CN111478439A - Remote control success rate analysis method for regional distribution network automatic switch - Google Patents
Remote control success rate analysis method for regional distribution network automatic switch Download PDFInfo
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- CN111478439A CN111478439A CN202010298733.3A CN202010298733A CN111478439A CN 111478439 A CN111478439 A CN 111478439A CN 202010298733 A CN202010298733 A CN 202010298733A CN 111478439 A CN111478439 A CN 111478439A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The invention provides a method for analyzing remote control success rate of an automatic switch of a regional distribution network, which collects and extracts key remote control switch data from each large service system, automatically generates an effective remote control switch success and failure record according to a scientific algorithm by an intelligent analysis method, and automatically generates an analysis report of the remote control success rate of the automatic switch according to the remote control switch record generated by recording and division regions, thereby fundamentally solving the problem of purely manual statistics of the remote control success rate of the automatic switch, providing effective evaluation and improvement means for the running equipment condition of the automatic switch and the promotion of an intelligent power grid, and promoting the construction and development of the intelligent power grid.
Description
Technical Field
The invention relates to the field of distribution network automatic switches, in particular to a method for analyzing the remote control success rate of a regional distribution network automatic switch.
Background
In order to promote the construction of a smart power grid and the safe and stable development of the power grid, power companies in various provinces and regions continuously promote the intelligent construction of distribution network equipment, a distribution network automatic switch is taken as an indispensable important ring of the smart power grid, the distribution network automatic switch is generally stepped from two remote places (remote signaling and remote sensing) to three remote places (remote signaling, remote sensing and remote control), the remote control of the distribution network automatic switch is the key for stepping from two remote places to three remote places, and the remote control success rate of the distribution network automatic switch is directly related to the deployment of the equipment and plays a key evaluation role in the pushing conditions of the regional automatic switch and the smart power grid.
Based on the analysis, the remote control success rate of the regional distribution network automatic switch generally stays at the stages of manual analysis, manual filtration and manual statistics at present, and a scientific, effective and accurate method is lacked, so that the remote control success rate of the regional distribution network automatic switch can be only analyzed, and therefore, the method is a technical requirement which needs to be solved urgently at present.
Disclosure of Invention
The invention provides a method for analyzing the remote control success rate of an automatic switch of a regional distribution network, which realizes the automatic statistical analysis of the remote control success rate of the automatic switch of the distribution network.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
an intelligent analysis method for remote control success rate of an automatic switch of a regional distribution network comprises the following steps:
s1 basic data acquisition: and acquiring related basic data information by establishing a data interface with each large service system. If a data interface is established with a power grid production management information system, station, line, automatic switch and common switch information of a power grid basic ledger is obtained; the method comprises the steps that a data interface is established with a distribution network automation system, and data such as remote switch equipment information, IP addresses, IP group numbers, switch online conditions and the like of a distribution network line automation switch are obtained; acquiring operation record information, mass alarms, action information, automation equipment information and the like of a dispatcher by establishing a data interface with a dispatching operation system;
and S2, effective data identification and collection: acquiring data information through a data interface established by each large service system, identifying and acquiring effective data, performing mass data information matching association according to dispatcher operation record information and remote control switch equipment information, an IP address and an IP group number of a distribution network line automatic switch, judging success and failure conditions of a remote control operation record remote control switch according to mass alarm and action information, and intelligently generating an original remote control operation record;
