CN113420450A - Accuracy reverse-deducing checking analysis method based on multi-metadata - Google Patents
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Abstract
The invention belongs to a checking analysis method, and particularly relates to an accuracy reverse-deducing checking analysis method based on multi-metadata. A method for accuracy reverse-deducing checking analysis based on multi-metadata is characterized by comprising the following steps: the method comprises the following steps: inputting data; step two: data comparison; step three: eliminating interference items; step four: and (6) performing reverse thrust. The invention has the following remarkable effects: and determining whether the graph model information and the topological structure have problems through mutual verification of current data, plan data and historical data, once the problems are found, selecting efficiency-first reverse-pushing or safety-first reverse-pushing, and reversely pushing the power grid graph model information and the topological structure. The method can reversely deduce the grid graph-model information and the topological structure only according to the existing data, and is simple, strong in executive performance and high in execution efficiency.
Description
Technical Field
The invention belongs to a checking analysis method, and particularly relates to an accuracy reverse-deducing checking analysis method based on multi-metadata.
Background
The existing power grid graph model is an important means for power grid modernization management. The grid pattern should ideally be identical to the actual equipment on which the grid is installed. However, for various reasons, the actual equipment used does not match the graphical model data created during modeling.
The reasons for this are roughly the following: (1) the existing line is often changed according to the actual situation, so that the graphs are not matched; (2) the existing line temporarily accesses or removes individual devices from reporting to the upper management authority, resulting in a mismatch of instances. (3) The power failure accident of the power distribution network caused by equipment aging causes inconsistent drawings. (4 temporary connection or disconnection of the distributed power supply and the electric equipment.
The inconsistency of the graphs can cause blind tuning and blind tuning, which not only wastes power resources, but also seriously even causes important equipment to be burned down.
Therefore, a reverse-thrust checking method based on the existing data is needed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an accuracy reverse-deducing checking analysis method based on multi-metadata.
The invention is realized by the following steps: a method for accuracy reverse-deducing checking analysis based on multi-metadata is characterized by comprising the following steps:
the method comprises the following steps: inputting data;
step two: data comparison;
step three: eliminating interference items;
step four: and (6) performing reverse thrust.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
the first step comprises the following steps of,
the data needed includes power distribution data of a power distribution plan of a power grid, real-time collected data, historical data, a PMS equipment ledger,
the data formats of the planned power distribution data, the real-time collected data and the historical data are consistent, the data formats of the planned power distribution data, the real-time collected data and the historical data comprise power, time and line numbers, and the following format record [ P, t, S ] is adopted for convenient recording]Wherein the planned distribution data is used [ PA，tA，SA]Representing, acquiring data in real time [ PB，tB，SB]Indicating, for historical data, [ P ]C，tC，SC，P’C，Q]In which P isCIs the actual value of power, P ', of the historical data'CIs the planned power value of the historical data, Q is the historical data graph model zone bit, when the historical data graph model is correct, the Q value is TRUE, otherwise, the Q value is FALSE,
the PMS equipment ledger is directly obtained from the distribution network graph-model management system,
the historical data in this step refers to the data of the historical data in which the planned power value is consistent with the planned power value at the current moment,
is expressed by formula, and satisfies | PA-P’C|≤1％PAP 'of Condition'CCorresponding historical data.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
the second step comprises the following steps of,
comparing the real-time data with the planning data to find out the difference points,
the method specifically comprises the following steps: selecting data with the same time and line number from planned power distribution data and real-time collected data, subtracting the planned power from the real-time power, if the absolute value of the difference is less than or equal to 3% of the planned power, judging that the graph model and the topological structure have no deviation, if the absolute value of the difference is greater than 3% of the planned power, judging that the graph model or the topological structure of the line has a problem, recording the group of real-time data, and for facilitating subsequent recording, recording the group of real-time data by using a serial number i,
the above is formulated as follows,
if tA＝tBAnd S isA＝SBThen, the following judgment is made,
|PA-PB|≤3％PA
