CN113762744A - Power data quality evaluation method, system and storage medium - Google Patents
Power data quality evaluation method, system and storage medium Download PDFInfo
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Abstract
The present disclosure provides a power data quality evaluation method, system and storage medium, the method includes collecting power data of each power metering device in a power system; periodically carrying out field inspection on the electric energy data, and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point; and determining the accuracy of the electric energy metering device according to the error value. The method provided by the disclosure can correct errors in time, ensure accurate sources and improve the quality grade of the power data.
Description
Technical Field
The present disclosure relates generally to the field of data management technologies, and in particular, to a method, a system, and a storage medium for evaluating power data quality.
Background
With the large scale access of clean energy and electric vehicles, the physical structure and operational characteristics of the power system have changed fundamentally. The specific expression is that the data of the power system equipment, operation and calculation are richer, the data dimension is higher and higher, the sources are various, and the factors influencing data transmission and precision are more difficult to determine.
At present, the processing capacity of a data quality verification system in the related technology has a serious bottleneck, and when online data acquisition and system operation maintenance are carried out, the accuracy of an electric power data source is often poor due to errors of an electric energy meter, so that the quality evaluation of the electric power data is low.
Disclosure of Invention
In view of the above-mentioned drawbacks or deficiencies in the related art, it is desirable to provide a power data quality assessment method, system and storage medium capable of improving a power data quality level.
In a first aspect, the present disclosure provides a power data quality assessment method, the method comprising:
collecting electric energy data of each electric energy metering device in the electric power system;
periodically carrying out field inspection on the electric energy data, and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point;
and determining the accuracy of the electric energy metering device according to the error value.
Optionally, in some embodiments of the present disclosure, the calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point includes:
when the power factor is equal to 1, selecting three operation quality detection load points to measure the errors of the electric energy meters of various charge currents, and calculating by the formula (1):
wherein, Q'1Representing the error of the metering indication value of the electric energy meter; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; and I represents the basic current of the direct access type electric energy meter or the rated current of the electric energy meter accessed through the mutual inductor.
Optionally, in some embodiments of the present disclosure, the periodically performing field verification on the electric energy data further includes:
dividing a sampling batch range according to a preset rule;
and randomly extracting a first sample amount from the batch range by taking the batch range as a reference to carry out operation quality detection, so as to obtain a judgment result corresponding to the batch range.
Optionally, in some embodiments of the present disclosure, the determination result corresponding to the batch range includes:
if the number of unqualified products in the first sample size is less than or equal to the first sampling qualified judgment number, determining that the judgment result is qualified;
if the number of unqualified products in the first sample amount is larger than or equal to the unqualified judgment number of the first sampling, determining that the judgment result is unqualified;
if the number of unqualified products in the first sample amount is larger than the first sampling qualified judgment number and smaller than the first sampling unqualified judgment number, extracting a second sample amount for running quality detection, and determining that the judgment result is qualified when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is smaller than or equal to the second sampling qualified judgment number,
and when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is greater than or equal to the second sampling unqualified judgment number, determining that the judgment result is unqualified.
Optionally, in some embodiments of the present disclosure, the error value is further determined according to an electrical load.
Optionally, in some embodiments of the present disclosure, the electrical load is calculated by equation (2):
wherein, P1Represents the average load of the high-voltage users or the users of the low-voltage three-phase power supply in normal months; w represents the electricity consumption in normal months and has the unit of kW.h; t represents the number of electricity hours in normal months in units of h.
Optionally, in some embodiments of the present disclosure, the electrical load is calculated by equation (3):
wherein, P2Representing the average monthly load of electricity consumption of residents;
and the average power consumption of the resident user in the last meter reading period is expressed in kW & h.
Optionally, in some embodiments of the present disclosure, the error value is further determined according to an average of the error values corresponding to the operation quality detection load points, and is calculated by equation (4):
wherein, Q'2The error of the electric energy meter for measuring the electricity consumption of the residential user is represented; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; i isbRepresenting the basic current of the electric energy meter.
In a second aspect, the present disclosure provides a power data quality assessment system, the system comprising:
the acquisition unit is used for acquiring the electric energy data of each electric energy metering device in the electric power system;
the calculating unit is used for periodically carrying out field inspection on the electric energy data and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point;
and the determining unit is used for determining the accuracy of the electric energy metering device according to the error value.
In a third aspect, the present disclosure provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the power data quality assessment method according to the first aspect.
According to the technical scheme, the embodiment of the disclosure has the following advantages:
the embodiment of the disclosure provides a power data quality evaluation method, a power data quality evaluation system and a storage medium, wherein power data of each power metering device in a power system are collected, and the power data are regularly subjected to field inspection, so that error values of an operation quality detection load point and an operation quality detection load point of the power metering device are calculated, and the accuracy of the power metering device is determined according to the error values, so that the error can be corrected in time, the source accuracy is ensured, and the power data quality grade is improved.