s3 remote record intelligent analysis: according to the generated original remote control operation record, intelligent analysis is carried out, and the specific rule is as follows:
(1) intelligently dividing the subordinate transformer substations, district stations and power supply stations according to the original remote control operation records;
(2) remote control recording total times are the remote control success times and the remote control failure times;
(3) and (3) recording the number of times of successful remote control: the number of times of successful remote control of the same automatic switch (IP and group number are consistent) is recorded for N times within 24 hours, and the statistics is N times (if the same automatic switch has 5 successful remote control records within 24 hours, the statistics is successful for 5 times);
(4) the remote control failure recording times are remote control returning correction failure, remote control returning correction overtime and remote control refusing operation;
(5) recording times of remote control failure: the method comprises the steps that all records of an original remote control operation record database are scanned, any remote control failure record of the same automatic switch (the IP and the group number are consistent) is locked, and all failure records of the automatic switch are not counted as long as any remote control success record of the same automatic switch (the IP and the group number are consistent) exists within 2 hours; if the same automatic switch (the IP and the group number are consistent) has no record of successful remote control within 2 hours, only counting 1 remote control failure record of the automatic switch which fails no matter how many times the automatic switch (the IP and the group number are consistent) fails in remote control;
s4 remote record inventory storage: respectively storing the result records of the intelligent analysis of the remote control records, establishing a database for the remote control records, and respectively storing the remote control records to a detailed remote control record list; recording the detailed list successfully in a remote control mode; a detailed list of remote control failure records;
s5 report of success rate of remote control of automatic switch of multi-dimensional distribution network: and storing records according to the detailed remote control record list, intelligently and automatically carrying out analysis and calculation, generating automatic switch remote control success rate reports such as regional dimension, power supply station dimension and the like, and automatically tracking and generating the detailed remote control condition details and the detailed list of the automatic switch. The specific reporting modes are as follows:
the intelligent analysis method for the remote control success rate of the regional distribution network automatic switch, which belongs to the invention, has the advantages that:
compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the invention can collect and extract key remote control switch data from each large-scale service system, automatically generate effective remote control switch success and failure records according to a scientific algorithm by an intelligent analysis method, and automatically generate an automatic switch remote control success rate analysis report according to the remote control switch records generated by the records and the division areas, thereby fundamentally solving the problem of the prior pure manual statistics of the automatic switch remote control success rate, providing effective evaluation and improvement means for the automatic switch operation equipment condition and the intelligent power grid propulsion, and promoting the construction and development of the intelligent power grid.
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FIG. 1 is a block diagram of the process flow of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, for the working process principle, relevant basic data information is obtained by establishing a data interface with each large business system. For example, a data interface is established with a power grid production management information system to obtain station, line, automatic switch and common switch information of a power grid basic account, remote switch equipment information, IP addresses and IP group numbers of automatic switches of distribution network lines, switch on-line conditions, dispatcher operation records and the like. Identifying and collecting effective data according to the information of each large business system, matching and associating the data information, intelligently generating an original remote control operation record, carrying out intelligent analysis on the remote control record, establishing a database for a detailed remote control record list according to specific filtering rules, and respectively storing the detailed remote control record list; recording the detailed list successfully in a remote control mode; and recording a detailed list of remote control failures, and finally generating a multi-dimensional distribution network automatic remote control success rate report.
