CN109799474B - Multi-epitope meter box electric energy meter phase identification method and system based on data correlation - Google Patents

Multi-epitope meter box electric energy meter phase identification method and system based on data correlation Download PDF

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CN109799474B
CN109799474B CN201910227383.9A CN201910227383A CN109799474B CN 109799474 B CN109799474 B CN 109799474B CN 201910227383 A CN201910227383 A CN 201910227383A CN 109799474 B CN109799474 B CN 109799474B
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phase
electric energy
meter
energy meter
voltage
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CN109799474A (en
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邵志敏
李立生
张世栋
张林利
张秉良
张都清
孙勇
樊迪
刘合金
刘洋
冷春田
王泽元
王峰
苏国强
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Shanghai Holystar Information Technology Co ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
Shandong Zhongshi Yitong Group Co Ltd
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Shanghai Holystar Information Technology Co ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
Shandong Zhongshi Yitong Group Co Ltd
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Abstract

The invention discloses a multi-meter-position meter box electric energy meter phase identification method based on data correlation.A meter box monitoring unit is electrified, the similarity between the voltage of a single-phase electric energy meter and the voltage of a three-phase electric energy meter is compared, and the membership phase of the single-phase electric energy meter is determined according to the closest voltage; and the meter box monitoring unit operates normally, continuously compares the change trends of the voltage values and the three-phase voltage values of the collected multiple groups of single-phase electric energy meters, and corrects the membership phase of the single-phase electric energy meter according to the closest change trend. The invention also discloses a multi-meter-position meter box electric energy meter phase recognition system based on data correlation, which comprises a meter box monitoring unit, a multi-meter-position meter box, a three-phase switch and a single-phase electric energy meter, and the system realizes the on-line automatic recognition of the phase of the single-phase electric energy meter by applying a data correlation algorithm combining static recognition and dynamic recognition, can automatically revise the power supply phase of the single-phase electric energy meter in the meter box, and forms a more accurate electric energy meter phase recognition result.

Description

Multi-epitope meter box electric energy meter phase identification method and system based on data correlation
Technical Field
The invention relates to the field of information processing and identification of a power system, in particular to a multi-meter-position meter box electric energy meter phase identification method and system based on data correlation.
Background
With the fact that the construction of a power utilization information acquisition system of a national power grid company enters a deepened application stage and the ubiquitous Internet of things is provided, the management requirement of lean line loss analysis is higher and higher, at present, the line loss analysis of a transformer area cannot carry out item line loss calculation due to the fact that the phase relation of resident users is unclear, particularly in urban low-voltage power distribution networks, and the lean management requirement is difficult to meet.
Aiming at the problem that the phase membership of residential users in a low-voltage distribution network area, particularly urban residential users, is inaccurate, the current processing schemes include four types: (1) the scheme is easy to cause management reasons such as recording errors or system entry errors and the like to cause the phase errors of the electric meters of the residential users; (2) the RS485 electric energy meter is replaced by a carrier electric energy meter, the phase of the electric energy meter is identified by utilizing a carrier networking mode, and the identification accuracy of the household variable relation of the scheme is not high due to serious carrier crosstalk of a power line, so that the phase membership of the electric energy meter of a resident user is influenced; (3) the phase of the resident user is judged in a power failure mode, the scheme is easy to cause the reduction of power supply reliability, and the scheme has large workload and is not easy to implement; (4) the electric energy meter is measured one by one through a handheld device or a tool, and the scheme has large workload and is not easy to implement.
In conclusion, the existing solution for inaccurate phase membership of the residential users in the low-voltage distribution network area is difficult to support the calculation requirement of the phase line loss of the area of the national power grid company.
Disclosure of Invention
In order to solve the problems, the invention provides a multi-meter-position meter box electric energy meter phase identification method and system based on data correlation.