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Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic flow chart of a power data quality evaluation method according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a power data quality evaluation system according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments, which can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort, shall fall within the scope of protection of the present disclosure.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present disclosure and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described are capable of operation in sequences other than those illustrated or otherwise described herein.
Moreover, the terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding and explanation, the power data quality assessment method, system and storage medium provided by the embodiments of the present disclosure are described in detail below with reference to fig. 1 to 2.
Please refer to fig. 1, which is a flowchart illustrating a power data quality evaluation method according to an embodiment of the present disclosure. The method comprises the following steps:
and S101, collecting electric energy data of each electric energy metering device in the electric power system.
Illustratively, the embodiment of the disclosure installs an electric energy metering device at a production operation site and an electric power user of a power generation and power supply enterprise of a power system as a collection node. The power supply enterprise collects the electric energy data of each node through an electric energy metering device operation online monitoring technology, then transmits the electric energy data to the electric power system detection and evaluation terminal to analyze and monitor the operation state of the electric energy metering device, and records the electric energy data of each node.
S102, periodically carrying out field inspection on the electric energy data, and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point.
It should be noted that the check period in the fixed period is obtained according to the operation state of the electric energy metering device, and the check period may be annual, seasonal or monthly, for example. Optionally, if the electric energy meter or the electric energy information acquisition terminal has a fault in the field inspection, the fault can be identified and processed in time. The field inspection equipment has data storage and communication functions, and inspection data can be automatically uploaded to a database. The field test electric energy meter adopts a standard electric energy meter method, and carries out test by measuring voltage, current and phase and an electric energy meter field test instrument with a wrong wiring judgment function and utilizing photoelectric acquisition control or a generated signal control of a tested meter.
Optionally, in the embodiment of the present disclosure, when the power factor is equal to 1, three operation quality detection load points are selected to measure the errors of the electric energy meter of various charge currents, for example, as calculated by equation (1):
wherein, Q'1Representing the error of the metering indication value of the electric energy meter; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; and I represents the basic current of the direct access type electric energy meter or the rated current of the electric energy meter accessed through the mutual inductor. Electric energy meter daily timing error for operation quality detection<Plus or minus 0.5s/d, electric energy meter measurement indicating value error<And (4) detecting the grade value of the accuracy of the electric energy meter.
Optionally, in some embodiments of the present disclosure, the sampling batch range is divided according to a preset rule, for example, in a year before the inspection period, the sampling batch range is divided according to a manufacturer, an order (production) batch and a model, and the batch range is used as a reference, and a first sample is randomly extracted from the batch range to perform operation quality detection, so as to obtain a determination result corresponding to the batch range, thereby determining whether the whole batch of electric energy meters needs to be replaced. When the batch is selected, the electric energy meters of the same manufacturer, model, order (production) batch and installation site which are relatively centralized are divided into a plurality of batches according to the batch range, sampling, inspection and judgment are carried out, the selected batch should be marked with the sampling batch, filed for future reference, and the batch should not be expanded or reduced randomly once being determined. And then, the samples are extracted in a random mode, the extracted samples are subjected to visual inspection, no damage is caused by external force and the like, and meanwhile, the seal is verified to be intact.
Further, based on the sample run quality detection result, if the number of defective products in the first sample amount is less than or equal to the first sampling pass determination number, the determination result is determined to be pass. Or, if the number of unqualified products in the first sample amount is larger than or equal to the number of unqualified products in the first sample amount, determining that the judgment result is unqualified. Or if the number of unqualified products in the first sample quantity is larger than the first sampling qualified judgment number and smaller than the first sampling unqualified judgment number, extracting a second sample quantity for operation quality detection, determining that the judgment result is qualified when the accumulated value of the number of unqualified products in the first sample quantity and the number of unqualified products in the second sample quantity is smaller than or equal to the second sampling qualified judgment number, continuing to operate the batch of electric energy meters, and determining that the judgment result is unqualified when the accumulated value of the number of unqualified products in the first sample quantity and the number of unqualified products in the second sample quantity is larger than or equal to the second sampling unqualified judgment number, wherein the batch of electric energy meters should be completely replaced. The advantage of setting up like this is, can in time carry out the operation maintenance to the system, and high-efficient quick accurate correction of guaranteeing the data source improves online data acquisition's reliability and electric power data's quality grade.
