CN109975739B - High-precision intelligent electric energy meter debugging and measuring method - Google Patents
High-precision intelligent electric energy meter debugging and measuring method Download PDFInfo
- Publication number
- CN109975739B CN109975739B CN201910290218.8A CN201910290218A CN109975739B CN 109975739 B CN109975739 B CN 109975739B CN 201910290218 A CN201910290218 A CN 201910290218A CN 109975739 B CN109975739 B CN 109975739B
- Authority
- CN
- China
- Prior art keywords
- electric energy
- energy meter
- intelligent electric
- precision intelligent
- precision
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Current Or Voltage (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The application provides a debugging method of high accuracy intelligent ammeter, when the benchmark table error can't ignore at the debugging in-process of high accuracy intelligent ammeter, utilizes kalman filter algorithm, carries out regulation many times under different voltage current conditions, can overcome the influence that the benchmark table error brought, effectively promotes high accuracy intelligent ammeter precision.
Description
Technical Field
The invention relates to the field of high-precision intelligent electric energy meter application, in particular to a debugging and measuring method of a high-precision intelligent electric energy meter.
Background
In recent years, with more and more application scenes of high-precision intelligent electric energy meters, the demand of the high-precision intelligent electric energy meters is increased gradually, but due to the precision of the reference meter, the error of the reference meter cannot be ignored during the adjustment of the high-precision intelligent electric energy meters, and the production and the use of the high-precision intelligent electric energy meters are severely limited under the condition.
Kalman filtering (Kalman Filter) is an algorithm that uses a linear system state equation to perform optimal estimation of the system state by inputting and outputting observation data through the system. The optimal estimation can also be seen as a filtering process, since the observed data includes the effects of noise and interference in the system.
The data filtering is a data processing technology for removing noise and restoring real data, and the Kalman filtering can more accurately estimate the real data from a series of data with measurement errors. Because the method is convenient for realizing computer programming and can update and process the data acquired on site in real time, Kalman filtering is the most widely applied filtering method at present and is better applied to a plurality of fields.
In the process of adjusting the high-precision intelligent electric energy meter, the measurement error of the reference meter can not be ignored any more, but the cost for purchasing the reference meter with higher precision is very high.
Disclosure of Invention
The application provides a debugging and testing method of a high-precision intelligent electric energy meter, which can utilize a Kalman filtering algorithm to conduct multiple times of regulation under different voltage and current conditions under the condition that the precision of a reference meter cannot be improved, overcomes the error influence of the reference meter, and effectively improves the precision of the high-precision intelligent electric energy meter.
The technical purpose of the invention is realized by the following technical scheme:
a method for debugging and measuring a high-precision intelligent electric energy meter is characterized by comprising the following steps:
acquiring the instantaneous power X (k-1) measured by the high-precision intelligent electric energy meter before the regulation is started;
acquiring the instantaneous power Z (k) measured by a reference meter in the current state;
according to the actual error sigma of the instantaneous power Z (k) measured by the acquisition reference table in the current statew(k-1) calculating a new prediction error
Wherein:
computing kalman gain
Calculating the current optimal estimated value:
X(k)＝X(k-1)+K(k)·[Z(k)-X(k-1)]；
sending a command by using electric energy meter error debugging software, and adjusting the instantaneous power measured by the high-precision intelligent electric energy meter to X (k);
calculating the actual error of the current high-precision intelligent electric energy meter:
and (3) converting the voltage and current conditions, enabling k to be k +1, skipping to the first step, and repeating the steps until the actual error of the high-precision intelligent electric energy meter meets the precision requirement.
The technical scheme provided by the application comprises the following beneficial technical effects:
a method for debugging and measuring a high-precision intelligent electric energy meter can utilize a Kalman filtering algorithm to conduct multiple times of regulation under the condition of different voltages and currents under the condition that the precision of a reference meter cannot be improved, overcomes the error influence of the reference meter, and effectively improves the precision of the high-precision intelligent electric energy meter.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a flowchart of the high-precision intelligent electric energy meter adjusting method.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
The parameters required for metering or calculation in the process of adjusting the table are as follows:
x (k): and during the k-time calibration, the target instantaneous power of the high-precision intelligent electric energy meter. Namely, the command is sent through the software of the upper computer under the current condition, and the instantaneous power measured by the high-precision intelligent electric energy meter is adjusted to the value.