In order to achieve the purpose, the invention adopts the following technical scheme:
a multi-epitope electric energy meter phase recognition method based on data correlation is characterized in that,
electrifying a meter box monitoring unit, comparing the similarity between the voltage of the collected single-phase electric energy meter and the three-phase voltage, and determining the membership phase of the single-phase electric energy meter according to the closest voltage;
and the meter box monitoring unit operates normally, continuously compares the change trends of the voltage values and the three-phase voltage values of the collected multiple groups of single-phase electric energy meters, and corrects the membership phase of the single-phase electric energy meter according to the closest change trend.
Further, the method specifically comprises the following steps:
1) the meter box monitoring unit is electrified and operated, and a related variable storage space is initialized;
2) a, B, C three-phase voltage values and voltage values of each single-phase electric energy meter are obtained and stored in corresponding storage spaces;
3) calculating A, B, C absolute values of differences among three-phase voltages, respectively comparing the absolute values with preset thresholds, and if the absolute value of the difference of any one or more than one of the three-phase voltages is larger than the threshold, executing the step 4), otherwise, executing the step 5);
4) entering a static identification step, comparing the similarity of the voltage value of each single-phase electric energy meter and each phase voltage value, and determining and recording the phase membership of each single-phase electric energy meter;
5) entering a dynamic identification step, acquiring a plurality of groups of three-phase voltage values and voltage values of each single-phase electric energy meter by a meter box monitoring unit, analyzing and comparing the similarity of the change trend of the three-phase voltage values and the voltage values of each single-phase electric energy meter through data correlation, and correcting and recording the phase membership of each single-phase electric energy meter;
6) and step 5) is repeated, and the phase membership of the single-phase electric energy meter is continuously corrected and recorded.
Further, in step 4), the method for comparing the similarity between the voltage value of each single-phase electric energy meter and the voltage value of each phase comprises: and respectively calculating the absolute value of the difference between the voltage value of the single-phase electric energy meter and the voltage value of the three phases of A, B, C, wherein the minimum absolute value of the difference is the subordinate phase of the single-phase electric energy meter.
Further, the specific method for comparing the similarity of the variation trends in the step 5) through data correlation analysis comprises the following steps: and respectively fitting the acquired single-phase electric energy meter and A, B, C three-phase voltage value data by using a least square method, wherein the closest to the slope of the single-phase electric energy meter in the fitting result is the membership phase of the single-phase electric energy meter.
Further, the specific process of step 5) is as follows:
51) acquiring terminal time until a preset acquisition time interval;
52) judging the number of the stored voltage values, if the number exceeds the preset value, executing the step 53), and if not, executing the step 54);
53) eliminating the voltage value with the earliest acquisition time, and reserving a data storage space for storing the current voltage value to be acquired;
54) collecting and storing the voltage value of each single-phase electric energy meter and the A, B, C three-phase voltage value;
55) calculating the absolute value of the difference between the front voltage value and the rear voltage value of each single-phase electric energy meter and the absolute value of the difference between the front voltage value and the rear voltage value of each phase voltage in the three-phase voltage values;
56) judging the absolute value number of the difference of the obtained voltage values, if the absolute value number does not reach a preset value of-1, executing the step 51), otherwise, executing the step 57);
57) and fitting by using a least square method, wherein the phase closest to the slope of the single-phase electric energy meter is the subordinate phase of the single-phase electric energy meter.
Further, the meter box monitoring unit collects the voltage of the single-phase electric energy meter through RS 485.
The invention also provides a multi-meter-position meter box electric energy meter phase recognition system based on data correlation, which realizes electric energy meter phase recognition by using the method, and comprises a meter box monitoring unit, a multi-meter-position meter box, a three-phase switch and a single-phase electric energy meter, wherein the meter box monitoring unit has a three-phase alternating current sampling function, and is connected with all single-phase electric energy meters in the multi-meter-position meter box through RS485 and is connected with a three-phase switch outgoing line side through an electric wire.
