CN109993447A - Electric energy quality for substation data recovery method - Google Patents
Electric energy quality for substation data recovery method Download PDFInfo
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- CN109993447A CN109993447A CN201910276158.4A CN201910276158A CN109993447A CN 109993447 A CN109993447 A CN 109993447A CN 201910276158 A CN201910276158 A CN 201910276158A CN 109993447 A CN109993447 A CN 109993447A
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- 230000002123 temporal effect Effects 0.000 claims abstract description 17
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims description 6
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Abstract
The invention discloses electric energy quality for substation data recovery methods;Steps are as follows: firstly, disposing the data monitoring host of the power quality, obtaining several Power Quality Transient Disturbances;Then, the transient event abnormal data of the power quality is rejected, the normal several Power Quality Transient Disturbances of Temporal Data index are obtained;Finally, repairing the transient event data of the power quality.The present invention is based on the propagation characteristics of power disturbance, are supplemented by the method for finding similar record missing data, can effectively avoid the adverse effect generated due to data transmission capacity is excessive to the transmission quality of data in the prior art.
Description
Technical field
The present invention relates to Power Quality Monitoring Technology fields, in particular to electric energy quality for substation data recovery method.
Background technique
In recent years, power quality problem is constantly subjected to the common concern of grid company and power consumer.With power quality
Monitoring system gradually builds popularization in each province, how to efficiently use data analysis technique and extracts information from data, it is established that thing
The causality of part, with achieve the purpose that decision support be power quality research attention and valuable development trend it
One.
Before to the analysis of magnanimity power quality data, reliable power quality data pretreatment is crucial.Existing electric energy
In mass monitoring system, the work of power quality abnormal data elimination and missing data reparation is generally in provincial monitoring center.But
It is big that data transmission capacity is easily caused in this way, and the transmission quality of data is not high.
Therefore, it is necessary to be improved to existing Power Quality Monitoring Technology, overcome the deficiencies of existing technologies.
Summary of the invention
In view of the above drawbacks of the prior art, the present invention provides electric energy quality for substation data recovery method, realization
The first purpose is the propagation characteristic based on power disturbance, is supplemented by the method for finding similar record missing data, energy
Enough adverse effects for effectively avoiding in the prior art generating the transmission quality of data due to data transmission capacity is excessive.
To achieve the above object, the invention discloses electric energy quality for substation data recovery methods;Steps are as follows:
A. the data monitoring host for disposing the power quality, obtains several Power Quality Transient Disturbances;
B. the transient event abnormal data of the power quality is rejected, the normal several electricity of Temporal Data index are obtained
It can quality Temporal Data;
C. the transient event data of the power quality are repaired.
Preferably, in the step a, according to prefecture-level power grid layer, each institute is divided by substation topology connection relationship
State the affiliated section of quality monitoring terminal of electric energy, the measurement information of the same section power quality accordingly summarizes to same
One power quality data monitoring host computer.
It is furthermore preferred that each electric energy quality monitoring terminal is divided to by substation's power network topology connection relationship
Various zones, geographical location is adjacent in power grid and belongs in the presence of each electric energy quality monitoring terminal of electrical connection same
A power quality data monitoring host computer is disposed in the section, each section respectively.
Preferably, in the step b, standard is defined according to the transient event of the power quality, the step a is obtained
The Power Quality Transient number that the transient event defines standard is unsatisfactory in several Power Quality Transient Disturbances taken
According to rejecting.
It is furthermore preferred that including following event type: voltage dip, voltage interruption and electricity in the Power Quality Transient Disturbance
Pressure temporarily rises;The transient event of the power quality defines the abnormal data judge index of standard are as follows: single-phase voltage positive and negative deviation and
The transient event duration.
Preferably, normal to Temporal Data index respectively in the step c, but there are the several described of shortage of data
Power Quality Transient Disturbance is repaired.
It is furthermore preferred that the reparation is divided into two stages:
It is first stage, normal for Temporal Data index, but there are several Power Quality Transient numbers of shortage of data
According to using the GPS clock signal of sampled data, several Power Quality Transient Disturbances that the time is closed on are divided to same temporary
State event sets, time judgment threshold are set as 0.1s;
Second stage, to the shortage of data of each Power Quality Transient Disturbance in the same transient event set
Record calculates each shortage of data record and remaining described electric energy in affiliated set using Euclidean distance calculation
Correlation between quality Temporal Data, and according to the correlation, by maximally related institute in the corresponding transient event set
It states Power Quality Transient Disturbance and is supplemented to the corresponding missing record.