if the equation is established, judging that the graph model and the topological structure have no problem, and continuing to judge the next group of data until the judgment of all the data is completed;
if the above equation is not satisfied, it is determined that the graph model and the topological structure are in problem, and the set of real-time collected data is recorded as [ P ]Bi，tBi，SBi]The set of planned power distribution data records is [ P ]Ai，tAi，SAi]Wherein i is a serial number and is a natural number.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
the third step includes the following steps,
for the data set [ P ] recorded separately in step twoBi，tBi，SBi]And [ PAi，tAi，SAi]Comparing each group of data as follows, and taking the line number and S from the historical dataBiSame history data PCi，tCi，SCi，P’Ci，Qi]，
Query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiIf the value of (1) is TURE, a judgment is made
If the inequality is established, preliminarily judging that the topological structure of the line is normal, the graph model is normal, the electric equipment of the line runs at a low power, selecting manual verification or not according to actual needs, simultaneously removing the group of data from the separately recorded data group, changing the original (i + 1) th group of data into the (i) th group of data,
query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiIs FALSE, the group data is directly retained,
and after all the i data are judged, executing the step four for the reserved data group.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
the fourth step includes the following steps,
thirdly, using unreasonable data of the second step and the third step to reversely deduce a reasonable topological structure, specifically, based on the equipment information, using the upper limit of the power which can be born by the equipment as a standard, sorting and matching with the actual information until the matching of all the equipment is completed,
and if the devices which are not matched exist finally, namely the upper limit of the devices is lower and the actual power is higher, manually confirming whether the situation that the device graph model in the power distribution network is established with errors exists.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
the fourth step includes the following steps,
screening and [ P ] in PMS equipment ledger in step oneBi，tBi，SBi]The matched equipment, namely the line number is used as an index, the corresponding equipment is searched in the PMS equipment ledger, the power value of the equipment is read, and the equipment searched in the PMS equipment ledger is marked as [ P ] for convenient recordingDi，SDi]In which S isDiIs line number, PDiIf there are several devices on the line, the power of all devices on the line is summed to obtain the equivalent power on the line,
two types of topological structure reverse deduction are carried out on the basis that the data are prepared: the efficiency is firstly reversely deduced, and the safety is firstly reversely deduced.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
efficiency-first back-stepping
Extracting real-time acquired data [ P ]Bi，tBi，SBi]Power P inBiTo power PBiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiThe sorting is performed from small to large,
from sequence PAiTaking the maximum value and then from the sequence PBiTake n values, the n PBiValue satisfies
Less than P taken outAiBut all sequences PBiIs closest to PAiThe value n is determined according to the actual situation,
calculated sequence PBiThe value of (1) can be determined according to the line number and the PMS equipment ledger, set the equipment as the same line according to the relevant information,
repeating the above steps until the sequence PBiThe sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist in the network,
when the sequence P appearsBiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
The method for the accuracy reverse-deducing checking analysis based on the multivariate data as described above, wherein,
safety priority back-push
Extracting PMS equipment standing book information PDi，SDi]Power P inDiTo power PDiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiThe sorting is performed from small to large,
from sequence PAiTaking the maximum value and then from the sequence PDiTake n values, the n PDiValue satisfies
Less than P taken outAiBut all sequences PDiIs closest to PAiThe value n is determined according to the actual situation,
calculated sequence PDiThe value of (1) can be determined according to the line number and the PMS equipment ledger, set the equipment as the same line according to the relevant information,
repeating the above steps until the sequence PDiThe sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist in the network,
when the sequence P appearsDiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
The invention has the following remarkable effects: and determining whether the graph model information and the topological structure have problems through mutual verification of current data, plan data and historical data, once the problems are found, selecting efficiency-first reverse-pushing or safety-first reverse-pushing, and reversely pushing the power grid graph model information and the topological structure. The method can reversely deduce the grid graph-model information and the topological structure only according to the existing data, and is simple, strong in executive performance and high in execution efficiency.
