manpower and material resources. With the expansion of the scale of the power grid, the metering points of the intelligent electric energy meter are continuously increased, and more than 5 hundred million electric energy meters are operated in China. The existing checking mode is high in working strength, long in checking period and low in management efficiency, and the requirements of state overhaul and replacement of the intelligent electric meter are difficult to meet. In order to realize the mode change from the regular replacement to the state replacement of the intelligent electric energy meter, improve the detection efficiency, reduce the cost of manpower and material resources and ensure the accuracy of metering, an efficient and accurate real-time online estimation method for the operation error of the intelligent electric energy meter is imperative to be searched.
Disclosure of Invention
In view of this, the invention provides a method, an apparatus, a computer device and a storage medium for calculating a metering error of an electric energy meter, which are used to solve the technical problems of poor real-time performance and low detection efficiency of the existing electric energy meter detection method.
A method for calculating metering errors of an electric energy meter comprises the following steps:
acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter;
searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the electric energy meter metering error calculation model to calculate the metering error value of each sub-electric energy meter.
Further, the air conditioner is provided with a fan,
the establishment of the electric energy meter metering error calculation model comprises the following steps:
acquiring the increment of a historical total power consumption metering value of a transformer area, the increment of a historical power consumption metering value of each sub-watt electric energy meter and a historical line loss value;
based on the law of conservation of energy, establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
respectively solving parameters to be solved and error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter;
comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting the first-order error model or the second-order error model as the metering error calculation model of the electric energy meter according to the comparison result, identifying the metering error calculation model of the electric energy meter by using station area identification information, and storing the identified station area identification information into the electric energy meter error database.
Further, the air conditioner is provided with a fan,
the metering error value comprises a first-order metering error value and a second-order metering error value; the step of selecting the first order error model or the second order error model as the electric energy meter metering error calculation model according to the comparison result comprises the following steps:
respectively comparing a first-order metering error value and a second-order metering error value of each sub-electric energy meter with a preset error threshold value, and selecting the first-order error model as the electric energy meter metering error calculation model when the number of the sub-electric energy meters of which the first-order calculation error value is greater than the preset error threshold value is greater than the number of the sub-electric energy meters of which the second-order calculation error value is greater than the preset error threshold value;
and otherwise, selecting the second-order error model as the electric energy meter metering error calculation model.
Further, the air conditioner is provided with a fan,
the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the loss value of the historical line and the historical fixed loss based on the law of conservation of energy, and comprises the following steps:
the first order error model is built using the following equation:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
Further, the air conditioner is provided with a fan,
the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the loss value of the historical line and the historical fixed loss based on the law of conservation of energy, and comprises the following steps:
the second order error model is established using the following equation:
wherein the content of the first and second substances,E0representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
Further, the air conditioner is provided with a fan,
the step of respectively solving the error parameters of the first-order error model and the second-order error model by adopting an LM algorithm comprises the following steps:
calculating parameters to be solved according to LM algorithm0And error coefficient mui、αiAnd βi。
Further, the air conditioner is provided with a fan,
in the step of obtaining the historical line loss value, the method comprises the following steps:
obtaining branch impedance and real-time working current of each line in a transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
An electric energy meter metering error calculation device, comprising:
the distribution room parameter acquisition module is used for acquiring distribution room parameters of the electric energy meter to be calculated, wherein the distribution room parameters comprise distribution room identification information, distribution room total electricity consumption metering value increment, each sub-electric energy meter electricity consumption metering value increment and line loss value;
the error calculation model searching module is used for searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and the metering error value calculation module is used for substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps when executing the program of:
acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter;
searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the electric energy meter metering error calculation model to calculate the metering error value of each sub-electric energy meter.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter;
searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the electric energy meter metering error calculation model to calculate the metering error value of each sub-electric energy meter.
Firstly, acquiring a platform area parameter of an electric energy meter to be calculated, wherein the platform area parameter comprises platform area identification information, platform area total power consumption metering value increment and each sub-electric energy meter power consumption metering value increment, and then searching an electric energy meter metering error calculation model corresponding to the platform area identification information according to the platform area identification information, wherein the electric energy meter metering error calculation model is established according to the platform area historical total power consumption metering value increment, each sub-electric energy meter historical power consumption metering value increment, historical line loss value and historical fixed loss by adopting an LM algorithm; and substituting the increment of the total power consumption metering value of the transformer area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter. The electric energy meter metering error calculation method can quickly calculate the electric energy meter metering error value and has the advantages of good real-time performance, high accuracy, low cost, high efficiency and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating a method for calculating a metering error of an electric energy meter according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for establishing a metering error calculation model of an electric energy meter according to an embodiment of the invention;
FIG. 3 is a diagram illustrating a first-order metrology error value calculated by the first-order error model according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a first order error coefficient of a second order error model according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating second-order error coefficients of a second-order error model according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating a second order error value calculated by the second order error model according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an apparatus for calculating a metering error of an electric energy meter according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to explain the present invention in more detail, the following describes an electric energy meter metering error calculation method, an electric energy meter metering error calculation device, a computer device and a storage medium provided by the present invention in detail with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for calculating a metering error of an electric energy meter according to an embodiment of the present invention, and as shown in fig. 1, the method for calculating a metering error of an electric energy meter according to an embodiment of the present invention mainly includes the following steps:
step S102, obtaining a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter;
the power distribution area refers to a power supply range or area of one transformer in the power system. One station area comprises a plurality of electric energy meters which are respectively marked as branch electric energy meters. In this embodiment, the metering error value of each electric energy meter in the distribution area is calculated by taking the distribution area as a unit when the metering error value of the electric energy meter is calculated.
Step S104, searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
the station area identification information refers to the content which can be used for marking the station area with a unique mark, and an electric energy meter metering error calculation model corresponding to a certain station area is conveniently indexed from an electric energy meter error database. The station area identification information may be an identifier, a code, or the like.
The electric energy meter error database is mainly used for storing electric energy meter metering error calculation models of all the transformer areas. The electric energy meter error database can be an internal database of the electric energy meter metering error calculation method execution main body, and can also be a database of other equipment (including local data, a cloud database and the like).
The electric energy meter calculation error calculation model is a model established based on the law of conservation of energy according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss, and then the LM algorithm is adopted to calculate the relevant parameters of the model, so that the electric energy meter calculation error calculation model is finally obtained.
The LM (Levenberg-Marquardt) algorithm, i.e. the optimization algorithm, i.e. the parameter vector is found that minimizes the function value. In the embodiment, the LM algorithm is adopted to calculate and find out the relevant parameters of the calculation model of the calculation error of the electric energy meter, so that the model can be more accurate.
And S106, substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the electric energy meter metering error calculation model to calculate the metering error value of each sub-electric energy meter.
The increment refers to a difference value between the current reading of the electric meter and the previous reading of the electric meter. The increment of the total electricity consumption metering value of the distribution area refers to the difference value between the current total electricity consumption metering value and the last total electricity consumption metering value of the distribution area. The increment of the power consumption metering value of each sub-electric energy meter is the difference value of the current power consumption metering value and the last power consumption metering value of each sub-electric energy meter in the station area. This time here means the latest time before the metering error calculation is performed on the electric energy meter.
In addition, the total electricity consumption metering value of the district is approximately obtained by the metering value of the total electric energy meter of the district.
The method comprises the steps of firstly obtaining a station area parameter of the electric energy meter to be calculated, wherein the station area parameter comprises station area identification information, station area total power consumption metering value increment and each sub-electric energy meter power consumption metering value increment, and then searching an electric energy meter metering error calculation model corresponding to the station area parameter according to the station area identification information, wherein the electric energy meter metering error calculation model is established according to the station area historical total power consumption metering value increment, each sub-electric energy meter historical power consumption metering value increment, historical line loss value and historical fixed loss by adopting an LM algorithm; and substituting the increment of the total power consumption metering value of the transformer area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter. The electric energy meter metering error calculation method can quickly calculate the electric energy meter metering error value and has the advantages of good real-time performance, high accuracy, low cost, high efficiency and the like.