It is furthermore preferred that the Euclidean distance calculation, calculates in each shortage of data record and affiliated set
Correlation between remaining described Power Quality Transient Disturbance, specific targets include: substation information, voltage magnitude and electric current width
Value.
Beneficial effects of the present invention:
The present invention is based on the propagation characteristics of power disturbance, are mended by the method for finding similar record to missing data
It fills, can effectively avoid the adverse effect generated due to data transmission capacity is excessive to the transmission quality of data in the prior art.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 shows the flow chart of one embodiment of the invention.
Fig. 2 shows the deployment of the hardware of one embodiment of the invention and system architecture schematic diagrames.
The power quality data that Fig. 3 shows one embodiment of the invention repairs schematic diagram.
Specific embodiment
Embodiment
As shown in Figure 1 to Figure 3, electric energy quality for substation data recovery method;Steps are as follows:
A. the data monitoring host for disposing the power quality, obtains several Power Quality Transient Disturbances;
B. the transient event abnormal data of the power quality is rejected, the normal several electricity of Temporal Data index are obtained
It can quality Temporal Data;
C. the transient event data of the power quality are repaired.
The principle of the invention lies in lead data summarization to the same monitoring of identical regional electric energy quality monitoring terminal acquisition
Machine;Then, power quality data preprocessor is disposed in each monitoring host computer.
For due to measurement or communications facility exception, it will cause power quality data abnormal or the adverse effect of missing;
The present invention is based on the propagation characteristic of power disturbance, i.e., Power Quality Transient event data caused by same disturbing source has similar
Disturbance waveform supplements missing data by the method for finding similar record.
In certain embodiments, it in the step a, according to prefecture-level power grid layer, is drawn by substation topology connection relationship
The affiliated section of quality monitoring terminal of point each electric energy, the measurement information of the same section power quality accordingly
Summarize to same power quality data monitoring host computer.
In certain embodiments, each electric energy quality monitoring terminal presses substation's power network topology connection relationship
Various zones are divided to, geographical location is adjacent in power grid and there is each electric energy quality monitoring terminal category of electrical connection
In the same section, a power quality data monitoring host computer is disposed in each section respectively.
In certain embodiments, in the step b, standard is defined according to the transient event of the power quality, by institute
It states in several Power Quality Transient Disturbances of step a acquisition and is unsatisfactory for the electric energy matter that the transient event defines standard
Temporal Data is measured to reject.
It in certain embodiments, include following event type in the Power Quality Transient Disturbance: in voltage dip, voltage
Disconnected and voltage swell;The transient event of the power quality defines the abnormal data judge index of standard are as follows: single-phase voltage is positive and negative
Deviation and transient event duration.
In certain embodiments, normal to Temporal Data index respectively in the step c, but there are shortage of data
Several Power Quality Transient Disturbances are repaired.
In certain embodiments, the reparation is divided into two stages:
It is first stage, normal for Temporal Data index, but there are several Power Quality Transient numbers of shortage of data
According to using the GPS clock signal of sampled data, several Power Quality Transient Disturbances that the time is closed on are divided to same temporary
State event sets, time judgment threshold are set as 0.1s;
Second stage, to the shortage of data of each Power Quality Transient Disturbance in the same transient event set
Record calculates each shortage of data record and remaining described electric energy in affiliated set using Euclidean distance calculation
Correlation between quality Temporal Data, and according to the correlation, by maximally related institute in the corresponding transient event set
It states Power Quality Transient Disturbance and is supplemented to the corresponding missing record.
In certain embodiments, the Euclidean distance calculation, calculate each shortage of data record with it is affiliated
Correlation in gathering between remaining described Power Quality Transient Disturbance, specific targets include: substation information, voltage magnitude and electricity
Flow amplitude.
Assuming that there is i, j Liang Ge substation, feature vector is respectively xi, xj, with xiFor, xi=[xi1,xi2,...,
xik,...,xim], wherein xikFor the mapping value of k-th of correlative factor, m is the number of correlative factor, the present invention with substation, adopt
For sampling point voltage magnitude, current amplitude.
Similarity rijCloser to 1, illustrate substation i, the part throttle characteristics of j is closer.About rijThe expression formula of Euclidean distance
It is as follows:
In formula: α and β is the relevant parameter of Euclidean distance.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be within the scope of protection determined by the claims.
Claims (8)
1. electric energy quality for substation data recovery method;Steps are as follows:
A. the data monitoring host for disposing the power quality, obtains several Power Quality Transient Disturbances;
B. the transient event abnormal data of the power quality is rejected, the normal several electric energy matter of Temporal Data index are obtained
Measure Temporal Data;
C. the transient event data of the power quality are repaired.
2. electric energy quality for substation data recovery method according to claim 1, which is characterized in that in the step a,
According to prefecture-level power grid layer, the affiliated section of quality monitoring terminal of each electric energy is divided by substation topology connection relationship,
The measurement information of the same section power quality accordingly summarizes to same power quality data monitoring host computer.
3. electric energy quality for substation data recovery method according to claim 2, which is characterized in that each electric energy matter
Amount monitoring terminal be divided to various zones by substation's power network topology connection relationship, in power grid geographical location it is adjacent and
There are each electric energy quality monitoring terminals of electrical connection to belong to the same section, and each section disposes one respectively
Platform power quality data monitoring host computer.
4. electric energy quality for substation data recovery method according to claim 1, which is characterized in that in the step b,
Standard is defined according to the transient event of the power quality, several Power Quality Transient Disturbances that the step a is obtained
In be unsatisfactory for the transient event define standard the Power Quality Transient Disturbance reject.
5. electric energy quality for substation data recovery method according to claim 4, which is characterized in that the power quality is temporary
It include following event type: voltage dip, voltage interruption and voltage swell in state data;The transient event of the power quality is fixed
The abnormal data judge index of adopted standard are as follows: single-phase voltage positive and negative deviation and transient event duration.
6. electric energy quality for substation data recovery method according to claim 1, which is characterized in that in the step c,
It is normal to Temporal Data index respectively, but there are several Power Quality Transient Disturbances of shortage of data to be repaired.
7. electric energy quality for substation data recovery method according to claim 6, which is characterized in that the reparation is divided into two
A stage:
It is first stage, normal for Temporal Data index, but there are several Power Quality Transient Disturbances of shortage of data, benefits
With the GPS clock signal of sampled data, several Power Quality Transient Disturbances that the time is closed on are divided to same transient state thing
Part set, time judgment threshold are set as 0.1s;
Second stage remembers the shortage of data of each Power Quality Transient Disturbance in the same transient event set
Record calculates each shortage of data record and remaining described electric energy matter in affiliated set using Euclidean distance calculation
The correlation between Temporal Data is measured, and according to the correlation, it will be maximally related described in the corresponding transient event set
Power Quality Transient Disturbance is supplemented to the corresponding missing record.
8. electric energy quality for substation data recovery method according to claim 7, which is characterized in that the Euclidean distance meter
It is related between remaining described Power Quality Transient Disturbance in affiliated set to calculate each shortage of data record for calculation mode
Property, specific targets include: substation information, voltage magnitude and current amplitude.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6545482B1 (en) * | 2000-09-22 | 2003-04-08 | Nxtphase Technology Srl | Monitoring wide area dynamic swing recordings on an electrical power system |
CN102158550A (en) * | 2011-03-03 | 2011-08-17 | 河南电力试验研究院 | IEC61850-based power quality transient data transmission method |
CN103489066A (en) * | 2013-09-13 | 2014-01-01 | 深圳供电局有限公司 | Analysis method for monitoring information and data of highlight area of power quality transient state event |
-
2019
- 2019-04-08 CN CN201910276158.4A patent/CN109993447A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6545482B1 (en) * | 2000-09-22 | 2003-04-08 | Nxtphase Technology Srl | Monitoring wide area dynamic swing recordings on an electrical power system |
CN102158550A (en) * | 2011-03-03 | 2011-08-17 | 河南电力试验研究院 | IEC61850-based power quality transient data transmission method |
CN103489066A (en) * | 2013-09-13 | 2014-01-01 | 深圳供电局有限公司 | Analysis method for monitoring information and data of highlight area of power quality transient state event |
Non-Patent Citations (1)
Title |
---|
林顺富 等: "数据挖掘在电能质量监测数据分析中的应用", 《电测与仪表》 * |
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