σw(k) The method comprises the following steps And after the kth adjustment, the actual error of the high-precision intelligent electric energy meter is obtained.
Z (k): at the kth calibration, the reference table measures the instantaneous power.
σvActual error of a given reference table.
K (k) Kalman gain at the k-th calibration.
The initial value X (0) is the instantaneous power measured by the high-precision intelligent electric energy meter when not calibrated.
Initial value sigmaw(0) The maximum error of the high-precision intelligent electric energy meter in engineering experience is obtained.
Referring to fig. 1, a flowchart of a high-precision intelligent electric energy meter adjusting method provided in this embodiment is shown.
The application provides a debugging and testing method of a high-precision intelligent electric energy meter, which specifically comprises the following steps:
s1, acquiring instantaneous power X (k-1) measured by a high-precision intelligent electric energy meter before the regulation is started;
s2, acquiring instantaneous power Z (k) measured by a reference meter in the current state;
s3, according to the actual error sigma of the instantaneous power Z (k) measured by the acquisition reference table in the current statew(k-1) calculating a new prediction error
Wherein:
s4, calculating Kalman gain
S5, calculating the current optimal estimation value:
X(k)＝X(k-1)+K(k)·[Z(k)-X(k-1)]；
s6, sending a command by using electric energy meter error debugging software, and adjusting the instantaneous power measured by the high-precision intelligent electric energy meter to X (k);
s7, calculating the actual error of the current high-precision intelligent electric energy meter:
and S8, converting the voltage and current conditions, enabling k to be k +1, jumping to S1, and repeating the steps until the actual error of the high-precision intelligent electric energy meter meets the precision requirement.
In summary, according to the present embodiment, under the condition that the precision of the reference meter cannot be improved, the kalman filter algorithm is used to perform multiple adjustments under different voltage and current conditions, so as to overcome the error influence of the reference meter, and effectively improve the precision of the high-precision intelligent electric energy meter, and under the condition that the precision of the reference meter cannot be improved, the kalman filter algorithm is used to perform multiple adjustments under different voltage and current conditions, so as to overcome the error influence of the reference meter, and effectively improve the precision of the high-precision intelligent electric energy meter.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be understood that the present application is not limited to what has been described above and shown in the accompanying drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (1)
1. A method for debugging and measuring a high-precision intelligent electric energy meter is characterized by comprising the following steps:
acquiring the instantaneous power X (k-1) measured by the high-precision intelligent electric energy meter before the regulation is started;
acquiring the instantaneous power Z (k) measured by a reference meter in the current state;
according to the actual error sigma of the instantaneous power Z (k) measured by the acquisition reference table in the current statew(k-1) calculating a new prediction error
Wherein:
computing kalman gain
Calculating the current optimal estimated value:
X(k)＝X(k-1)+K(k)·[Z(k)-X(k-1)]；
sending a command by using electric energy meter error debugging software, and adjusting the instantaneous power measured by the high-precision intelligent electric energy meter to X (k);
calculating the actual error of the current high-precision intelligent electric energy meter:
and (3) converting the voltage and current conditions, enabling k to be k +1, skipping to the first step, and repeating the steps until the actual error of the high-precision intelligent electric energy meter meets the precision requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910290218.8A CN109975739B (en) | 2019-04-11 | 2019-04-11 | High-precision intelligent electric energy meter debugging and measuring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910290218.8A CN109975739B (en) | 2019-04-11 | 2019-04-11 | High-precision intelligent electric energy meter debugging and measuring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109975739A CN109975739A (en) | 2019-07-05 |
| CN109975739B true CN109975739B (en) | 2021-01-08 |
Family
ID=67084285
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910290218.8A Active CN109975739B (en) | 2019-04-11 | 2019-04-11 | High-precision intelligent electric energy meter debugging and measuring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109975739B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101604005A (en) * | 2009-06-29 | 2009-12-16 | 杭州电子科技大学 | A kind of estimation method of battery dump energy based on combined sampling point Kalman filtering |
| CN102289557A (en) * | 2011-05-17 | 2011-12-21 | 杭州电子科技大学 | Battery model parameter and residual battery capacity joint asynchronous online estimation method |
| CN103135065A (en) * | 2013-01-25 | 2013-06-05 | 文创太阳能(福建)科技有限公司 | Iron phosphate lithium battery electric quantity detecting method based on feature points |
| CN106291439A (en) * | 2016-07-26 | 2017-01-04 | 国网重庆市电力公司 | The Time-Frequency Analysis Method decomposed for electric energy error |
| CN106383329A (en) * | 2016-08-31 | 2017-02-08 | 西安亮丽仪器仪表有限责任公司 | Error correction method for single-phase electric energy meter |
| CN106921156A (en) * | 2015-12-25 | 2017-07-04 | 中国电力科学研究院 | A kind of active distribution network method for estimating state based on many sampling period hybrid measurements |
| US9766277B2 (en) * | 2009-09-25 | 2017-09-19 | Belkin International, Inc. | Self-calibrating contactless power consumption sensing |
-
2019
- 2019-04-11 CN CN201910290218.8A patent/CN109975739B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101604005A (en) * | 2009-06-29 | 2009-12-16 | 杭州电子科技大学 | A kind of estimation method of battery dump energy based on combined sampling point Kalman filtering |
| US9766277B2 (en) * | 2009-09-25 | 2017-09-19 | Belkin International, Inc. | Self-calibrating contactless power consumption sensing |
| CN102289557A (en) * | 2011-05-17 | 2011-12-21 | 杭州电子科技大学 | Battery model parameter and residual battery capacity joint asynchronous online estimation method |
| CN103135065A (en) * | 2013-01-25 | 2013-06-05 | 文创太阳能(福建)科技有限公司 | Iron phosphate lithium battery electric quantity detecting method based on feature points |
| CN106921156A (en) * | 2015-12-25 | 2017-07-04 | 中国电力科学研究院 | A kind of active distribution network method for estimating state based on many sampling period hybrid measurements |
| CN106291439A (en) * | 2016-07-26 | 2017-01-04 | 国网重庆市电力公司 | The Time-Frequency Analysis Method decomposed for electric energy error |
| CN106383329A (en) * | 2016-08-31 | 2017-02-08 | 西安亮丽仪器仪表有限责任公司 | Error correction method for single-phase electric energy meter |
Non-Patent Citations (1)
| Title |
|---|
| 卡尔曼滤波器的MATLAB仿真实现;关吉 等;《东南传播》;20141231;第178-180页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109975739A (en) | 2019-07-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108089141B (en) | Error correction method and device of current measuring device based on current divider | |
| CN106505557B (en) | Remote measurement error identification method and device | |
| CN108982944B (en) | Current measuring method, device and equipment for flat conductor and storage medium | |
| JP5915342B2 (en) | Power system state estimation method | |
| CN110865238B (en) | Alternating current resistance measurement method and device based on quasi-harmonic model sampling algorithm | |
| CN104102836A (en) | Method for quickly estimating robust state of power system | |
| CN101692109A (en) | Impedance measurement method based on system discrimination | |
| Enayati et al. | Real‐time harmonic estimation using a novel hybrid technique for embedded system implementation | |
| EP1684081A1 (en) | Method and device for characterizing the linear properties of an electrical component | |
| WO2007140627A1 (en) | A method for determining the linear electrical response of a transformer, generator or electrical motor | |
| KR100815617B1 (en) | Evaluation device of burden for current transformer using current transformer comparator and precise shunt resistor and method thereof | |
| CN109975739B (en) | High-precision intelligent electric energy meter debugging and measuring method | |
| CN112784218B (en) | Kurtosis estimation method for non-Gaussian random vibration signal | |
| CN101251576A (en) | Circuit failure diagnosis method based on neural network | |
| CN105021865A (en) | A voltage measurement method allowing compensation | |
| CN109725188B (en) | Current measuring method and device | |
| CN109193639B (en) | Robust estimation method for power system | |
| CN109638811B (en) | Power distribution network voltage power sensitivity robust estimation method based on model equivalence | |
| CN103092815A (en) | Calibration device and method for carrying out calibration on transfer function in monitoring device | |
| CN107203495B (en) | S parameter circular interpolation method | |
| CN112816754B (en) | Current compensation method and equipment for current transformer | |
| CN105954598B (en) | A kind of iron core reactor parameter identification method | |
| CN113702896B (en) | System and method for measuring direct-current electric energy standard meter error based on voltage reference | |
| CN111864741B (en) | Quantitative analysis method and system for influence of line parameter errors on power distribution | |
| CN103390251A (en) | Method for setting measurement weight for power system state estimation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |