CN113420450B - Accuracy back-pushing check analysis method based on multiple metadata - Google Patents

Accuracy back-pushing check analysis method based on multiple metadata Download PDF

Info

Publication number
CN113420450B
CN113420450B CN202110721172.8A CN202110721172A CN113420450B CN 113420450 B CN113420450 B CN 113420450B CN 202110721172 A CN202110721172 A CN 202110721172A CN 113420450 B CN113420450 B CN 113420450B
Authority
CN
China
Prior art keywords
data
power
equipment
value
topological structure
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110721172.8A
Other languages
Chinese (zh)
Other versions
CN113420450A (en
Inventor
王璨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202110721172.8A priority Critical patent/CN113420450B/en
Publication of CN113420450A publication Critical patent/CN113420450A/en
Application granted granted Critical
Publication of CN113420450B publication Critical patent/CN113420450B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to a checking analysis method, and particularly relates to an accuracy back-pushing checking analysis method based on multi-metadata. The accuracy back-pushing check analysis method based on the multi-metadata is characterized by comprising the following steps of: step one: data input; step two: data comparison; step three: eliminating interference items; step four: and (5) back pushing. The invention has the remarkable effects that: and determining whether the graph mode information and the topological structure have problems or not through mutual verification of the current data, the planning data and the historical data, and if the problems are found, selecting efficiency to reversely push or safety to reversely push the graph mode information and the topological structure of the power grid. The method can reversely push the power grid pattern information and the topological structure only according to the existing data, and is simple, strong in execution performance and high in execution efficiency.