In one embodiment, as shown in fig. 2, the establishment of the electric energy meter metering error calculation model includes:
step S202, obtaining the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt meter and the loss value of a historical line;
the electric energy meter calculation error calculation model is constructed by using historical data related to the distribution room. The related historical data comprises the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each power distribution meter and the historical line loss value.
Step S204, based on the law of conservation of energy, establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt electric meter, the loss value of a historical line and the historical fixed loss;
specifically, the first-order and second-order error models are established based on the energy conservation law, namely, the total power supply quantity of a transformer area is equal to the sum of the power consumption of each branch by using the topological analysis of the transformer area, and the metering errors, the line loss and the fixed loss of the transformer area of each electric energy meter are comprehensively considered.
Step S206, solving parameters to be solved and error coefficients of the first-order error model and the second-order error model respectively by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter;
after the first-order and second-order error models are constructed, the related unknown parameters in the first-order and second-order error models need to be solved and calculated. In this embodiment, an LM algorithm is used to solve the band solution parameters and error coefficients of the first-order and second-order error models, where the band solution parameters include the station area historical fixed loss, and the error system includes the error coefficients corresponding to the first-order error model and the error coefficients corresponding to the second-order error model, where the error coefficients are mainly used to calculate the metering error values of the sub-electric energy meters.
And S208, comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting a first-order error model or a second-order error model as an electric energy meter metering error calculation model according to the comparison result, identifying the electric energy meter metering error calculation model by station area identification information, and storing the identified station area identification information into an electric energy meter error database.
After the error coefficients are obtained, the metering error values of the sub-electric energy meters are respectively calculated, wherein each sub-electric energy meter has two metering errors (namely the metering errors respectively calculated according to a first-order error model and a second-order error model), then the metering errors are compared, and the first-order error model or the second-order error model is selected as the electric energy meter metering error calculation model according to the comparison result. Specifically, an error model with higher accuracy is selected as an electric energy meter metering error calculation model, namely, a model closer to the actual situation of the station area is selected according to the calculation result and is used as a model for solving the metering error values of the electric energy meters in the station area in real time in the future.
The method for establishing the electric energy meter metering error calculation model firstly establishes a first-order error calculation model and a second-order error calculation model, the two models are based on the energy conservation law, the total power supply quantity of a transformer area is approximately obtained according to the total metering value of the transformer area, the electric energy meter metering error, the line loss and the fixed loss of the transformer area are comprehensively considered to be established, for a certain transformer area, the method selects a model closer to the actual condition of the transformer area (namely, an error model with higher accuracy) according to the data characteristics to solve, and the method can be better suitable for the conditions of different transformer areas.
In one embodiment, the metering error value comprises a first order metering error value and a second order metering error value; the step of selecting the first order error model or the second order error model as the electric energy meter metering error calculation model according to the comparison result comprises the following steps:
respectively comparing the first-order metering error value and the second-order metering error value of each sub-electric energy meter with a preset error threshold value, and selecting a first-order error model as an electric energy meter metering error calculation model when the number of sub-electric energy meters with the first-order calculation error values larger than the preset error threshold value is larger than the number of sub-electric energy meters with the second-order calculation error values larger than the preset error threshold value;
and otherwise, selecting a second-order error model as a metering error calculation model of the electric energy meter.
Specifically, the metering error value includes a first-order metering error value and a second-order metering error value, the metering error calculated according to the first-order error model is recorded as a first-order metering error value, and the metering error calculated according to the second-order error model is recorded as a second-order metering error value.
And respectively comparing the first-order metering error value and the second-order metering error value of each sub-electric energy meter with a preset error threshold value, and then counting the number of the sub-electric energy meters exceeding the preset error threshold value. If the number of the first-order metering error values exceeding the preset error threshold is more than the number of the second-order metering error values exceeding the preset error threshold, the first-order metering error values are more accurate, namely, the first-order error model is more accurate; and if the error is positive, the second-order error model is more accurate. By adopting the method, the established electric energy meter metering error calculation model can be more accurate, so that the electric energy meter metering error value calculated according to the electric energy meter metering error calculation model is more accurate.
In addition, the preset error threshold is preset, and may be a point value or a range value. The threshold value cannot be set too large or too small under normal conditions, and a preset error threshold value with high precision cannot be found conveniently when the threshold value is too large or too small. Typically, the preset error threshold may be ± 2%.
For ease of understanding, detailed embodiments are presented. And (3) solving the first-order error model and the second-order error model by adopting an LM algorithm to obtain an error coefficient mu of each sub-meter measurementi(as shown in FIG. 3), αi(as shown in FIG. 4) and βi(as shown in fig. 5). Wherein, the first-order measurement error value of each sub-table is mui(as shown in FIG. 3), each sub-table second order metric error value is αi+βi·Ei(as shown in fig. 6). Comparing the results shown in fig. 3 and fig. 6, the result obtained by solving the second order model is that the electric energy meters exceeding the error limit of ± 2% are too many, which is contrary to the fact that most electric energy meters in the distribution room belong to normal meters, so the first order model is selected as the error solving model of the distribution room.
In one embodiment, the step of establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each power distribution meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy comprises the following steps:
a first order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiRepresents the error coefficient, wline_lossRepresenting historical line loss values.0Usually unknown values, i.e. belonging to the parameters to be solved.
In one embodiment, the step of establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each power distribution meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy comprises the following steps:
a second order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In addition, the first and second substrates are,0usually unknown values, i.e. belonging to the parameters to be solved.
In one embodiment, the step of solving the parameters to be solved and the error coefficients of the first-order error model and the second-order error model respectively by using the LM algorithm includes:
calculating parameters to be solved according to LM algorithm0And error coefficient mui、αiAnd βi。
Specifically, the LM algorithm is a parameter optimization algorithm, and an unknown parameter approximate solution can be found by iterative optimization calculation, and the algorithm flow is as follows:
step 1: taking an initial point p0,p0Expressing an equation unknown parameter vector of random initialization; an indication termination control constant (the iteration termination control constant is used for judging whether the iteration process is cut off), wherein k represents the iteration number, and an initial value k is 0; lambda [ alpha ]0Denotes the initial step size, λ0＝10-3(ii) a v represents a step expansion coefficient, and in this embodiment, v is equal to 10 (or may be another number greater than 1), and:0＝‖x-f(p0)‖
step 2: computing Jacobi matrix JkAnd calculating:
constructing an increment normal equation:
and step 3: solving the normal equation of the increment to obtaink。
(1) If | < x-f (p)k+k)‖＜kThen let pk+1＝pk+kIf |)k| <, stopping iteration and outputting a result; otherwise, let λk+1＝ν·λkTurning to the step 2;
(2) if | < x-f (p)k+k)‖＜kThen let the normal equation of increment getkAnd returning to the step 1.
In one embodiment, the step of obtaining the historical line loss value comprises:
obtaining branch impedance and real-time working current of each line in the transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
The embodiment of the invention discloses a method for calculating the metering error of the electric energy meter in detail, and the method disclosed by the invention can be realized by adopting equipment in various forms, so the invention also discloses a device for calculating the metering error of the electric energy meter corresponding to the method, and the specific embodiment is given below for detailed description.
Referring to fig. 7, a device for calculating a measurement error of an electric energy meter according to an embodiment of the present invention mainly includes:
a distribution room parameter obtaining module 702, configured to obtain distribution room parameters of the electric energy meter to be calculated, where the distribution room parameters include distribution room identification information, distribution room total power consumption metering value increments, power consumption metering value increments of each sub-electric energy meter, and line loss values;
the error calculation model searching module 704 is used for searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and the metering error value calculating module 706 is configured to substitute the increment of the total power consumption metering value of the distribution room and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculating model of the electric energy meter to calculate the metering error value of each sub-electric energy meter.
In one embodiment, the method comprises the following steps:
the historical data acquisition module is used for acquiring the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt electric energy meter and the historical line loss value;
the error model establishing module is used for establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt electric meter, the historical line loss value and the historical fixed loss based on the law of energy conservation;
the parameter coefficient solving module is used for respectively solving the parameters to be solved and the error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter;
and the error calculation model establishing module is used for comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting a first-order error model or a second-order error model as an electric energy meter metering error calculation model according to a comparison result, identifying the electric energy meter metering error calculation model by using the station area identification information, and storing the identified station area identification information into an electric energy meter error database.