Detailed Description
A method for accuracy reverse-deducing checking analysis based on multi-metadata comprises the following steps:
the method comprises the following steps: data entry
The data needed includes power distribution data of a power distribution plan of a power grid, real-time collected data, historical data, a PMS equipment ledger,
the data formats of the planned power distribution data, the real-time collected data and the historical data comprise power, time and line number, and the following format is adopted for recording [ P, t, S ] for convenient recording]Wherein the planned distribution data is used [ PA，tA，SA]Representing, acquiring data in real time [ PB，tB，SB]Indicating, for historical data, [ P ]C，tC，SC，P’C，Q]In which P isCIs the actual value of power, P ', of the historical data'CAnd Q is a historical data graph mode flag bit, when the historical data graph mode is correct, the Q is TRUE, otherwise, the Q is FALSE.
The line number refers to a certain path from the node A to the node B, and a plurality of devices are arranged on the path.
The PMS equipment ledger is directly obtained from the distribution network graph-model management system.
The historical data in this step refers to data in which the planned power value is consistent with the planned power value at the current time in the historical data.
Is expressed by formula, and satisfies | PA-P’C|≤1％PAP 'of Condition'CCorresponding historical data.
Step two: data comparison
And comparing the real-time data with the planning data to find out a difference point.
The method specifically comprises the following steps: selecting data with the same time and line number from planned power distribution data and real-time collected data, subtracting planned power from real-time power, if the absolute value of the difference is less than or equal to 3% of the planned power, judging that the graph model and the topological structure have no deviation, if the absolute value of the difference is greater than 3% of the planned power, judging that the graph model or the topological structure of the line has a problem, recording the group of real-time data, and recording a serial number i for facilitating subsequent recording.
The above is formulated as follows,
if tA＝tBAnd S isA＝SBThen, the following judgment is made,
|PA-PB|≤3％PA
if the equation is established, judging that the graph model and the topological structure have no problem, and continuing to judge the next group of data until the judgment of all the data is completed;
if the above equation is not satisfied, it is determined that the graph model and the topological structure are in problem, and the set of real-time collected data is recorded as [ P ]Bi，tBi，SBi]The set of planned power distribution data records is [ P ]Ai，tAi，SAi]Wherein i is a serial number and is a natural number.
Step three: eliminating interference terms
For the data set [ P ] recorded separately in step twoBi，tBi，SBi]And [ PAi，tAi，SAi]Comparing each group of data as follows, and taking the line number and S from the historical dataBiSame history data PCi，tCi，SCi，P’Ci，Qi]，
Query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiIf the value of (1) is TURE, a judgment is made
If the inequality is established, preliminarily judging that the topological structure of the line is normal, the graph model is normal and the power consumption of the line is normalThe equipment runs at a low power, manual verification or non-verification can be selected according to actual needs, the group of data is removed from the separately recorded data group, and the original (i + 1) th group of data is changed into the (i) th group of data.
Query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiThe value of (d) is FALSE, and the group data is directly retained.
And after all the i data are judged, executing the step four for the reserved data group.
Step four: reverse thrust
And 4, utilizing unreasonable data in the second step and the third step to reversely deduce a reasonable topological structure, specifically, based on the equipment information, sequencing and matching with actual information by taking the upper limit of the power which can be borne by the equipment as a standard until the matching of all the equipment is completed.
And if the devices which are not matched exist finally, namely the upper limit of the devices is lower and the actual power is higher, manually confirming whether the situation that the device graph model in the power distribution network is established with errors exists.
The method specifically comprises the following steps:
screening and [ P ] in PMS equipment ledger in step oneBi，tBi，SBi]The matched equipment searches corresponding equipment in the PMS equipment ledger, reads the power value of the equipment, and records the equipment searched in the PMS equipment ledger as [ P ] for convenient recordingDi，SDi]In which S isDiIs line number, PDiIf there are several devices on the line, the power of all the devices on the line is summed to obtain the equivalent power on the line.
Two types of topological structure reverse deduction are carried out on the basis that the data are prepared: efficiency-priority reverse thrust and safety-priority reverse thrust
(1) Efficiency-first back-stepping
Extracting real-time acquired data [ P ]Bi，tBi，SBi]Power P inBiTo power PBiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiSorting from small to large is performed.
