CN108957092A - Platform area phase recognition methods based on Bezier algorithm - Google Patents
Platform area phase recognition methods based on Bezier algorithm Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/003—Measuring mean values of current or voltage during a given time interval
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
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Abstract
The present invention relates to electric energy meter technical field more particularly to a kind of platform area phase recognition methods based on Bezier algorithm.It mainly calculates single-phase meter to the standard deviation of A, B, C three-phase, and specific phase connection is then judged by this standard deviation.The separate of detection single-phase meter can be carried out using the voltage data that concentrator itself acquires in this way, facilitates detection phase information, and cost is relatively low.
Description
Technical Field
The invention relates to the technical field of electric energy meters, in particular to a station area phase identification method based on a Bessel algorithm.
Background
In the prior art, there are generally two methods for acquiring phase information of single-phase working electric meters and acquisition devices in a distribution area:
one method is to perform phase detection in a power failure mode, namely, stop the electricity of a certain phase, then detect which single-phase electric meters stop working, and then judge that the single-phase electric meters are connected to the phase which has been powered off.
The other is to set up a new type routing module in the platform area, increase the phase function of electric energy meter of collection platform area on this kind of routing module, but this kind of structure needs concentrator, routing module and electric energy meter all to support just can, and the cost of popularization is higher, and this kind of technical scheme initiative is in route producer, and every producer's scheme all is different, and electric energy meter and concentrator need adaptation routing module to make different schemes, can cause the waste of resource like this.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the station area phase identification method based on the Bessel algorithm is provided, the phase of a single-phase meter can be detected by using the voltage data acquired by the concentrator, the phase information can be conveniently detected, and the cost is low.
The technical scheme adopted by the invention is as follows: a station area phase identification method based on Bessel algorithm comprises the following steps:
s1, the concentrator collects three-phase voltage UA of the summary table at intervals of WX、UBX、UCXAnd voltage data Um of each single-phase meterXIn which UAXFor the voltage value, UB, of the X-th acquisition of phase AXIs the voltage value of X-th acquisition of B phase, UCXIs the voltage value of the X-th collection of the C phase, UmXThe voltage value collected for the Xth time of the mth single-phase meter;
s2, collecting N times of data after running for Y time, and obtaining the three-phase voltage value UA of the summary table1、UB1、UC1,UA2、UB2、UC2、、、、UAN、UBN、UCNAnd single-phase meter voltage data Um1、Um2、、、、UmN;
S3, calculating the average value of the three-phase voltage in the Y time of the summary tableAnd single-phase meter voltage averageWherein,
s4, calculating the average value of the voltage of the single-phase meterAverage value of three-phase voltage of general meterThe difference values of (HAm, HBm, HCm,
s5, calculating standard deviations of the single-phase table to A, B, C three phases respectively,
s6, obtaining the voltage phase of the single-phase table according to the three standard deviations obtained in the step S5;
s7, executing steps S1-S6 for each single-phase table user to obtain the voltage phase connected with each single-phase table.
The step S6 specifically refers to comparing the three standard deviation values, and selecting the phase corresponding to the minimum standard deviation value as the phase of the voltage connected to the single-phase meter.
And if the obtained three standard difference values are all larger than Z, judging that an error occurs, and reporting the error.
A step of verifying this resulting voltage phase needs to be inserted between step S6 and step S7.
The step of verifying is to repeat steps S1-S6 for this single phase table and then compare the obtained results with the previous results.
The step of verifying is that the steps S1-S6 are repeated twice on the single-phase table, then the three results obtained in total are compared to judge whether the results are the same or not, if the results are the same, the obtained results are judged to be correct, if the results are not the same, an error is judged to occur, and the error is reported.
W is 15 minutes.
And Y is 1 day.
Compared with the prior art, the method has the following advantages that: a, B, C three-phase standard deviation is obtained through an algorithm, whether voltage fluctuation curves between the single-phase electric energy meter and three phases are similar or not can be obtained according to the standard deviation, namely the standard deviation is smaller, namely the standard deviation is closer to 0, the similarity is higher, otherwise, the similarity is lower, the similarity is similar to the voltage fluctuation curve of a certain phase, the single-phase electric energy meter can be judged to be connected to the phase, power failure operation is not needed, an additional routing module is not needed, phase detection is convenient, the detection cost is low, and the detection accuracy is high.
Drawings
Fig. 1 is a graph of the formation of a single phase list and A, B, C phases in a particular implementation.
Detailed Description
The present invention will be further described with reference to the following detailed description and drawings, but the present invention is not limited to the following detailed description.