In one embodiment, the metering error value comprises a first order metering error value and a second order metering error value;
the error calculation model establishing module is also used for respectively comparing the first-order and second-order measurement error values of the sub-electric energy meters with a preset error threshold value, and when the number of the sub-electric energy meters with the first-order measurement error values larger than the preset error threshold value is larger than the number of the sub-electric energy meters with the second-order measurement error values larger than the preset error threshold value, selecting the first-order error model as the electric energy meter measurement error calculation model; and otherwise, selecting a second-order error model as a metering error calculation model of the electric energy meter.
In one embodiment, the error model building module comprises a first order error model building module:
the first-order error model establishing module is used for establishing a first-order error model by adopting the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one embodiment, the error model building module comprises a second order error model building module:
the second-order error model establishing module is used for establishing a second-order error model by adopting the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one embodiment, the parameter coefficient solving module is further configured to calculate according to the LM algorithmParameters to be solved0And error coefficient mui、αiAnd βi。
In one embodiment, further comprising:
the historical line loss value calculation module is used for acquiring the branch impedance and the real-time working current of each line in the transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
For specific limitations of the electric energy meter metering error calculation device, reference may be made to the above limitations of the electric energy meter metering error calculation method, and details are not repeated here. All or part of each module in the electric energy meter metering error calculation device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
An embodiment of the present invention further provides a computer device, where the computer device may be a server, and an internal structure diagram of the computer device may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data of the resistance equivalent model and the equivalent submodel, and storing equivalent resistance, working resistance and contact resistance obtained in the process of executing calculation. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a method for calculating the metering error of the electric energy meter.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter; searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss; and substituting the increment of the total power consumption metering value of the transformer area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method for establishing the electric energy meter metering error calculation model comprises the following steps: acquiring the increment of a historical total power consumption metering value of a transformer area, the increment of a historical power consumption metering value of each sub-watt electric energy meter and a historical line loss value; based on the law of conservation of energy, establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt electric meter, the historical line loss value and the historical fixed loss; respectively solving parameters to be solved and error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter; and comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting a first-order error model or a second-order error model as an electric energy meter metering error calculation model according to a comparison result, identifying the electric energy meter metering error calculation model by using station area identification information, and storing the identified station area identification information into an electric energy meter error database.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the metering error value comprises a first-order metering error value and a second-order metering error value; the step of selecting the first order error model or the second order error model as the electric energy meter metering error calculation model according to the comparison result comprises the following steps: respectively comparing the first-order metering error value and the second-order metering error value of each sub-electric energy meter with a preset error threshold value, and selecting a first-order error model as an electric energy meter metering error calculation model when the number of sub-electric energy meters with the first-order calculation error values larger than the preset error threshold value is larger than the number of sub-electric energy meters with the second-order calculation error values larger than the preset error threshold value; and otherwise, selecting a second-order error model as a metering error calculation model of the electric energy meter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of a transformer area, the increment of the historical power consumption metering value of each sub-watt meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy, wherein the steps comprise: a first order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of a transformer area, the increment of the historical power consumption metering value of each sub-watt meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy, wherein the steps comprise: a second order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the step of respectively solving the error parameters of the first-order error model and the second-order error model by adopting the LM algorithm comprises the following steps: calculating parameters to be solved according to LM algorithm0And error coefficient mui、αiAnd βi。
In one embodiment, the processor, when executing the computer program, further performs the steps of: in the step of obtaining the historical line loss value, the method comprises the following steps: obtaining branch impedance and real-time working current of each line in the transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps: acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter; searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss; and substituting the increment of the total power consumption metering value of the transformer area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method for establishing the electric energy meter metering error calculation model comprises the following steps: acquiring the increment of a historical total power consumption metering value of a transformer area, the increment of a historical power consumption metering value of each sub-watt electric energy meter and a historical line loss value; based on the law of conservation of energy, establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-watt electric meter, the historical line loss value and the historical fixed loss; respectively solving parameters to be solved and error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter; and comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting a first-order error model or a second-order error model as an electric energy meter metering error calculation model according to a comparison result, identifying the electric energy meter metering error calculation model by using station area identification information, and storing the identified station area identification information into an electric energy meter error database.