Description

Accuracy back-pushing check analysis method based on multiple metadata
Technical Field
The invention belongs to a checking analysis method, and particularly relates to an accuracy back-pushing checking analysis method based on multi-metadata.
Background
The existing power grid pattern is an important means for power grid modernization management. The grid pattern should ideally be exactly identical to the equipment actually erected by the grid. However, for a variety of reasons, the actual equipment used does not match the pattern data created during modeling.
The reasons for this are generally the following: (1) The existing circuit is often changed according to actual conditions, so that the graph is not matched with the real graph; (2) The existing line temporarily accesses or removes individual devices to make it less than reporting to the upper management authorities, resulting in a map real mismatch. (3) Power distribution network power failure accidents caused by equipment aging cause inconsistent graphs. (4 temporary access or exit of distributed power and electric equipment.
Inconsistent graphics can cause blind tone and blind tone, not only waste power resources, but also seriously burn important equipment.
Therefore, a back-stepping 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 back-pushing checking analysis method based on the multi-metadata.
The invention is realized in the following way: the accuracy back-pushing check analysis method based on the multi-metadata is characterized by comprising the following steps of:
step one: data input;
step two: data comparison;
step three: eliminating interference items;
step four: and (5) back pushing.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
the first step includes the following,
the data required by the data comprises power distribution plan distribution data of a power grid, real-time acquisition data, historical data and a PMS equipment account,
the data formats of the planned distribution data, the real-time collected data and the historical data are consistent, and the planned distribution data, the real-time collected data and the historical data all comprise power, time and line numbers, and are recorded in the following formats [ P, t and S ] for convenient recording]Wherein power distribution data is planned [ P ] A ,t A ,S A ]Representation, for real-time acquisition of data [ P ] B ,t B ,S B ]Representation of history data with [ P ] C ,t C ,S C ,P’ C ,Q]Wherein P is C Is the actual power value, P 'of the historical data' C Is the planned power value of the historical data, Q is the historical data pattern flag bit, the Q value is TRUE when the historical data pattern is correct, otherwise, the Q value is FALSE,
the PMS device ledger is directly obtained from the distribution network pattern management system,
the historical data in this step refers to the data in which the planned power value in the historical data is consistent with the planned power value at the current time,
expressed by a formula, satisfy |P A -P’ C |≤1%P A P 'of the conditions' C Corresponding history data.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
the second step comprises the following steps,
the real-time data is compared with the planning data to find out the distinguishing points,
the method comprises the following steps: selecting data with the same time and line number from the planned distribution data and the real-time acquisition data, subtracting the planned power from the real-time power, judging that the graph model and the topological structure have no deviation if the absolute value of the difference value is less than or equal to 3% of the planned power, judging that the graph model or the topological structure of the line has problems if the absolute value of the difference value is greater than 3% of the planned power, recording the group of real-time data, and for convenience of subsequent recording, the current recording is represented by a serial number i,
the above is formulated as follows,
if t A =t B And S is A =S B Then the following determination is made,
|P A -P B |≤3%P A
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 all the data are judged;
if the above equation is not satisfied, determining that the graph model and the topology are problematic, and recording the set of real-time acquisition data as [ P ] Bi ,t Bi ,S Bi ]The set of planned distribution data is recorded as [ P ] Ai ,t Ai ,S Ai ]Where i is a sequence number and is a natural number.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
the third step includes the following,
for the data group [ P ] recorded separately in step two Bi ,t Bi ,S Bi ]And [ P ] Ai ,t Ai ,S Ai ]Each group of data is compared as follows, and the line number and S are taken from the historical data Bi Identical history data [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ],
Query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i If the value of (1) is TURE, then execute the judgmentIf the inequality is satisfied, the circuit topology structure is primarily judged to be normal, the graph model is normal, the electric equipment of the circuit is not operated at full power, manual verification or non-verification can be selected according to actual needs, meanwhile, the group of data is removed from the independently recorded data group, at the moment, the original (i+1) th group of data is changed into the (i) th group of data,
query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i The value of (2) is FALSE, the set of data is directly reserved,
and after all i data are judged, executing the fourth step for the reserved data set.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
the fourth step includes the following,