The invention has the beneficial effects that:
1. for single-phase meter users in the multi-meter-position meter box, the phase membership of the single-phase meter is increased on the basis of the original household variation relation, the basic variable-household-phase relation file is further enriched, the calculation requirement of the line loss of the district phase can be met, and the technical support is provided for the development and application of advanced services such as lean line loss analysis and the like.
2. The meter box monitoring unit applies a data correlation algorithm combining static identification and dynamic identification, online automatic identification of the phase of the single-phase electric energy meter is achieved, phase relation changes of the single-phase electric energy meter caused by service requirements such as user load equality adjustment caused by meter rotation and load unbalance of the electric energy meter of a power company can be automatically identified in a quasi-real time mode, a large amount of manpower and financial resources are saved, and the method has obvious advantages compared with other identification methods.
3. The voltage change trend of each single-phase electric energy meter is continuously and automatically compared with the voltage change trend of the meter box monitoring unit A, B, C, the power supply phase of the single-phase electric energy meter in the meter box is automatically revised, and the characteristic that voltage change is caused by using a high-power electric appliance in a wrong time period by a resident is utilized, so that a more accurate electric energy meter phase identification result is formed.
Drawings
FIG. 1 is a schematic diagram of an application scenario of the present invention;
FIG. 2 is a flow chart of the method of the present invention;
fig. 3 is a flow chart of an embodiment of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in figure 1, the invention relates to a multi-meter-position meter box electric energy meter phase recognition system based on data correlation, which is constructed in a low-voltage distribution network urban resident multi-meter-position meter box three-phase centralized power supply system and comprises a meter box monitoring unit, a multi-meter-position meter box, a three-phase switch and a single-phase electric energy meter, wherein the meter box monitoring unit is arranged in the multi-meter-position meter box, and the meter box monitoring unit is connected with all RS485 single-phase electric energy meters in the meter box through RS485 and is connected with a three-phase switch outgoing side through.
As shown in fig. 2, the meter box monitoring unit of the present invention, as a core for implementing phase identification of a multi-meter-position meter box electric energy meter based on data correlation, operates the following steps: static identification step and dynamic identification step. When the meter box monitoring unit is powered on and operated, initializing relevant storage, control and state variables, then acquiring three-phase voltages sampled by the monitoring unit from alternating current and voltage values of each single-phase electric energy meter in the multi-meter-position meter box through RS485, automatically calculating voltage difference values among the three-phase voltages sampled from alternating current, and when the three-phase voltage difference values exceed a certain threshold value, the meter box monitoring unit enters a static identification step, namely automatically judging the similarity between each single-phase meter voltage and the A, B, C phase voltage value of the meter box monitoring unit, and preliminarily determining the phase membership of the single-phase meter; when the three-phase voltage difference value is small, the meter box monitoring unit enters a dynamic identification step, namely the meter box monitoring unit acquires three-phase alternating-current voltage and voltage values of single-phase electric energy meters in the meter box every minute, determines the membership phase relation of the single-phase electric energy meters through data correlation analysis by utilizing the voltage change trend of the last 15 minutes, and continuously revises the membership phase relation of the single-phase electric energy meters through long-term acquisition and monitoring of the voltage change trend between the single-phase electric energy meters and the single-phase electric energy meters.
A flow chart of an embodiment of the present invention is shown in fig. 3. The operation steps of the embodiment are as follows:
the meter box monitoring unit automatically initializes relevant variables after being electrified and operated, acquires three-phase voltage values with alternating current sampling, acquires voltage values of all single-phase electric energy meters in the multi-epitope meter box through RS485 and stores the voltage values into corresponding storage spaces, the meter box monitoring unit automatically calculates absolute values of differences delta ab, delta ac and delta bc between A, B, C phase voltages, automatically judges whether the three-phase voltages are different greatly, respectively calculates the difference delta Va [ i ], deltavb [ i ], [ delta Vci ] (i is 0, i < M, M is the total number of the single-phase meters, i is a data pointer corresponding to a first to M blocks of meters, the same is described below) between each single-phase electric energy meter and A, B, C three-phase voltage with alternating current sampling of the monitoring unit when the difference delta between the three-phase voltages exceeds a certain threshold (for example 0.5V), and acquires the minimum value by comparing the sizes of the delta Va [ i ], [ delta Vb [ i ], therefore, the phase corresponding to the condition that the power supply phase of the ith single-phase electric energy meter is subordinate to the minimum value is preliminarily determined (namely, a static identification step); and when the difference value delta between the three-phase voltages of the meter box monitoring unit does not exceed a set threshold value, the meter box monitoring unit operates a dynamic identification step.