In one embodiment, the computer program when executed by the processor further performs the steps of: the metering error value comprises a first-order metering error value and a second-order metering error value; the step of selecting the first order error model or the second order error model as the electric energy meter metering error calculation model according to the comparison result comprises the following steps: respectively comparing the first-order metering error value and the second-order metering error value of each sub-electric energy meter with a preset error threshold value, and selecting a first-order error model as an electric energy meter metering error calculation model when the number of sub-electric energy meters with the first-order calculation error values larger than the preset error threshold value is larger than the number of sub-electric energy meters with the second-order calculation error values larger than the preset error threshold value; and otherwise, selecting a second-order error model as a metering error calculation model of the electric energy meter.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of a transformer area, the increment of the historical power consumption metering value of each sub-watt meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy, wherein the steps comprise: a first order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method comprises the following steps of establishing a first-order error model and a second-order error model according to the increment of the historical total power consumption metering value of a transformer area, the increment of the historical power consumption metering value of each sub-watt meter, the loss value of a historical line and the historical fixed loss based on the law of conservation of energy, wherein the steps comprise: a second order error model is established using the following formula:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
In one implementationIn an example, the computer program when executed by the processor further implements the steps of: the step of respectively solving the error parameters of the first-order error model and the second-order error model by adopting the LM algorithm comprises the following steps: calculating parameters to be solved according to LM algorithm0And error coefficient mui、αiAnd βi。
In one embodiment, the computer program when executed by the processor further performs the steps of: in the step of obtaining the historical line loss value, the method comprises the following steps: obtaining branch impedance and real-time working current of each line in the transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for calculating metering errors of an electric energy meter is characterized by comprising the following steps:
acquiring a distribution area parameter of the electric energy meter to be calculated, wherein the distribution area parameter comprises distribution area identification information, distribution area total electricity consumption metering value increment and electricity consumption metering value increment of each sub-electric energy meter;
searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the electric energy meter metering error calculation model to calculate the metering error value of each sub-electric energy meter.
2. The method for calculating the metering error of the electric energy meter according to the claim 1, wherein the establishing of the calculation model of the metering error of the electric energy meter comprises the following steps:
acquiring the increment of a historical total power consumption metering value of a transformer area, the increment of a historical power consumption metering value of each sub-watt electric energy meter and a historical line loss value;
based on the law of conservation of energy, establishing a first-order and second-order error model according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
respectively solving parameters to be solved and error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm; the error coefficient is used for calculating the metering error value of each sub-watt-hour meter;
comparing the metering error values of the sub-electric energy meters with a preset error threshold, selecting the first-order error model or the second-order error model as the metering error calculation model of the electric energy meter according to the comparison result, identifying the metering error calculation model of the electric energy meter by using station area identification information, and storing the identified station area identification information into the electric energy meter error database.
3. The method of claim 2, wherein the metering error values comprise a first order metering error value and a second order metering error value; the step of selecting the first order error model or the second order error model as the electric energy meter metering error calculation model according to the comparison result comprises the following steps:
respectively comparing a first-order metering error value and a second-order metering error value of each sub-electric energy meter with a preset error threshold value, and selecting the first-order error model as the electric energy meter metering error calculation model when the number of the sub-electric energy meters of which the first-order calculation error value is greater than the preset error threshold value is greater than the number of the sub-electric energy meters of which the second-order calculation error value is greater than the preset error threshold value;
and otherwise, selecting the second-order error model as the electric energy meter metering error calculation model.
4. The method for calculating the metering error of the electric energy meter according to claim 2 or 3, wherein in the step of establishing a first-order and second-order error model according to the historical total power metering value increment of the distribution area, the historical power metering value increment of each sub electric energy meter, the historical line loss value and the historical fixed loss based on the law of conservation of energy, the method comprises the following steps:
the first order error model is built using the following equation:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0represents the historical stationary loss, μiIndicating errorCoefficient, wline_lossRepresenting historical line loss values.