A station area phase identification method based on Bessel algorithm comprises the following steps:
s1, the concentrator collects three-phase voltage UA of the summary table at intervals of WX、UBX、UCXAnd voltage data Um of each single-phase meterXIn which UAXFor the voltage value, UB, of the X-th acquisition of phase AXIs the voltage value of X-th acquisition of B phase, UCXIs the voltage value of the X-th collection of the C phase, UmXThe voltage value collected for the Xth time of the mth single-phase meter; w in this particular example was set to detect once in 15 minutes,
s2, collecting N times of data after running for Y time, and obtaining the three-phase voltage value UA of the summary table1、UB1、UC1,UA2、UB2、UC2、、、、UAN、UBN、UCNAnd single-phase meter voltage data Um1、Um2、、、、UmN(ii) a In this embodiment Y is set to be 1 day,
that is, the data is collected 96 times a day in the present embodiment, as shown in the following table one:
watch 1
S3, calculating the average value of the three-phase voltage in the Y time of the summary tableAnd single-phase meter voltage averageWherein,
can obtain
S4, calculating the average value of the voltage of the single-phase meterAverage value of three-phase voltage of general meterThe difference values of (HAm, HBm, HCm,
HAm ═ 2.25625, HBm ═ 2.223958, HCm ═ 3.341667 can be obtained;
s5, calculating standard deviations of the single-phase table to A, B, C three phases respectively,
can obtain SA=1.295077,SB=5.452413,SC=4.921075;
S6, obtaining the voltage phase of the single-phase table according to the three standard deviations obtained in the step S5;
it can be seen that S is the three standard deviationsAAt minimum, the single-phase meter is connected to the phase A, and the voltage curve of the single-phase meter is closest to the voltage curve of the phase A as shown in FIG. 1.
And the steps of the single-phase table are repeated three times until the three results are the same, and the detection result is judged to be correct.
If all the obtained three standard deviations are greater than Z, and the Z in the specific embodiment selects 8, the judgment result is wrong.
Then other single-phase meters are detected according to the steps, so that the phase relation of all the single-phase meters can be obtained.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A station area phase identification method based on Bessel algorithm is characterized by comprising the following steps:
s1, the concentrator collects three-phase voltage UA of the summary table at intervals of WX、UBX、UCXAnd voltage data Um of each single-phase meterXIn which UAXFor the voltage value, UB, of the X-th acquisition of phase AXIs the voltage value of X-th acquisition of B phase, UCXIs the voltage value of the X-th collection of the C phase, UmXThe voltage value collected for the Xth time of the mth single-phase meter;
s2, carryingAfter Y time, collecting N times of data to obtain three-phase voltage UA of general table1、UB1、UC1,UA2、UB2、UC2、、、、UAN、UBN、UCNAnd single-phase meter voltage data Um1、Um2、、、、UmN;
S3, calculating the average value of the three-phase voltage in the Y time of the summary table And single-phase meter voltage averageWherein,
s4, calculating the average value of the voltage of the single-phase meterAverage value of three-phase voltage of general meter The difference values of (HAm, HBm, HCm,
s5, calculating standard deviations of the single-phase table to A, B, C three phases respectively,
s6, obtaining the voltage phase of the single-phase table according to the three standard deviations obtained in the step S5;
s7, executing steps S1-S6 for each single-phase table user to obtain the voltage phase connected with each single-phase table.
2. The Bezier algorithm-based station zone phase identification method according to claim 1, wherein: the step S6 specifically refers to comparing the three standard deviation values, and selecting the phase corresponding to the minimum standard deviation value as the phase of the voltage connected to the single-phase meter.
3. The Bezier algorithm-based station zone phase identification method according to claim 2, wherein: and if the obtained three standard difference values are all larger than Z, judging that an error occurs, and reporting the error.
4. The Bezier algorithm-based station zone phase identification method according to claim 1, wherein: a step of verifying this resulting voltage phase needs to be inserted between step S6 and step S7.
5. The Bezier algorithm-based station zone phase identification method according to claim 4, wherein: the step of verifying is to repeat steps S1-S6 for this single phase table and then compare the obtained results with the previous results.
6. The Bezier algorithm-based station zone phase identification method according to claim 5, wherein: the step of verifying is that the steps S1-S6 are repeated twice on the single-phase table, then the three results obtained in total are compared to judge whether the results are the same or not, if the results are the same, the obtained results are judged to be correct, if the results are not the same, an error is judged to occur, and the error is reported.
