CN109541396B - Method for extracting effective recording data of fault indicator - Google Patents
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- CN109541396B CN109541396B CN201811426868.2A CN201811426868A CN109541396B CN 109541396 B CN109541396 B CN 109541396B CN 201811426868 A CN201811426868 A CN 201811426868A CN 109541396 B CN109541396 B CN 109541396B
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
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Abstract
The invention discloses a method for extracting effective recording data of a fault indicator, which specifically comprises the following steps: step 1: obtaining all wave recording data within delta t time to form a wave recording data set U; step 2: recording wave recording data on the same bus in a wave recording data set U to form a group of wave recording data S; and step 3: judging the number of the wave recording data in the S to be k, wherein k is larger than a threshold value M, considering the wave recording data in the S to be effective data, and otherwise, entering a step 4; and 4, step 4: obtaining zero sequence current energy and maximum current energy W of each wave recording data in SmaxGreater than an energy threshold WYAnd if not, all the wave recording data in the S are invalid data. The invention can clear the invalid data in the recording data which is uploaded immediately; the method can screen the existing mass wave recording data in the database, and provides accurate and effective data support for offline study and judgment and fault inversion of the distribution network state based on the fault wave recording data.
Description
Technical Field
The invention belongs to the field of power distribution network fault detection, and particularly relates to a method for extracting effective recording data of a fault indicator.
Background
The transient recording type fault indicator is widely applied to a power distribution line and is a key device for forming power distribution automation. The existing transient recording type fault indicator is mostly started by adopting current (electric field) sudden change, and meanwhile, a lower protection fixed value is set for improving the detection sensitivity. The method is beneficial to recording instantaneous faults, but the field environment is complex, changeable and complex, and electromagnetic disturbance easily causes false start of a fault indicator, so that a large amount of invalid data is contained in the recording data. In 2018, from 1 month to 31 months 5, a large data platform of a certain power-saving company receives 5151 fault indicator grounding alarm signals, and the false alarm rate reaches 47.13% after verifying 2428 false alarm signals. Therefore, the method and the device have the advantages that the recording data are cleaned, effective fault recording data are obtained, and the method and the device have important significance for improving the current power distribution network state monitoring and fault research and judgment level.
On one hand, the range of the influence of electromagnetic disturbance is limited, fault indicator false start caused by the disturbance generally only involves a few fault indicators, and the fault can cause a plurality of fault indicators on the same bus to start simultaneously; on the other hand, through analysis of the wave recording data, invalid data energy caused by disturbance is generally lower, valid data energy caused by faults is generally higher, the anti-interference performance of the current sensor is stronger than that of the electric field sensor, and the reliability of the current energy is higher. Therefore, effective data in the fault indicator can be identified according to the space-time distribution rule and the current energy characteristics of the fault indicator during wave recording starting.
Disclosure of Invention
In the current state of the art, the invention provides a method for extracting effective wave recording data of a fault indicator, which is used for clearing invalid data in the effective wave recording data through a time-space distribution rule and current energy characteristics of wave recording starting of the fault indicator to obtain effective fault data. When the big data platform detects that the wave recording data are uploaded, the line position of the fault indicator of the wave recording data in the same time period is detected, and whether the fault indicator is effective data is judged according to the magnitude of current energy in the wave recording data.
According to the time-space distribution rule and the zero sequence current energy characteristic of the wave recording start of the fault indicator, effective fault data in the wave recording data are extracted; the method is characterized in that: the method specifically comprises the following steps:
step 1: when the master station detects that the recorded wave data are uploaded, timing is started to obtain all the uploaded recorded wave data within delta t time, and a recorded wave data set U is formed;
step 2: recording the wave recording data of the fault indicators on the same bus into a group of wave recording data S in a wave recording data set U according to the dynamic topology of the power distribution network;
and step 3: judging whether the number of the wave recording data in the S is k and whether k is larger than a number threshold value M, if so, considering the wave recording data in the S as effective data, and otherwise, entering a step 4;
and 4, step 4: obtaining zero sequence current energy of each wave recording data in S, and judging maximum current energy WmaxWhether or not it is greater than the energy threshold WYIf greater thanWYJudging that the wave recording data in the S are valid data, otherwise, judging that all the wave recording data in the S are invalid data;
all valid data in step 3 and step 4 are valid recording data of the fault indicator.
The method for setting delta t in the step 1 comprises the following steps: counting the time scales of the effective wave recording data groups, and taking delta t as the maximum interval of the wave recording data time scales uploaded by fault indicators arranged at different positions when the same fault occurs; the fault indicator equipped with GPS time synchronization is subject to the time tag of the wave recording data; and for the fault indicator which is not provided with the GPS time pair, the time of the master station receiving the data is used as the standard.