From sequence PAiTaking the maximum value and then from the sequence PBiTake n values, the n PBiValue satisfies
Less than P taken outAiBut all sequences PBiIs closest to PAiIs measured. The value n is determined according to actual conditions.
E.g. from the sequence PAiTaking the maximum value to be 70kw from the sequence PBi20kw, 30kw, 35kw, 55kw, etc., with 30kw +35kw 65kw, less than 70kw, and closest to 70kw, are drawn, so that for this formula n 2 is in the sequence PBiThe power corresponding to the intermediate extraction parameter is 30kw and 35 kw.
Calculated sequence PBiThe value of (1) can be determined according to the line number and the PMS equipment ledger, and the equipment can be set as the same line according to the relevant information.
Repeating the above steps until the sequence PBiUntil there is no parameter. The sum of the formed new lines is the new topological structure of the power distribution network.
When the sequence P appearsBiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
(2) Safety priority back-push
Extracting PMS equipment standing book information PDi，SDi]Power P inDiTo power PDiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiSorting from small to large is performed.
From sequence PAiTaking the maximum value and then from the sequence PDiTake n values, the n PDiValue satisfies
Less than P taken outAiBut all sequences PDiIs closest to PAiIs measured. The value n is determined according to actual conditions.
E.g. from the sequence PAiTaking the maximum value to be 70kw from the sequence PDi20kw, 30kw, 35kw, 55kw, etc., with 30kw +35kw 65kw, less than 70kw, and closest to 70kw, are drawn, so that for this formula n 2 is in the sequence PDiThe power corresponding to the intermediate extraction parameter is 30kw and 35 kw.
Calculated sequence PDiThe value of (1) can be determined according to the line number and the PMS equipment ledger, and the equipment can be set as the same line according to the relevant information.
Repeating the above steps until the sequence PDiUntil there is no parameter. The sum of the formed new lines is the new topological structure of the power distribution network.
When the sequence P appearsDiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
Claims (8)
1. A method for accuracy reverse-deducing checking analysis based on multi-metadata is characterized by comprising the following steps:
the method comprises the following steps: inputting data;
step two: data comparison;
step three: eliminating interference items;
step four: and (6) performing reverse thrust.
2. The method of claim 1, wherein the method comprises the following steps: the first step comprises the following steps of,
the data needed includes power distribution data of a power distribution plan of a power grid, real-time collected data, historical data, a PMS equipment ledger,
the data formats of the planned power distribution data, the real-time collected data and the historical data comprise power, time and line numbers,recording [ P, t, S ] in the following format for easy recording]Wherein the planned distribution data is used [ PA，tA，SA]Representing, acquiring data in real time [ PB，tB，SB]Indicating, for historical data, [ P ]C，tC，SC，P’C，Q]In which P isCIs the actual value of power, P ', of the historical data'CIs the planned power value of the historical data, Q is the historical data graph model zone bit, when the historical data graph model is correct, the Q value is TRUE, otherwise, the Q value is FALSE,
the line number refers to a certain path from the node A to the node B, and a plurality of devices are arranged on the path;
the PMS equipment ledger is directly obtained from the distribution network graph-model management system,
the historical data in this step refers to the data of the historical data in which the planned power value is consistent with the planned power value at the current moment,
is expressed by formula, and satisfies | PA-P’C|≤1％PAP 'of Condition'CCorresponding historical data.
3. The method of claim 2, wherein the method comprises the following steps: the second step comprises the following steps of,
comparing the real-time data with the planning data to find out the difference points,
the method specifically comprises the following steps: selecting data with the same time and line number from planned power distribution data and real-time collected data, subtracting the planned power from the real-time power, if the absolute value of the difference is less than or equal to 3% of the planned power, judging that the graph model and the topological structure have no deviation, if the absolute value of the difference is greater than 3% of the planned power, judging that the graph model or the topological structure of the line has a problem, recording the group of real-time data, and for facilitating subsequent recording, recording the group of real-time data by using a serial number i,
the above is formulated as follows,
if tA＝tBAnd S isA＝SBThen, the following judgment is made，
|PA-PB|≤3％PA
If the equation is established, judging that the graph model and the topological structure have no problem, and continuing to judge the next group of data until the judgment of all the data is completed;
if the above equation is not satisfied, it is determined that the graph model and the topological structure are in problem, and the set of real-time collected data is recorded as [ P ]Bi，tBi，SBi]The set of planned power distribution data records is [ P ]Ai，tAi，SAi]Wherein i is a serial number and is a natural number.