the unreasonable data of the second step and the third step are utilized to reversely push the reasonable topological structure, specifically, the reasonable topological structure is based on the equipment information, the upper limit of the power which can be born by the equipment is used as the standard, the reasonable topological structure is ordered and matched with the actual information until the matching of all the equipment is completed,
and if the unmatched equipment exists finally, namely the upper limit of the equipment is lower and the actual power is larger, manually confirming whether the situation that the equipment pattern in the power distribution network is established in error exists.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
the fourth step includes the following,
screening and [ P ] in PMS Equipment ledger in step one Bi ,t Bi ,S Bi ]The matched equipment, namely, the line number is used as an index, 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 recorded as [ P ] for convenient recording Di ,S Di ]Wherein S is Di Is the line number, P Di For the power of the devices on the line,if 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,
and (3) performing two types of topological structure reverse-pushing on the basis that the data are prepared: efficiency first thrust reversals and safety first thrust reversals.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
efficiency first back-push
Extracting real-time acquisition data [ P ] Bi ,t Bi ,S Bi ]Power P in (a) Bi For power P Bi Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai For power P Ai The sorting is performed from small to large,
from sequence P Ai Maximum value is taken from the sequence P Bi Takes n values, n P Bi The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Bi Is closest to P Ai Is determined according to the actual situation,
calculated sequence P Bi The equipment can be determined according to the line number and the PMS equipment ledger, the equipment can be set to be the same line according to the related information,
repeating the above steps until the sequence P Bi The sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist,
when the sequence P appears Bi When the data which can not be taken out all the time exists, an alarm is sent out, and related staff is informed to check the graphic model information and the topological structure information.
The accuracy back-pushing check analysis method based on the multi-element data comprises the following steps of,
safety priority back-pushing
Extracting PMS equipment account information [ P ] Di ,S Di ]Power P in (a) Di For power P Di Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai For power P Ai The sorting is performed from small to large,
from sequence P Ai Maximum value is taken from the sequence P Di Takes n values, n P Di The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Di Is closest to P Ai Is determined according to the actual situation,
calculated sequence P Di The equipment can be determined according to the line number and the PMS equipment ledger, the equipment can be set to be the same line according to the related information,
repeating the above steps until the sequence P Di The sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist,
when the sequence P appears Di When the data which can not be taken out all the time exists, an alarm is sent out, and related staff is informed to check the graphic model information and the topological structure information.
The invention has the remarkable effects that: and determining whether the graph mode information and the topological structure have problems or not through mutual verification of the current data, the planning data and the historical data, and if the problems are found, selecting efficiency to reversely push or safety to reversely push the graph mode information and the topological structure of the power grid. The method can reversely push the power grid pattern information and the topological structure only according to the existing data, and is simple, strong in execution performance and high in execution efficiency.
Detailed Description
An accuracy back-pushing check analysis method based on multiple metadata comprises the following steps:
step one: data input
The data required by the data comprises power distribution plan distribution data of a power grid, real-time acquisition data, historical data and a PMS equipment account,
the data formats of the planned distribution data, the real-time acquisition data and the historical data comprise power, time and line numbers, and the following formats are adopted for recording for convenience]Wherein power distribution data is planned [ P ] A ,t A ,S A ]Representation, for real-time acquisition of data [ P ] B ,t B ,S B ]Representation of history data with [ P ] C ,t C ,S C ,P’ C ,Q]Wherein P is C Is the actual power value, P 'of the historical data' C The power value is the planned power value of the historical data, Q is the historical data pattern flag bit, when the historical data pattern is correct, the Q value is TRUE, otherwise, the Q value is FALSE.
The line number refers to a certain path from the first node to the second node, and a plurality of devices are arranged on the path.
The PMS equipment ledger is directly obtained from the distribution network pattern management system.
The historical data in the step refers to the data of which the planned power value in the historical data is consistent with the planned power value at the current moment.
Expressed by a formula, satisfy |P A -P’ C |≤1%P A P 'of the conditions' C Corresponding history data.
Step two: data comparison
And comparing the real-time data with the planning data to find out the distinguishing points.