The dynamic identification steps are as follows:
the meter box monitoring unit collects automatic alternating current sampling three-phase voltage every minute and collects the voltage value of each electric energy meter in the multi-meter-position meter box through RS485 and stores the voltage value to a corresponding storage position, data correlation analysis is carried out by utilizing the voltage change trend of the last 15 minutes, namely, the voltage change trend caused by electricity consumption of resident users in wrong time periods is analyzed, and the phase membership relation of the single-phase electric energy meters is automatically corrected.
A first judging step: the meter box monitoring unit acquires the terminal time, automatically judges whether the time 'minute' changes or not, when the time 'minute' does not change, the meter box monitoring unit continues to acquire the terminal clock until the time 'minute' changes, and the meter box monitoring unit carries out the next judgment step.
And a second judgment step: the meter box monitoring unit automatically judges that the number of the stored voltage data exceeds 15, and when the number of the stored voltage data does not exceed 15, the meter box monitoring unit carries out a fourth judgment step; and when the number of the stored voltage data exceeds 15, the meter box monitoring unit carries out the next judgment step.
A third judgment step: the meter box monitoring unit automatically rejects data with a storage space subscript of zero (for example, V0, 15 data storage subscripts correspond to 0-14 respectively), and shifts the following storage data forward by one bit respectively to vacate the last data storage space for storing the current voltage data to be collected, and the meter box monitoring unit performs the next judgment step.
And a fourth judging step: the meter box monitoring unit collects voltage values of the single-phase electric energy meters through RS485 and stores the voltage values into V [ i, j ] (i is 0, i is less than M, j is 0, j is less than 15), self alternate collected three-phase voltage values are obtained and stored into Va [ j ], Vb [ j ], Vc [ j ], (j is 0, j is less than 15), and the meter box monitoring unit carries out the next step of judgment.
A fifth judgment step: the meter box monitoring unit respectively calculates the absolute value of the difference between the front and rear two voltage values of each single-phase electric energy meter and the absolute value of the difference between the front and rear two voltage values of each phase voltage in the self alternating three-phase voltage value, namely:
△Va[k]=|Va[j+1]-Va[j]|,
△Vb[k]=|Vb[j+1]-Vb[j]|
△Vc[k]=|Vc[j+1]-Vc[j]|,
△V[i,k]=|V[i,j+1]-V[i,j]|
(i is 0, i < M, j is 0, j <15, k is 0, k <15), and the meter box monitoring unit performs the next judgment step.
A sixth judging step: the meter box monitoring unit automatically judges whether the number of the voltage value differences delta reaches 14, and when the voltage value differences delta do not reach 14 (namely the recorded voltage data does not reach 15), the meter box detecting unit carries out a first judging step; and when the quantity of the voltage value differences delta reaches 14, the meter box monitoring unit enters the next judgment step.
And a seventh judging step: and fitting delta V [ i, k ] (i is 0, i < M, k is 0, k <15) and delta Va [ k ], (delta Vb [ k ], (delta Vc [ k ]) by a least square method, finding the phase which is closest to the slope of the delta V [ i ] in the delta Va [ k ], (delta Vb [ k ], (delta Vc [ k ]), recording the phase of the single-phase electric energy meter as the corresponding phase, and carrying out the next judgment step by a meter box monitoring unit.
And a judging step eight: and (4) synthesizing the comparison result to form a current multi-meter-position meter box RS485 single-phase electric energy meter phase identification result, and judging the first step again by the meter box monitoring unit to continuously and automatically correct the current phase result.
The method increases the phase membership of the single-phase meter on the basis of the original household variation relationship for the single-phase meter users in the multi-meter-position meter box, further enriches the basic variable-household-phase relationship file, and provides technical support and support for advanced business expansion application such as lean line loss analysis. The method belongs to on-line automatic identification, a meter box monitoring unit applies a data correlation algorithm combining static identification and dynamic identification, the on-line automatic identification of the phase of a single-phase electric energy meter is realized, the phase relation change of the single-phase electric energy meter caused by the service requirements of user load equality adjustment caused by meter rotation and load imbalance of an electric energy meter of a power company can be automatically identified in a quasi-real time manner, a large amount of manpower and financial resources are saved, and the method has obvious advantages compared with other identification methods.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto. Various modifications and alterations will occur to those skilled in the art based on the foregoing description. And are neither required nor exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.

Claims (5)

1. A multi-epitope electric energy meter phase recognition method based on data correlation is characterized in that,
electrifying a meter box monitoring unit, comparing the similarity between the voltage of the collected single-phase electric energy meter and the three-phase voltage, and determining the membership phase of the single-phase electric energy meter according to the closest voltage;
the meter box monitoring unit operates normally, the change trends of the voltage values of the collected multiple groups of single-phase electric energy meters and the three-phase voltage values are continuously compared, and the membership phase of the single-phase electric energy meters is corrected according to the closest change trend;
the method comprises the following specific steps:
1) the meter box monitoring unit is electrified and operated, and a related variable storage space is initialized;
2) a, B, C three-phase voltage values and voltage values of each single-phase electric energy meter are obtained and stored in corresponding storage spaces;
3) calculating A, B, C absolute values of differences among three-phase voltages, respectively comparing the absolute values with preset thresholds, and if the absolute value of the difference of any one or more than one of the three-phase voltages is larger than the threshold, executing the step 4), otherwise, executing the step 5);
4) entering a static identification step, comparing the similarity of the voltage value of each single-phase electric energy meter and each phase voltage value, and determining and recording the phase membership of each single-phase electric energy meter;
5) entering a dynamic identification step, acquiring a plurality of groups of three-phase voltage values and voltage values of each single-phase electric energy meter by a meter box monitoring unit, analyzing and comparing the similarity of the change trend of the three-phase voltage values and the voltage values of each single-phase electric energy meter through data correlation, and correcting and recording the phase membership of each single-phase electric energy meter;
the specific method for comparing the similarity of the change trends through data correlation analysis comprises the following steps: fitting the absolute value of the difference between the front and back two voltage values of each single-phase electric energy meter and the absolute value of the difference between the front and back two voltage values of each phase voltage in the three-phase voltage values by using a least square method, wherein the fitting result which is closest to the slope of the single-phase electric energy meter is the membership phase of the single-phase electric energy meter;
6) and step 5) is repeated, and the phase membership of the single-phase electric energy meter is continuously corrected and recorded.
2. The method for identifying the phases of the multi-meter-position electric energy meter box based on the data correlation as claimed in claim 1, wherein the method for comparing the similarity between the voltage value of each single-phase electric energy meter and the voltage value of each phase in the step 4) comprises the following steps: and respectively calculating the absolute value of the difference between the voltage value of the single-phase electric energy meter and the voltage value of the three phases of A, B, C, wherein the minimum absolute value of the difference is the subordinate phase of the single-phase electric energy meter.
3. The method for identifying the phase of the multi-epitope electric energy meter box based on the data correlation as claimed in claim 1 is characterized in that the specific process of the step 5) is as follows:
51) acquiring terminal time until a preset acquisition time interval;
52) judging the number of the stored voltage values, if the number exceeds the preset value, executing the step 53), and if not, executing the step 54);
53) eliminating the voltage value with the earliest acquisition time, and reserving a data storage space for storing the current voltage value to be acquired;
54) collecting and storing the voltage value of each single-phase electric energy meter and the A, B, C three-phase voltage value;
55) calculating the absolute value of the difference between the front voltage value and the rear voltage value of each single-phase electric energy meter and the absolute value of the difference between the front voltage value and the rear voltage value of each phase voltage in the three-phase voltage values;
56) judging the absolute value number of the difference of the obtained voltage values, if the absolute value number does not reach a preset value of-1, executing the step 51), otherwise, executing the step 57);
57) and fitting by using a least square method, wherein the phase closest to the slope of the single-phase electric energy meter is the subordinate phase of the single-phase electric energy meter.
4. The method for identifying the phase of the multi-meter-position electric energy meter based on the data correlation as claimed in claim 1, wherein the meter box monitoring unit collects the voltage of the single-phase electric energy meter through RS 485.
5. A multi-meter-position meter box electric energy meter phase recognition system based on data correlation is used for realizing electric energy meter phase recognition by using any one method of claims 1-4 and comprises a meter box monitoring unit, a multi-meter-position meter box, a three-phase switch and a single-phase electric energy meter, wherein the meter box monitoring unit is provided with a three-phase alternating current sampling function, the meter box monitoring unit is connected with all the single-phase electric energy meters in the multi-meter-position meter box through RS485 and is connected with a three-phase switch outgoing line side through an electric wire.
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Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110082595B (en) * 2019-06-17 2020-06-02 南方电网数字电网研究院有限公司 Phase identification method and device for resident single-phase electric energy meter and computer equipment
CN110412365B (en) * 2019-08-21 2020-09-01 广东电网有限责任公司 Distribution network low-voltage user load phase checking instrument
CN110333399B (en) * 2019-08-21 2021-05-11 广东电网有限责任公司 Distribution network low-voltage user load phase checking method
CN110749852A (en) * 2019-10-15 2020-02-04 南京林洋电力科技有限公司 Phase identification method based on instantaneous three-phase power unbalance

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN108226672A (en) * 2017-12-14 2018-06-29 国网北京市电力公司 Taiwan area recognition methods, system and device in power distribution network
CN108519514A (en) * 2018-04-24 2018-09-11 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on Pearson correlation coefficient algorithm
CN108535543A (en) * 2018-05-22 2018-09-14 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on concentrator Yu ammeter synchronized sampling
CN108734603A (en) * 2018-05-24 2018-11-02 河南工业大学 Big data phase recognition methods based on cluster
CN108805457A (en) * 2018-06-19 2018-11-13 宁波迦南智能电气股份有限公司 A kind of electric energy meter taiwan area recognition methods of high accuracy
CN108957092A (en) * 2018-04-24 2018-12-07 宁波三星医疗电气股份有限公司 Platform area phase recognition methods based on Bezier algorithm

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI399564B (en) * 2011-01-14 2013-06-21 Finetek Co Ltd Phase difference correcting method of the power meter
US9568522B2 (en) * 2014-10-20 2017-02-14 Itron, Inc. Electrical phase identification
US20170248639A1 (en) * 2016-02-26 2017-08-31 Siemens Industry, Inc. Self-phasing electric meter and automation system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN108226672A (en) * 2017-12-14 2018-06-29 国网北京市电力公司 Taiwan area recognition methods, system and device in power distribution network
CN108519514A (en) * 2018-04-24 2018-09-11 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on Pearson correlation coefficient algorithm
CN108957092A (en) * 2018-04-24 2018-12-07 宁波三星医疗电气股份有限公司 Platform area phase recognition methods based on Bezier algorithm
CN108535543A (en) * 2018-05-22 2018-09-14 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on concentrator Yu ammeter synchronized sampling
CN108734603A (en) * 2018-05-24 2018-11-02 河南工业大学 Big data phase recognition methods based on cluster
CN108805457A (en) * 2018-06-19 2018-11-13 宁波迦南智能电气股份有限公司 A kind of electric energy meter taiwan area recognition methods of high accuracy

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