7. The Bezier algorithm-based station zone phase identification method according to claim 1, wherein: w is 15 minutes.
8. The Bezier algorithm-based station zone phase identification method according to claim 1, wherein: and Y is 1 day.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109799474A (en) * | 2019-03-25 | 2019-05-24 | 国网山东省电力公司电力科学研究院 | A kind of multi-epitope electricity box electric energy meter phase recognition methods and system based on data dependence |
CN109991512A (en) * | 2019-02-22 | 2019-07-09 | 江苏方天电力技术有限公司 | Based on the synchronous low-tension distribution box user's phase big data discrimination method of sudden load change |
CN110011063A (en) * | 2019-04-11 | 2019-07-12 | 电子科技大学 | The Meta Materials lens and method of any direction Bezier wave beam are generated based on time reversal |
CN110146743A (en) * | 2019-04-30 | 2019-08-20 | 国网江苏省电力有限公司电力科学研究院 | A kind of area's phase recognition methods |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103063934A (en) * | 2012-12-31 | 2013-04-24 | 国家电网公司 | Three-phase voltage phase distinguishing method |
CN104092481A (en) * | 2014-07-17 | 2014-10-08 | 江苏林洋电子股份有限公司 | Method for distinguishing power distribution area and phase through voltage characteristics |
CN104991110A (en) * | 2015-06-26 | 2015-10-21 | 广东美的制冷设备有限公司 | Voltage abnormity detection method and device for single phase alternating current power supply |
US20160139175A1 (en) * | 2014-11-17 | 2016-05-19 | Renesas Electronics Corporation | Phase correction device, action identification device, action identification system, microcontroller, phase correction method, and program |
CN106383265A (en) * | 2016-08-26 | 2017-02-08 | 北京中宸泓昌科技有限公司 | Transformer area and access phase automatic recognition device and method |
CN106597133A (en) * | 2016-12-15 | 2017-04-26 | 福州大学 | Method and device for recognition and identification of low-voltage power grid single-phase line phase sequence |
CN107271946A (en) * | 2017-06-01 | 2017-10-20 | 宁波迦南智能电气股份有限公司 | A kind of electric energy meter phase recognition methods |
CN107942151A (en) * | 2017-11-29 | 2018-04-20 | 国网湖南省电力有限公司 | A kind of separate measuring method of taiwan area low voltage three-phase circuit and device based on voltage over zero detection |
-
2018
- 2018-04-24 CN CN201810370397.1A patent/CN108957092A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103063934A (en) * | 2012-12-31 | 2013-04-24 | 国家电网公司 | Three-phase voltage phase distinguishing method |
CN104092481A (en) * | 2014-07-17 | 2014-10-08 | 江苏林洋电子股份有限公司 | Method for distinguishing power distribution area and phase through voltage characteristics |
US20160139175A1 (en) * | 2014-11-17 | 2016-05-19 | Renesas Electronics Corporation | Phase correction device, action identification device, action identification system, microcontroller, phase correction method, and program |
CN104991110A (en) * | 2015-06-26 | 2015-10-21 | 广东美的制冷设备有限公司 | Voltage abnormity detection method and device for single phase alternating current power supply |
CN106383265A (en) * | 2016-08-26 | 2017-02-08 | 北京中宸泓昌科技有限公司 | Transformer area and access phase automatic recognition device and method |
CN106597133A (en) * | 2016-12-15 | 2017-04-26 | 福州大学 | Method and device for recognition and identification of low-voltage power grid single-phase line phase sequence |
CN107271946A (en) * | 2017-06-01 | 2017-10-20 | 宁波迦南智能电气股份有限公司 | A kind of electric energy meter phase recognition methods |
CN107942151A (en) * | 2017-11-29 | 2018-04-20 | 国网湖南省电力有限公司 | A kind of separate measuring method of taiwan area low voltage three-phase circuit and device based on voltage over zero detection |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109991512A (en) * | 2019-02-22 | 2019-07-09 | 江苏方天电力技术有限公司 | Based on the synchronous low-tension distribution box user's phase big data discrimination method of sudden load change |
CN109991512B (en) * | 2019-02-22 | 2021-07-13 | 江苏方天电力技术有限公司 | Low-voltage distribution box user phase big data identification method based on load sudden change synchronization |
CN109799474A (en) * | 2019-03-25 | 2019-05-24 | 国网山东省电力公司电力科学研究院 | A kind of multi-epitope electricity box electric energy meter phase recognition methods and system based on data dependence |
CN109799474B (en) * | 2019-03-25 | 2021-07-13 | 国网山东省电力公司电力科学研究院 | Multi-epitope meter box electric energy meter phase identification method and system based on data correlation |
CN110011063A (en) * | 2019-04-11 | 2019-07-12 | 电子科技大学 | The Meta Materials lens and method of any direction Bezier wave beam are generated based on time reversal |
CN110011063B (en) * | 2019-04-11 | 2021-11-02 | 电子科技大学 | Method for generating Bessel wave beam in any direction based on time reversal |
CN110146743A (en) * | 2019-04-30 | 2019-08-20 | 国网江苏省电力有限公司电力科学研究院 | A kind of area's phase recognition methods |
CN110146743B (en) * | 2019-04-30 | 2021-05-11 | 国网江苏省电力有限公司电力科学研究院 | Transformer area phase identification method |
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