The method comprises the following steps: and selecting data with the same time and line number from the planned distribution data and the real-time acquisition data, subtracting the planned power from the real-time power, judging that the graph mode and the topological structure have no deviation if the absolute value of the difference value is less than or equal to 3% of the planned power, judging that the graph mode or the topological structure of the line has a problem if the absolute value of the difference value is greater than 3% of the planned power, and recording the group of real-time data, wherein the record is represented by a serial number i for facilitating the subsequent recording.
The above is formulated as follows,
if t A =t B And S is A =S B Then the following determination is made,
|P A -P B |≤3%P A
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 all the data are judged;
if the above equation is not satisfied, determining that the graph model and the topology are problematic, and recording the set of real-time acquisition data as [ P ] Bi ,t Bi ,S Bi ]The set of planned distribution data is recorded as [ P ] Ai ,t Ai ,S Ai ]Where i is a sequence number and is a natural number.
Step three: eliminating interference items
For the data group [ P ] recorded separately in step two Bi ,t Bi ,S Bi ]And [ P ] Ai ,t Ai ,S Ai ]Each group of data is compared as follows, and the line number and S are taken from the historical data Bi Identical history data [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ],
Query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i If the value of (1) is TURE, then execute the judgmentIf the inequality is met, the circuit topology structure is initially judged to be normal, the graph model is normal, electric equipment of the circuit is not operated at full power, manual verification or non-verification can be selected according to actual needs, meanwhile, the group of data is removed from the independently recorded data group, and at the moment, the original (i+1) th group of data is changed into the (i) th group of data.
Query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i The set of data is reserved directly with the value FALSE.
And after all i data are judged, executing the fourth step for the reserved data set.
Step four: thrust reverser
And (3) reversely pushing the reasonable topological structure by utilizing the unreasonable data in the second step and the third step, specifically, based on the equipment information, sequencing by taking the upper limit of the power which can be born by the equipment as a standard, and matching with the actual information until the matching of all the equipment is completed.
And if the unmatched equipment exists finally, namely the upper limit of the equipment is lower and the actual power is larger, manually confirming whether the situation that the equipment pattern in the power distribution network is established in error exists.
The method comprises the following steps:
screening and [ P ] in PMS Equipment ledger in step one Bi ,t Bi ,S Bi ]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 recording Di ,S Di ]Wherein S is Di Is the line number, P Di If 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.
And (3) performing two types of topological structure reverse-pushing on the basis that the data are prepared: efficiency-first thrust reverser and safety-first thrust reverser
(1) Efficiency first back-push
Extracting real-time acquisition data [ P ] Bi ,t Bi ,S Bi ]Power P in (a) Bi For power P Bi Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai For power P Ai The sorting is performed from small to large.
From sequence P Ai Maximum value is taken from the sequence P Bi Takes n values, n P Bi The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Bi Is closest to P Ai Is a maximum value of (a). The value n is determined according to the actual situation.
For example from sequence P Ai The maximum value is 70kw, from the sequence P Bi Values of 20kw,30kw,35kw,55kw, etc. were taken, where 30kw+35 kw=65 kw, less than 70kw, and closest to 70kw, so that for this equation n=2, in the sequence P Bi The power corresponding to the extraction parameters is 30kw and 35kw.
Calculated sequence P Bi The equipment can be determined according to the line number and the PMS equipment ledger, and the equipment can be set to be the same line according to the related information.
Repeating the above steps until the sequence P Bi No parameters in the table. The sum of the formed new lines is the new topological structure of the power distribution network.
When the sequence P appears Bi When the data which can not be taken out all the time exists, an alarm is sent out, and related staff is informed to check the graphic model information and the topological structure information.
(2) Safety priority back-pushing
Extracting PMS equipment account information [ P ] Di ,S Di ]Power P in (a) Di For power P Di Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai For power P Ai The sorting is performed from small to large.
From sequence P Ai Maximum value is taken from the sequence P Di Takes n values, n P Di The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Di Is closest to P Ai Is a maximum value of (a). The value n is determined according to the actual situation.
For example from sequence P Ai The maximum value is 70kw, from the sequence P Di Values of 20kw,30kw,35kw,55kw, etc. were taken, where 30kw+35 kw=65 kw, less than 70kw, and closest to 70kw, so that for this equation n=2, in the sequence P Di The power corresponding to the extraction parameters is 30kw and 35kw.
Calculated and obtainedSequence P Di The equipment can be determined according to the line number and the PMS equipment ledger, and the equipment can be set to be the same line according to the related information.
Repeating the above steps until the sequence P Di No parameters in the table. The sum of the formed new lines is the new topological structure of the power distribution network.
When the sequence P appears Di When the data which can not be taken out all the time exists, an alarm is sent out, and related staff is informed to check the graphic model information and the topological structure information.