The specific implementation process is as follows:
s1 basic data acquisition 1: establishing a data interface with each large service system to acquire relevant basic data information;
s2 power grid production management information system 2: the method comprises the steps that a data interface is established with a power grid production management information system, and station, line, automatic switch and common switch information of a power grid basic ledger is obtained;
s3 distribution network automation system 3: the method comprises the steps that a data interface is established with a distribution network automation system, and data information such as remote switch equipment information, IP addresses, IP group numbers, switch online conditions and the like of an automatic switch of a distribution network line are obtained;
s4 schedules the operating system 4 to run: acquiring operation record information, mass alarms, action information, automation equipment information and the like of a dispatcher by establishing a data interface with a dispatching operation system;
s5 valid data identification and collection 5: acquiring data information by a data interface established by each large service system, identifying and acquiring effective data, performing mass data information matching association according to dispatcher operation record information and remote control switch equipment information, an IP address and an IP group number of a distribution network line automatic switch, judging success and failure conditions of remote control operation record remote control switch according to mass alarm and action information, and intelligently generating an original remote control operation record;
s6 remote record intelligent analysis 6: according to the original remote control operation record generated in the S4, intelligent analysis is carried out according to the following rule, and the remote control success record classifies the times of N times of successful remote control of the same automatic switch (with consistent IP and group number) in 24 hours into a record; the 'remote control failure record' is that any remote control failure record of the same automatic switch (the IP and the group number are consistent) is locked by scanning all records of an original remote control operation record database, and as long as any remote control success record of the same automatic switch (the IP and the group number are consistent) exists within 2 hours, all the failure records of the automatic switch are not counted; if the same automatic switch (the IP and the group number are consistent) has no record of successful remote control within 2 hours, only counting 1 remote control failure record of the automatic switch which fails no matter how many times the automatic switch (the IP and the group number are consistent) fails in remote control;
s7 remote control success recording number of times 7: storing the data item classified as "remote control successful record" at S6;
s8 remote control failure recording number of times 8: storing the data item classified as "remote control failure record" at S6;
s9 remote record total number of times 9: accumulating the remote control records of S7 and S8 for storage;
s10 report on success rate of remote control of multi-dimensional distribution network automation switch 10: and analyzing the calculation result by S9 to generate a multi-dimensional distribution network automatic switch remote control success rate report, wherein the report comprises a regional distribution network automatic switch remote control success rate report, a power supply station regional distribution network automatic switch remote control success rate report and detailed lists corresponding to the reports.
The same or similar reference numerals correspond to the same or similar parts;
the positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A remote control success rate analysis method for an automatic switch of a regional distribution network is characterized by comprising the following steps:
s1: acquiring basic data;
s2: identifying valid data from the obtained base data;
s3: carrying out remote control recording analysis by using the obtained effective data;
s4: storing a detailed list of remote control records;
s5: and generating a remote control success rate report of the multi-dimensional distribution network automatic switch.
2. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 1, wherein the specific process of the step S1 is as follows:
the method comprises the following steps of establishing a data interface with each large service system to obtain relevant basic data information: and the station, line, automatic switch and common switch information of the power grid basic ledger is obtained by establishing a data interface with a power grid production management information system.
3. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 1, wherein the specific process of the step S2 is as follows:
data information is collected through a data interface established by each large service system, effective data is identified and collected, mass data information matching association is carried out according to dispatcher operation record information and remote control switch equipment information, IP addresses and IP group numbers of the automatic switches of the distribution network lines, success and failure conditions of the remote control switch are judged and recorded according to mass alarm and action information, and an original remote control operation record is generated.
4. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 3, wherein the specific process of the step S3 is as follows:
according to the generated original remote control operation record, intelligent analysis is carried out, and the specific rule is as follows:
(1) intelligently dividing the subordinate transformer substations, district stations and power supply stations according to the original remote control operation records;
(2) remote control recording total times are the remote control success times and the remote control failure times;
(3) and (3) recording the number of times of successful remote control: the number of times of successful remote control of the same automatic switch is recorded within 24 hours, and is counted as N times;
(4) the remote control failure recording times are remote control returning correction failure, remote control returning correction overtime and remote control refusing operation;
(5) recording times of remote control failure: and locking any remote control failure record of the same automatic switch by scanning all records in the original remote control operation record database, and not counting all the failure records of the automatic switch as long as any remote control success record of the same automatic switch exists within 2 hours.
5. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 4, wherein if the same automation switch has no record of the success of remote control within 2 hours, only 1 remote control failure record of the automation switch is counted no matter how many times the automation switch fails in remote control.
6. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 5, wherein the specific process of the step S4 is as follows:
respectively storing the result records of the intelligent analysis of the remote control records, establishing a database for the remote control records, and respectively storing the remote control records to a detailed remote control record list; recording the detailed list successfully in a remote control mode; a remote control failure record inventory.
7. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 6, wherein the specific process of the step S5 is as follows:
and storing records according to the detailed remote control record list, intelligently and automatically carrying out analysis and calculation, generating automatic switch remote control success rate reports such as regional dimension, power supply station dimension and the like, and tracking and generating the detailed remote control condition details and the detailed list of the automatic switch.
8. The method for analyzing the remote control success rate of the regional distribution network automation switch according to claim 7, wherein the step S1 further comprises obtaining the remote control switch device information, the IP address and the IP group number of the distribution network line automation switch, and the switch on-line condition data by establishing a data interface with the distribution network automation system.
9. The method for analyzing remote control success rate of an automatic switch of a regional distribution network according to claim 8, wherein the step S1 further comprises obtaining dispatcher operation record information, mass alarms, action information and automation equipment information by establishing a data interface with a dispatching operation operating system.
10. The method for analyzing remote control success rate of the regional distribution network automation switch according to claim 9, wherein the report of the switch remote control success rate is:
。
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112821567A (en) * | 2021-03-18 | 2021-05-18 | 广东电网有限责任公司佛山供电局 | Method and device for processing remote control failure of distribution network switch |
CN112883051A (en) * | 2021-04-12 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Intelligent extraction method and system for field data of distribution network power conversion field |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105678467A (en) * | 2016-01-15 | 2016-06-15 | 国家电网公司 | Regulation and control integrated data analysis and aid decision making system and method under ultrahigh-voltage alternating current and direct current networking |
EP2596613B1 (en) * | 2010-07-23 | 2017-04-19 | Saudi Arabian Oil Company | System and computer-implemented method providing an integrated node for data acquisition and control |
CN106991513A (en) * | 2016-08-17 | 2017-07-28 | 北京科东电力控制系统有限责任公司 | It is a kind of based on the distribution network terminal postitallation evaluation method for adopting profile data |
CN108510201A (en) * | 2018-04-08 | 2018-09-07 | 上海金智晟东电力科技有限公司 | Establish the data mining framework algorithm of distribution automation remote control index |
CN108988487A (en) * | 2018-06-19 | 2018-12-11 | 国电南瑞科技股份有限公司 | A kind of grid power blackout event recognition method based on multidimensional data |
CN109599947A (en) * | 2018-12-06 | 2019-04-09 | 国网北京市电力公司 | Power distribution automation application index on-line monitoring method |
-
2020
- 2020-04-16 CN CN202010298733.3A patent/CN111478439A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2596613B1 (en) * | 2010-07-23 | 2017-04-19 | Saudi Arabian Oil Company | System and computer-implemented method providing an integrated node for data acquisition and control |
CN105678467A (en) * | 2016-01-15 | 2016-06-15 | 国家电网公司 | Regulation and control integrated data analysis and aid decision making system and method under ultrahigh-voltage alternating current and direct current networking |
CN106991513A (en) * | 2016-08-17 | 2017-07-28 | 北京科东电力控制系统有限责任公司 | It is a kind of based on the distribution network terminal postitallation evaluation method for adopting profile data |
CN108510201A (en) * | 2018-04-08 | 2018-09-07 | 上海金智晟东电力科技有限公司 | Establish the data mining framework algorithm of distribution automation remote control index |
CN108988487A (en) * | 2018-06-19 | 2018-12-11 | 国电南瑞科技股份有限公司 | A kind of grid power blackout event recognition method based on multidimensional data |
CN109599947A (en) * | 2018-12-06 | 2019-04-09 | 国网北京市电力公司 | Power distribution automation application index on-line monitoring method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112821567A (en) * | 2021-03-18 | 2021-05-18 | 广东电网有限责任公司佛山供电局 | Method and device for processing remote control failure of distribution network switch |
CN112883051A (en) * | 2021-04-12 | 2021-06-01 | 广东电网有限责任公司佛山供电局 | Intelligent extraction method and system for field data of distribution network power conversion field |
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