4. The method of claim 3, wherein the method comprises the following steps: the third step includes the following steps,
for the data set [ P ] recorded separately in step twoBi，tBi，SBi]And [ PAi，tAi，SAi]Comparing each group of data as follows, and taking the line number and S from the historical dataBiSame history data PCi，tCi，SCi，P’Ci，Qi]，
Query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiIf the value of (1) is TURE, a judgment is made
If the inequality is established, preliminarily judging that the topological structure of the line is normal, the graph model is normal, the electric equipment of the line runs at a low power, selecting manual verification or not according to actual needs, simultaneously removing the group of data from the separately recorded data group, changing the original (i + 1) th group of data into the (i) th group of data,
query [ P ]Ci，tCi，SCi，P’Ci，Qi]Whether to mark a pattern error, e.g. QiIs FALSE, and the group of data is directThe maintenance is carried out on the basis of the original data,
and after all the i data are judged, executing the step four for the reserved data group.
5. The method of claim 4, wherein the method comprises the following steps: the fourth step includes the following steps,
thirdly, using unreasonable data of the second step and the third step to reversely deduce a reasonable topological structure, specifically, based on the equipment information, using the upper limit of the power which can be born by the equipment as a standard, sorting and matching with the actual information until the matching of all the equipment is completed,
and if the devices which are not matched exist finally, namely the upper limit of the devices is lower and the actual power is higher, manually confirming whether the situation that the device graph model in the power distribution network is established with errors exists.
6. The method of claim 5, wherein the method comprises the following steps: the fourth step includes the following steps,
screening and [ P ] in PMS equipment ledger in step oneBi，tBi，SBi]The matched equipment, namely the line number is used as an index, the corresponding equipment is searched in the PMS equipment ledger, the power value of the equipment is read, and the equipment searched in the PMS equipment ledger is marked as [ P ] for convenient recordingDi，SDi]In which S isDiIs line number, PDiIf there are several devices on the line, the power of all devices on the line is summed to obtain the equivalent power on the line,
two types of topological structure reverse deduction are carried out on the basis that the data are prepared: the efficiency is firstly reversely deduced, and the safety is firstly reversely deduced.
7. The method of claim 6, wherein the method comprises the following steps:
efficiency-first back-stepping
Extraction real-time acquisitionData [ P ]Bi，tBi，SBi]Power P inBiTo power PBiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiThe sorting is performed from small to large,
from sequence PAiTaking the maximum value and then from the sequence PBiTake n values, the n PBiValue satisfies
Less than P taken outAiBut all sequences PBiIs closest to PAiThe value n is determined according to the actual situation,
calculated sequence PBiThe value of (1) can be determined according to the line number and the PMS equipment ledger, set the equipment as the same line according to the relevant information,
repeating the above steps until the sequence PBiThe sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist in the network,
when the sequence P appearsBiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
8. The method of claim 7, wherein the method comprises:
safety priority back-push
Extracting PMS equipment standing book information PDi，SDi]Power P inDiTo power PDiSorting from small to large, and extracting planned power distribution data [ PAi，tAi，SAi]Power P inAiTo power PAiThe sorting is performed from small to large,
from sequence PAiTaking the maximum value and then from the sequence PDiTake n values, the n PDiValue satisfies
Less than P taken outAiBut all sequences PDiIs closest to PAiThe value n is determined according to the actual situation,
calculated sequence PDiThe value of (1) can be determined according to the line number and the PMS equipment ledger, set the equipment as the same line according to the relevant information,
repeating the above steps until the sequence PDiThe sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist in the network,
when the sequence P appearsDiWhen data which cannot be taken out all the time exists, an alarm is sent out to inform relevant workers of checking the graph model information and the topological structure information.
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