The method for setting the numerical threshold M in the step 3 comprises the following steps: and counting the recording quantity of the effective recording data set, and taking M as 10-30% of the total number of the fault indicators arranged on the current bus.
The method for calculating the zero sequence current energy of the wave recording data in the step 4 comprises the following steps:
if there are k pieces of wave recording data in S, the zero sequence current energy of the ith wave recording data is:
in the formula ii(T) represents the zero sequence current in the ith wave recording data, wherein T is a period;
maximum current energy WmaxThe method is characterized in that the method is zero sequence current energy corresponding to one recording data with the maximum fault energy, namely:
Wmax＝max(W1,W2,…,Wk)。
threshold value W in step 4YThe setting method comprises the following steps: comparing the zero sequence current energy of a large number of valid data sets with that of invalid data sets, and taking WYThe minimum value of the zero sequence current energy in all the effective data sets.
The invention has the beneficial effects that:
the invention provides a method for extracting effective wave recording data of a fault indicator, which mainly solves the problems of poor anti-interference performance, easy false start and large amount of invalid data uploading of the current fault indicator. The significance is very important: on one hand, effective fault data in the wave recording data uploaded immediately can be extracted, study and judgment of a master station on ineffective data are reduced, and the occupation of calculation space is prevented; on the other hand, the method can also screen the existing mass wave recording data in the database, and provides accurate and effective data support for offline study and judgment of the distribution network state and fault inversion based on the fault wave recording data.
Drawings
FIG. 1 is a flow chart of effective recording data extraction for a fault indicator;
FIG. 2 is a diagram of a typical distribution network line topology;
FIG. 3 is a typical active recording data;
fig. 4 is a typical data of invalid recording.
Detailed Description
The present invention will be described in further detail with reference to the following drawings and examples, but it should not be construed that the scope of the above-described subject matter of the present invention is limited to the following examples. Various substitutions and alterations can be made without departing from the technical idea of the invention and the scope of the invention is covered by the present invention according to the common technical knowledge and the conventional means in the field.
A fault indicator effective recording data extraction method is disclosed, the identification process is shown in figure 1, and the method comprises the following steps: step 1: when the master station detects that the recorded wave data are uploaded, timing is started to obtain all the uploaded recorded wave data within delta t time, and a recorded wave data set U is formed; step 2: recording the wave recording data of the fault indicators on the same bus into a group of wave recording data S in a wave recording data set U according to the dynamic topology of the power distribution network; and step 3: judging whether the number of the wave recording data in the S is k and whether k is larger than a number threshold value M, if so, considering the wave recording data in the S as effective data, and otherwise, entering a step 4; and 4, step 4: obtaining zero sequence current energy of each wave recording data in S, and judging maximum current energy WmaxWhether or not it is greater than the energy threshold WYIf it is greater than WYConsidering the recording data in S as valid dataOtherwise, all the wave recording data in the S are invalid data; all valid data in step 3 and step 4 are valid recording data of the fault indicator.
The method for setting delta t in the step 1 comprises the following steps: counting the time scales of the effective wave recording data groups, and taking delta t as the maximum interval of the wave recording data time scales uploaded by fault indicators arranged at different positions when the same fault occurs; the fault indicator equipped with GPS time synchronization is subject to the time tag of the wave recording data; and for the fault indicator which is not provided with the GPS time pair, the time of the master station receiving the data is used as the standard. The existing fault indicator wave recording data may have errors in time service, so that certain time intervals are allowed to exist in wave recording time labels uploaded by fault indicators arranged at different positions. The existing fault recording data is analyzed, and the time labels of the fault data of the recording data uploaded by the fault indicators at different positions are at most 5s different for the same fault, so that the delta t can be 5 s.
The method for setting the numerical threshold M in the step 3 comprises the following steps: and counting the recording quantity of the effective recording data set, and taking M as 10-30% of the total number of the fault indicators arranged on the current bus.
The method for calculating the zero sequence current energy of the wave recording data in the step 4 comprises the following steps:
if there are k pieces of wave recording data in S, the zero sequence current energy of the ith wave recording data is:
in the formula ii(T) represents the zero sequence current in the ith wave recording data, wherein T is a period;
maximum current energy WmaxThe method is characterized in that the method is zero sequence current energy corresponding to one recording data with the maximum fault energy, namely:
Wmax＝max(W1,W2,…,Wk)。
threshold value W in step 4YThe setting method comprises the following steps: comparing the current energy of a large number of valid data sets with that of invalid data sets, and taking WYThe minimum value of the current energy in all valid data sets.