It should be noted that the newly put into operation or the modified class I, class II, and class III electric energy metering devices perform the first field test of the electric energy meter within 1 month of charge, and the electric energy metering devices in operation perform the field test of the electric energy meter periodically, for example, the periodic test period of the class I electric energy metering device is set to 6 months, the periodic test period of the class II electric energy metering device is set to 12 months, and the periodic test period of the class III electric energy metering device is set to 24 months. When the electric energy meter is determined to be unqualified through operation quality detection, a plan is made according to reference factors such as the operation age, the installation area and the actual workload of the electric energy metering device, and the electric energy meter is completely replaced within one year. And replacing the disassembled I-IV type electric energy meters to extract 5-10% of the total amount, replacing the V-IV type electric energy meters to extract 1-5% of the total amount, performing error measurement according to a metrological verification rule, and counting the detection rate and the qualification rate every year, wherein the low-voltage current transformer extracts 15% of the total amount from the 20 th year of operation to perform verification, and the counting qualification rate is not less than 98%, otherwise, doubling the extraction and verification, and counting the qualification rate until all the electric energy meters are replaced.
Optionally, in some embodiments of the present disclosure, the error value is further determined according to the electrical load when the electric energy meter is temporarily verified. For example, for high-voltage users or low-voltage three-phase power supply users, the error of the electric energy meter is measured according to the actual electric load. In the case where the actual electric load is difficult to determine, the average load measurement in the normal month, that is, the electric load is calculated by equation (2):
wherein, P1Represents the average load of the high-voltage users or the users of the low-voltage three-phase power supply in normal months; w represents the electricity consumption in normal months and has the unit of kW.h; t represents the number of electricity hours in normal months in units of h.
For another example, for a residential customer, the energy meter error is determined from the monthly average load, i.e., the electrical load is calculated by equation (3):
wherein, P2Representing the average monthly load of electricity consumption of residents;
and the average power consumption of the resident user in the last meter reading period is expressed in kW & h.
For another example, if the average monthly load of electricity consumption of residents is difficult to determine, error value measurement is performed according to the average of the error values corresponding to the operation quality detection load points, namely, the error value is calculated by the formula (4):
wherein, Q'2The error of the electric energy meter for measuring the electricity consumption of the residential user is represented; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; i isbRepresenting the basic current of the electric energy meter.
And S103, determining the accuracy of the electric energy metering device according to the error value.
Illustratively, if the error value is less than the rank value of the accuracy of the detected electric energy metering device, the accuracy is high, and if the error value is greater than the rank value of the accuracy of the detected electric energy metering device, the accuracy is low.
According to the power data quality assessment method provided by the embodiment of the disclosure, the power data of each power metering device in the power system is collected, and the power data is periodically subjected to field inspection, so that the operation quality detection load point of each power metering device and the error value corresponding to the operation quality detection load point are calculated, and the accuracy of each power metering device is determined according to the error value, so that the error can be corrected in time, the source accuracy is ensured, and the power data quality level is improved.
Based on the foregoing embodiments, the embodiments of the present disclosure provide a power data quality assessment system, which may be applied to the power data quality assessment method provided in the embodiment corresponding to fig. 1. Referring to fig. 2, the power data quality evaluation system 200 includes:
the acquisition unit 201 is used for acquiring electric energy data of each electric energy metering device in the electric power system;
the calculating unit 202 is used for periodically performing field inspection on the electric energy data and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point;
and the determining unit 203 is used for determining the accuracy of the electric energy metering device according to the error value.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is configured to select three operation quality detection load points to measure the electric energy meter error of each charge current when the power factor is equal to 1, and calculate by using equation (1):
wherein, Q'1Representing the error of the metering indication value of the electric energy meter; q represents load point measurementAn error value; i ismaxRepresenting the maximum current of the electric energy meter; and I represents the basic current of the direct access type electric energy meter or the rated current of the electric energy meter accessed through the mutual inductor.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is further configured to divide the sampling batch range according to a preset rule;
and randomly extracting a first sample amount from the batch range by taking the batch range as a reference to carry out operation quality detection so as to obtain a judgment result corresponding to the batch range.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is further configured to determine that the determination result is qualified if the number of unqualified products in the first sample size is smaller than or equal to the first sampling qualified determination number;
if the number of unqualified products in the first sample amount is larger than or equal to the unqualified judgment number of the first sampling, the judgment result is determined to be unqualified;
if the number of unqualified products in the first sample amount is larger than the first sampling qualification number and smaller than the first sampling unqualified number, extracting a second sample amount for operation quality detection, and determining the judgment result as qualified when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is smaller than or equal to the second sampling qualification number,
and when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is greater than or equal to the second sampling unqualified judgment number, determining that the judgment result is unqualified.