Claims (1)

1. The accuracy back-pushing check analysis method based on the multi-metadata is characterized by comprising the following steps of:
step one: data input;
step two: data comparison;
step three: eliminating interference items;
step four: performing back thrust;
the first step includes the following,
the required data comprises power grid distribution plan distribution data, real-time acquisition data, historical data, PMS equipment accounts,
the data formats of the planned distribution data, the real-time acquisition data and the historical data comprise power, time and line numbers, and the following formats are adopted for recording for convenience]Wherein power distribution data is planned [ P ] A ,t A ,S A ]Representation, for real-time acquisition of data [ P ] B ,t B ,S B ]Representation of history data with [ P ] C ,t C ,S C ,P’ C ,Q]Wherein P is C Is the actual power value, P 'of the historical data' C Is the planned power value of the historical data, Q is the historical data pattern flag bit, the Q value is TRUE when the historical data pattern is correct, otherwise, the Q value is FALSE,
the line number refers to a certain path from the first node to the second node, and a plurality of devices are arranged on the path;
the PMS device ledger is directly obtained from the distribution network pattern management system,
the historical data in this step refers to the data in which the planned power value in the historical data is consistent with the planned power value at the current time,
expressed by a formula, satisfy |P A -P’ C |≤1%P A P 'of the conditions' C Corresponding historical data;
the second step comprises the following steps,
the real-time data is compared with the planning data to find out the distinguishing points,
the method comprises the following steps: selecting data with the same time and line number from the planned distribution data and the real-time acquisition data, subtracting the planned power from the real-time power, judging that the graph model and the topological structure have no deviation if the absolute value of the difference value is less than or equal to 3% of the planned power, judging that the graph model or the topological structure of the line has problems if the absolute value of the difference value is greater than 3% of the planned power, recording the real-time data, and for convenience of subsequent recording, the current recording is represented by a serial number i,
the above is formulated as follows,
if t A =t B And S is A =S B Then the following determination is made,
|P A -P B |≤3%P A
if the inequality is established, judging that the graph model and the topological structure have no problem, and continuing to judge the next group of data until all the data are judged;
if the inequality is not satisfied, judging that the graph model and the topological structure are problematic, and recording the real-time acquisition data as [ P ] Bi ,t Bi ,S Bi ]The planned distribution data is recorded as [ P ] Ai ,t Ai ,S Ai ]Wherein i is a serial number and is a natural number;
the third step includes the following,
for the data group [ P ] recorded separately in step two Bi ,t Bi ,S Bi ]And [ P ] Ai ,t Ai ,S Ai ]Each group of data is compared as follows, and the line number and S are taken from the historical data Bi Identical toHistory data [ P ] of (1) Ci ,t Ci ,S Ci ,P’ Ci ,Q i ],
Query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i If the value of (1) is TURE, then execute the judgmentIf the inequality is satisfied, the circuit topology structure is primarily judged to be normal, the graph model is normal, the electric equipment of the circuit is not operated at full power, manual verification or non-verification can be selected according to actual needs, meanwhile, the group of data is removed from the independently recorded data group, at the moment, the original (i+1) th group of data is changed into the (i) th group of data,
query [ P Ci ,t Ci ,S Ci ,P’ Ci ,Q i ]Whether or not to mark pattern errors, e.g. Q i The value of (2) is FALSE, the set of data is directly reserved,
after all i data are judged, executing a step four for the reserved data set;
the fourth step includes the following,
the unreasonable data of the second step and the third step are utilized to reversely push the reasonable topological structure, specifically, the reasonable topological structure is based on the equipment information, the upper limit of the power which can be born by the equipment is used as the standard, the reasonable topological structure is ordered and matched with the actual information until the matching of all the equipment is completed,
if there is no matched equipment at last, namely the upper limit of the equipment is low and the actual power is high, manually confirming whether the situation that the equipment pattern in the power distribution network is established with errors exists or not;
the fourth step includes the following,
screening and [ P ] in PMS Equipment ledger in step one Bi ,t Bi ,S Bi ]The matched equipment, namely, the line number is used as an index, 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 recorded as [ P ] for convenient recording Di ,S Di ]Wherein S is Di Is the line number, P Di For the power of the device on the line, if 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,
and (3) performing two types of topological structure reverse-pushing on the basis that the data are prepared: efficiency priority back-pushing and safety priority back-pushing;
efficiency first back-push
Extracting real-time acquisition data [ P ] Bi ,t Bi ,S Bi ]Power P in (a) Bi For power P Bi Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai For power P Ai The sorting is performed from small to large,
from sequence P Ai Maximum value is taken from the sequence P Bi Takes n values, n P Bi The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Bi Is closest to P Ai Is determined according to the actual situation,
calculated sequence P Bi The equipment can be determined according to the line number and the PMS equipment ledger, the equipment can be set to be the same line according to the related information,
repeating the above steps until the sequence P Bi The sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist,
when the sequence P appears Bi When data which cannot be taken out all the time exist in the data, an alarm is sent out, and related staff is informed of checking pattern information and topology structure information;
safety priority back-pushing
Extracting PMS equipment account information [ P ] Di ,S Di ]Power P in (a) Di For power P Di Sequencing from small to large, and extracting planned distribution data [ P ] Ai ,t Ai ,S Ai ]Power P in (a) Ai To powerP Ai The sorting is performed from small to large,
from sequence P Ai Maximum value is taken from the sequence P Di Takes n values, n P Di The value satisfiesLess than the extracted P Ai Maximum value of but all sequences P Di Is closest to P Ai Is determined according to the actual situation,
calculated sequence P Di The equipment can be determined according to the line number and the PMS equipment ledger, the equipment can be set to be the same line according to the related information,
repeating the above steps until the sequence P Di The sum of the formed new lines is the new topological structure of the power distribution network until no parameters exist,
when the sequence P appears Di When the data which can not be taken out all the time exists, an alarm is sent out, and related staff is informed to check the graphic model information and the topological structure information.
CN202110721172.8A 2021-06-28 2021-06-28 Accuracy back-pushing check analysis method based on multiple metadata Active CN113420450B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110721172.8A CN113420450B (en) 2021-06-28 2021-06-28 Accuracy back-pushing check analysis method based on multiple metadata