The setting method of the fault indicator starting number threshold M in the step 3 is as follows:
a line structure of 17 pole towers with 6 outgoing lines of 2 sections of buses in a certain transformer substation is shown in figure 2, wherein 8 fault indicators are arranged on the I section of the bus, and 9 fault indicators are arranged on the II section of the bus. Statistics were performed on 2016 log data (some faults occurred during bus parallel operation) and the results are shown in table 1. It can be seen that when the number of wave recording starts within 5s is greater than 4, the wave recording data are all valid data, and therefore M may be 4.
TABLE 1 2016 year fault recording data for a certain transformer substation
In step 4, the calculation formula of the zero-sequence current energy is as follows:
in the formula ikAnd (T) represents the zero sequence current in the kth wave recording data, T is a cycle (0.02s), and the zero sequence current energy of the group of data is the zero sequence current energy corresponding to one wave recording data with the maximum zero sequence current energy. Fig. 3 and 4 are oscillograms of valid data and invalid data, respectively, and it can be seen that the zero-sequence current energy of the valid data is much larger than that of the invalid data.
The setting method of the current energy threshold W in the step 4 is as follows:
and (3) counting zero sequence current energy of 16 groups of wave recording data (8 groups of fault data and disturbance data) with 4 fault indicators in 5s in the transformer substation for starting wave recording, wherein the fault data and the disturbance data are shown in table 2, and the name format of a wave recording file is (line name) (pole tower number) (wave recording date) (wave recording time). It can be seen that the zero sequence current energy of the fault data is all greater than 1A2·s，The zero sequence current energy of disturbance data is less than 1A2S. Therefore, it is preferable that W is 1A2·s。
TABLE 2 statistics of current energy for recorded data
Although the embodiments and the effectiveness of the present invention have been described and verified with reference to the drawings, it is not limited to the scope of the present invention, and it should be understood by those skilled in the art that various modifications or variations can be made without inventive efforts based on the technical solutions of the present invention.
Claims (5)
1. A method for extracting effective recording data of a fault indicator is characterized by comprising the following steps: extracting effective fault data in the wave recording data according to a time-space distribution rule and zero-sequence current energy characteristics of wave recording starting of the fault indicator; the method specifically comprises the following steps:
step 1: when the master station detects that the recorded wave data are uploaded, timing is started to obtain all the uploaded recorded wave data within delta t time, and a recorded wave data set U is formed;
step 2: recording the wave recording data of the fault indicators on the same bus into a group of wave recording data S in a wave recording data set U according to the dynamic topology of the power distribution network;
and step 3: judging whether the number of the wave recording data in the S is k and whether k is larger than a number threshold value M, if so, considering the wave recording data in the S as effective data, and otherwise, entering a step 4;
and 4, step 4: obtainingJudging the zero sequence current energy of each wave recording data in S to judge the maximum current energy WmaxWhether or not it is greater than the energy threshold WYIf it is greater than WYJudging that the wave recording data in the S are valid data, otherwise, judging that all the wave recording data in the S are invalid data;
all valid data in step 3 and step 4 are valid recording data of the fault indicator.
2. The method for extracting the effective recording data of the fault indicator as claimed in claim 1, wherein: the method for setting delta t in the step 1 comprises the following steps: counting the time scales of the effective wave recording data groups, and taking delta t as the maximum interval of the wave recording data time scales uploaded by fault indicators arranged at different positions when the same fault occurs; the fault indicator equipped with GPS time synchronization is subject to the time tag of the wave recording data; and for the fault indicator which is not provided with the GPS time pair, the time of the master station receiving the data is used as the standard.
3. The method for extracting the effective recording data of the fault indicator as claimed in claim 1, wherein: the method for setting the numerical threshold M in the step 3 comprises the following steps: and counting the recording quantity of the effective recording data set, and taking M as 10-30% of the total number of the fault indicators arranged on the current bus.
4. The method for extracting the effective recording data of the fault indicator as claimed in claim 1, wherein: the method for calculating the zero sequence current energy of the wave recording data in the step 4 comprises the following steps:
if there are k pieces of wave recording data in S, the zero sequence current energy of the ith wave recording data is:
in the formula ii(T) represents the zero sequence current in the ith wave recording data, wherein T is a period;
maximum current energy WmaxRecording data for one of which fault energy is maximumThe corresponding zero sequence current energy, namely:
Wmax＝max(W1,W2,…,Wk)。
5. the method for extracting the effective recording data of the fault indicator as claimed in claim 1, wherein: threshold value W in step 4YThe setting method comprises the following steps: comparing the zero sequence current energy of a large number of valid data sets with that of invalid data sets, and taking WYThe minimum value of the zero sequence current energy in all the effective data sets.
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