5. The method for calculating the metering error of the electric energy meter according to claim 4, wherein in the step of establishing a first-order and second-order error model according to the increment of the historical total power metering value of the distribution area, the increment of the historical power metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss based on the law of conservation of energy, the method comprises the following steps:
the second order error model is established using the following equation:
wherein E is0Representing the incremental quantity of the historical total power consumption of the distribution room, EiThe historical increment of the electricity consumption metering value of each sub-electric energy meter is represented,0representing historical fixed losses, αiAnd βiRepresents the error coefficient, wline_lossRepresenting historical line loss values.
6. The method for calculating the metering error of the electric energy meter according to claim 5, wherein the step of respectively solving the parameters to be solved and the error coefficients of the first-order error model and the second-order error model by adopting an LM algorithm comprises the following steps:
calculating parameters to be solved according to LM algorithm0And error coefficient mui、αiAnd βi。
7. The method for calculating the metering error of the electric energy meter according to the claim 2, wherein the step of obtaining the historical line loss value comprises the following steps:
obtaining branch impedance and real-time working current of each line in a transformer area, and calculating to obtain a historical line loss value according to the branch impedance and the real-time working current of each line;
wherein, wline_lossRepresenting historical line loss values, rlThe branch impedance of the ith line of the station area is shown, m is shown as m lines, and I (tau) is the working current at the time of tau.
8. An electric energy meter metering error calculation device, comprising:
the distribution room parameter acquisition module is used for acquiring distribution room parameters of the electric energy meter to be calculated, wherein the distribution room parameters comprise distribution room identification information, distribution room total electricity consumption metering value increment, each sub-electric energy meter electricity consumption metering value increment and line loss value;
the error calculation model searching module is used for searching an electric energy meter metering error calculation model corresponding to the station area identification information from an electric energy meter error database according to the station area identification information; the electric energy meter calculation error calculation model is established by adopting an LM algorithm according to the increment of the historical total power consumption metering value of the transformer area, the increment of the historical power consumption metering value of each sub-electric energy meter, the historical line loss value and the historical fixed loss;
and the metering error value calculation module is used for substituting the increment of the total power consumption metering value of the distribution area and the increment of the power consumption metering value of each sub-electric energy meter into the metering error calculation model of the electric energy meter to calculate the metering error value of each sub-electric energy meter.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of claims 1-7 are performed when the program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of claims 1 to 7.
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| CN112684397A (en) * | 2020-11-20 | 2021-04-20 | 国网江苏省电力有限公司营销服务中心 | Electric energy meter operation error monitoring method and system based on high-frequency HPLC (high Performance liquid chromatography) data |
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| CN112684400B (en) * | 2020-11-25 | 2024-03-01 | 国网江苏省电力有限公司营销服务中心 | Electric energy meter operation error data monitoring method and system for small electric quantity station area |
| CN112684400A (en) * | 2020-11-25 | 2021-04-20 | 国网江苏省电力有限公司营销服务中心 | Method and system for monitoring electric energy meter operation error data of small electric quantity distribution area |
| CN112379177A (en) * | 2021-01-18 | 2021-02-19 | 中国电力科学研究院有限公司 | Method and system for determining low-voltage line loss and electric energy meter operation error of transformer area |
| CN112816934A (en) * | 2021-03-01 | 2021-05-18 | 云南电网有限责任公司电力科学研究院 | Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter |
| CN113064113A (en) * | 2021-03-24 | 2021-07-02 | 南方电网科学研究院有限责任公司 | Phase-splitting identification method, device, terminal and storage medium for electric energy meters in transformer area |
| CN115097376B (en) * | 2022-08-24 | 2022-11-01 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Processing method and device for check data of metering equipment and computer equipment |
| CN115097376A (en) * | 2022-08-24 | 2022-09-23 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Processing method and device for check data of metering equipment and computer equipment |
| CN115542236A (en) * | 2022-11-24 | 2022-12-30 | 北京志翔科技股份有限公司 | Method and device for estimating running error of electric energy meter |
| CN115542236B (en) * | 2022-11-24 | 2023-06-06 | 北京志翔科技股份有限公司 | Electric energy meter operation error estimation method and device |
| CN115561699A (en) * | 2022-12-05 | 2023-01-03 | 北京志翔科技股份有限公司 | Operation error estimation method and device |
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