Optionally, in some embodiments of the present disclosure, the error value is further determined according to an electrical load.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is further configured to calculate the electrical load by equation (2):
wherein, P1Represents the average load of the high-voltage users or the users of the low-voltage three-phase power supply in normal months; w represents the electricity consumption in normal monthskW.h; t represents the number of electricity hours in normal months in units of h.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is further configured to calculate the electrical load by equation (3):
wherein, P2Representing the average monthly load of electricity consumption of residents;
and the average power consumption of the resident user in the last meter reading period is expressed in kW & h.
Optionally, in some embodiments of the present disclosure, the calculating unit 202 is further configured to calculate an error value by equation (4):
wherein, Q'2The error of the electric energy meter for measuring the electricity consumption of the residential user is represented; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; i isbRepresenting the basic current of the electric energy meter.
It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.
According to the power data quality evaluation system provided by the embodiment of the disclosure, the acquisition unit acquires power data of each power metering device of a power system, the calculation unit periodically performs field inspection on the power data, calculates the operation quality detection load point of the power metering device and the error value corresponding to the operation quality detection load point, and the determination unit determines the accuracy of the power metering device according to the error value.
As another aspect, embodiments of the present disclosure provide a computer-readable storage medium for storing program code for executing the foregoing embodiment power data quality evaluation method.
As a further aspect, the present disclosure provides a computer program product including instructions, which when run on a computer, cause the computer to execute the foregoing embodiment power data quality assessment method.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form. Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present disclosure may be integrated into one processing unit, or each module may exist alone physically, or two or more units are integrated into one module. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented as a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium.
Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the power data quality assessment method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (10)
1. A power data quality assessment method, characterized in that the method comprises:
collecting electric energy data of each electric energy metering device in the electric power system;
periodically carrying out field inspection on the electric energy data, and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point;
and determining the accuracy of the electric energy metering device according to the error value.
2. The method according to claim 1, wherein the calculating the operating quality detection load point of the electric energy metering device and the error value corresponding to the operating quality detection load point comprises:
when the power factor is equal to 1, selecting three operation quality detection load points to measure the errors of the electric energy meters of various charge currents, and calculating by the formula (1):
wherein, Q'1Representing the error of the metering indication value of the electric energy meter; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; and I represents the basic current of the direct access type electric energy meter or the rated current of the electric energy meter accessed through the mutual inductor.
3. The power data quality assessment method according to claim 1 or 2, wherein said periodically performing field verification on said power data further comprises:
dividing a sampling batch range according to a preset rule;
and randomly extracting a first sample amount from the batch range by taking the batch range as a reference to carry out operation quality detection, so as to obtain a judgment result corresponding to the batch range.
4. The power data quality assessment method according to claim 3, wherein the determination result corresponding to the batch range comprises:
if the number of unqualified products in the first sample size is less than or equal to the first sampling qualified judgment number, determining that the judgment result is qualified;
if the number of unqualified products in the first sample amount is larger than or equal to the unqualified judgment number of the first sampling, determining that the judgment result is unqualified;
if the number of unqualified products in the first sample amount is larger than the first sampling qualified judgment number and smaller than the first sampling unqualified judgment number, extracting a second sample amount for running quality detection, and determining that the judgment result is qualified when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is smaller than or equal to the second sampling qualified judgment number,
and when the accumulated value of the number of unqualified products in the first sample amount and the number of unqualified products in the second sample amount is greater than or equal to the second sampling unqualified judgment number, determining that the judgment result is unqualified.
5. The method of claim 1, wherein the error value is further determined based on an electrical load.
6. The power data quality assessment method according to claim 5, wherein the power load is calculated by equation (2):
wherein, P1Represents the average load of the high-voltage users or the users of the low-voltage three-phase power supply in normal months; w represents the electricity consumption in normal months and has the unit of kW.h; t represents the number of electricity hours in normal months in units of h.
7. The power data quality assessment method according to claim 5, wherein the power load is calculated by equation (3):
wherein, P2Representing the average monthly load of electricity consumption of residents;
and the average power consumption of the resident user in the last meter reading period is expressed in kW & h.
8. The power data quality assessment method according to claim 1, wherein the error value is further determined according to an average of the error values corresponding to the operation quality detection load points, and is calculated by equation (4):
wherein, Q'2The error of the electric energy meter for measuring the electricity consumption of the residential user is represented; q represents a load point measurement error value; i ismaxRepresenting the maximum current of the electric energy meter; i isbRepresenting the basic current of the electric energy meter.
9. A power data quality assessment system, the system comprising:
the acquisition unit is used for acquiring the electric energy data of each electric energy metering device in the electric power system;
the calculating unit is used for periodically carrying out field inspection on the electric energy data and calculating an operation quality detection load point of the electric energy metering device and an error value corresponding to the operation quality detection load point;
and the determining unit is used for determining the accuracy of the electric energy metering device according to the error value.
10. A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the power data quality assessment method according to any one of claims 1 to 8.
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