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110721172.8A CN113420450B (en) 2021-06-28 2021-06-28 Accuracy back-pushing check analysis method based on multiple metadata

Publications (2)

Publication Number Publication Date
CN113420450A CN113420450A (en) 2021-09-21
CN113420450B true CN113420450B (en) 2024-04-02

Family

ID=77716944

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110721172.8A Active CN113420450B (en) 2021-06-28 2021-06-28 Accuracy back-pushing check analysis method based on multiple metadata

Country Status (1)

Country Link
CN (1) CN113420450B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106786517A (en) * 2016-12-02 2017-05-31 中国科学院深圳先进技术研究院 Based on the maximized network optimization system of load and network optimization method
CN110266037A (en) * 2019-05-24 2019-09-20 国网安徽省电力有限公司 Distributed new based on topological auto-polymerization observes modeling method and system entirely
CN112765258A (en) * 2021-01-08 2021-05-07 国网安徽省电力有限公司芜湖供电公司 Power distribution network graph model checking management system and method thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106786517A (en) * 2016-12-02 2017-05-31 中国科学院深圳先进技术研究院 Based on the maximized network optimization system of load and network optimization method
CN110266037A (en) * 2019-05-24 2019-09-20 国网安徽省电力有限公司 Distributed new based on topological auto-polymerization observes modeling method and system entirely
CN112765258A (en) * 2021-01-08 2021-05-07 国网安徽省电力有限公司芜湖供电公司 Power distribution network graph model checking management system and method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A Consistent Power Management System Design for Solar and Wind Energy-Based Residential Applications;Esen, M等;《2019 IEEE 1ST GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (GPECOM2019)》;358-363 *
数据挖掘技术及其在电网调度自动化系统的应用研究;刘春水;《中国优秀硕士学位论文全文数据库》(第3期);1-88 *

Also Published As

Publication number Publication date
CN113420450A (en) 2021-09-21

Similar Documents

Publication Publication Date Title
CN110441629B (en) Fault diagnosis method and device based on turnout switch machine operating current curve
CN113189418B (en) Topological relation identification method based on voltage data
CN105894177A (en) Decision-making-tree-algorithm-based analysis and evaluation method for operation risk of power equipment
CN111260413A (en) Vector graph-based rapid calculation method for construction cost of power main network engineering
CN116298675B (en) Intelligent algorithm-based power distribution network line loss anomaly detection method and system
CN104050605B (en) Power equipment matching process and system
CN110166483B (en) Power grid fault and network attack identification method, device and equipment
CN112510817A (en) Intelligent identification method for low-voltage topological relation of transformer area
CN113420450B (en) Accuracy back-pushing check analysis method based on multiple metadata
CN110941910A (en) Intelligent auxiliary method and system for power grid three-dimensional design review
CN110633268A (en) Configuration system and configuration method for relay protection level difference of automatic switch of distribution line
CN111541301B (en) Power distribution network line variation relation checking method based on fluctuation rate
CN113825162B (en) Method and device for positioning fault reasons of telecommunication network
CN117389967B (en) Multi-dimensional fault information extraction processing and diagnosis method and system for power transformation equipment
CN112965990A (en) Low-voltage contact cabinet fault solution generation method and device
CN117931955A (en) Knowledge graph-based power data processing method and system
CN116578823A (en) Low-voltage area identification method based on cross-correlation algorithm
CN115130550A (en) Distribution transformer fault identification method based on gradient lifting decision tree
CN115357601B (en) Method and system for acquiring real-time data of power transformation work
CN113722145A (en) Method and device for rapidly identifying homologous anomaly in vacuum semantic environment
CN111143622A (en) Fault data set construction method based on big data platform
CN117007912B (en) Distribution network line power failure analysis method, device, equipment and storage medium
CN112464416B (en) Method and system for generating all-station fixed value of one-key transformer substation
CN113515933A (en) Power primary and secondary equipment fusion processing method, system, equipment and storage medium
CN118070092A (en) Electric equipment fault discrimination method, system, equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant