CN111752981A - Power dispatching four-remote data quality detection method - Google Patents
Power dispatching four-remote data quality detection method Download PDFInfo
- Publication number
- CN111752981A CN111752981A CN202010616430.1A CN202010616430A CN111752981A CN 111752981 A CN111752981 A CN 111752981A CN 202010616430 A CN202010616430 A CN 202010616430A CN 111752981 A CN111752981 A CN 111752981A
- Authority
- CN
- China
- Prior art keywords
- remote
- data
- remote data
- scada system
- database
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 9
- 230000009471 action Effects 0.000 claims abstract description 13
- 238000012795 verification Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 9
- 238000004804 winding Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 12
- 238000007726 management method Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Software Systems (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a quality detection method for four remote data of power dispatching, which comprises the following steps that S1, an SCADA system acquires the four remote data, the four remote data are recorded into a database according to a signal acquisition specification, and a four remote data form is formed and displayed; step S2, the SCADA system sends the four-remote data form to a master station through a transformer substation, updates data in the connected four-remote database, performs mutual verification on the four-remote data form and the four-remote database, and outputs a verification result; step S3, the SCADA system detects the four-remote signals in the four-remote data table and simultaneously inspects the remote signals of important power grid equipment; and step S4, the SCADA system calls the historical action information of the query signal in the historical information base through the data interface to track, judges whether the debugging is finished, and counts the joint debugging information of each data. The invention reduces the maintenance cost, can remind operation and maintenance personnel to follow after finding out the omission of the debugged data, and improves the practicability and the real-time performance of data quality analysis.
Description
Technical Field
The invention relates to the technical field of power system automation, in particular to a power dispatching four-remote data quality detection method.
Background
The data of a power grid SCADA system (power grid dispatching automation data acquisition and monitoring system) is a direct monitoring object of a power grid dispatcher on the running state of a power grid, and the quality of the data directly influences the judgment of the dispatcher on the health condition and fault location of the power grid. Therefore, the daily monitoring efficiency of the power grid can be improved by improving the quality of the automatic data of the power grid dispatching, and a dispatcher can make correct judgment and adjustment on the operation of the power grid.
The data maintenance process of the conventional power grid SCADA system comprises the steps of graphic library entry, four-remote joint debugging, warehousing, static inspection, dynamic verification and the like. Considering that the new transformer substation is accessed into the power grid SCADA system, the four remote data volume is large, the maintenance operation period is long, if the new transformer substation is maintained in a manual mode, the problems of time and labor consumption, complex data comparison and inspection, mistakes and omissions caused by human negligence and the like are inevitable, and accordingly, certain influence is generated on the safe operation of the power grid.
Therefore, in order to meet the maintenance requirements of a power grid SCADA system on four-remote data, the quality analysis function of the four-remote data of power grid dispatching automation needs to be realized urgently, operation and maintenance personnel are assisted to maintain the four-remote data of the power grid SCADA system in each link, the working efficiency is improved, long-term tracking is realized, and the risk of influence of human factors is reduced.
Disclosure of Invention
The technical problem solved by the embodiment of the invention is that the prior art adopts a manual mode, has low working efficiency and is easy to cause errors.
In one aspect of the present invention, a method for detecting quality of data in power scheduling, includes:
step S1, the SCADA system acquires the four-remote data, the four-remote data are recorded into a database according to the signal acquisition specification, and a four-remote data form is formed and displayed;
step S2, the SCADA system sends the four-remote data form to a master station through a transformer substation, updates the data of the connected four-remote database, performs mutual verification on the four-remote data form and the four-remote database, and outputs a verification result;
step S3, the SCADA system detects the four-remote signals in the four-remote data table and simultaneously inspects the remote signals of important power grid equipment;
and step S4, the SCADA system calls the historical action information of the query signal in the historical information base through the data interface to track, judges whether the debugging is finished, and counts the joint debugging information of each data.
Further, in step S1, the recording of the four-remote data into the database according to the signal acquisition specification specifically includes comparing signals in the form according to a four-remote signal naming specification in the database, and recording the four-remote data meeting the naming specification into the database.
Further, in step S2, the mutual verification between the four-remote data form and the data in the four-remote library is specifically performed by comparing the four-remote data form with the corresponding four-remote data in the four-remote library, calibrating the four-remote data with differences in the four-remote data form, and displaying the calibrated four-remote data.
Further, in step S3, the detecting the quadrite signals in the quadrite data table specifically includes detecting responsibility area information in the quadrite data according to an area ID of the signals and a division standard for protecting responsibility areas of the signals, and visually displaying information data having differences.
Further, in step S3, the detecting the four-remote signal in the four-remote data table specifically includes dividing the alarm mode data in the four-remote data into three types according to the classification standard of the scheduling protection signal, comparing the alarm mode value with the standard, and displaying the data with difference.
Further, in step S3, the detecting the four remote signals in the four remote data table specifically includes checking the remote measurement alarm limit values of important power grid devices including the main transformer, the main transformer winding oil temperature, the main transformer breaker, the bus, the line, the feeder line, and the breaker, and if an incorrect setting is found, alarming.
Further, in step S4, the SCADA system calls, through the data interface, historical action information of the query signal in the historical information base to track, and determines whether debugging is completed, specifically, the SCADA system queries, through the database interface, historical four-remote action information, determines whether the signal participates in on-site debugging according to the action condition, and outputs a debugging result of whether the signal participates in the on-site debugging to the terminal device.
In summary, the embodiment of the invention has the following beneficial effects:
according to the quality detection method for the four-remote data of the power dispatching, provided by the invention, the data of the power grid SCADA system are automatically checked according to the four-remote data specification, the data-by-data maintenance is not required to be manually carried out, and the maintenance cost is greatly reduced.
The auxiliary tracking is realized for the long-period and high-strength four-remote joint debugging work, operation and maintenance personnel can be reminded to follow up after the omission of the debugging data is found, the signal storage condition, the current situation of the signal quality of a station and the like are known, the debugging and rectification work is convenient to carry out, and the management cost is reduced.
According to the requirement of signal standard change, the signal acquisition standard can be updated at any time, the data quality is automatically checked again, the result of comparison with the new data acquisition standard is rapidly displayed, and the practicability and the real-time performance of data quality analysis are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic main flow chart of a power scheduling four-remote data quality detection method provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an embodiment of a power scheduling four-remote data quality detection method according to the present invention. In this embodiment, the method comprises the steps of:
step S1, the SCADA system acquires the four-remote data, the four-remote data are recorded into a database according to the signal acquisition specification, and a four-remote data form is formed and displayed;
in the specific embodiment, before data is input into a power grid SCADA system database, four-remote data is input into a data quality analysis tool according to a template rule, the input data is checked according to a four-remote signal naming standard, the four-remote data meeting the naming standard is input into the database, the four-remote data not meeting the naming standard is displayed, modification opinions are given, and the checking standard of the data quality analysis tool can be modified according to the latest standard requirements so as to adapt to different standard requirements.
Step S2, the SCADA system sends the four-remote data form to a master station through a transformer substation, updates data in the connected four-remote database, performs mutual verification on the four-remote data form and the four-remote database, and outputs a verification result;
in a specific embodiment, the four-remote data form is compared with the four-remote data in the corresponding four-remote library, and the four-remote data with differences in the four-remote data form is calibrated and displayed; the OMS system is a power grid operation management system, a transformer substation sends a newly-added four-remote data form to an automatic master station, a maintainer finishes the form after finishing data warehousing and updates the four-remote database in the OMS system, a data quality analysis tool verifies the four-remote information in the SCADA system and the four-remote database in the OMS system, a verification result is visually displayed, data difference is revealed, and the correction of errors by the maintainer is facilitated.
Step S3, the SCADA system detects the four-remote signals in the four-remote data table and simultaneously inspects the remote signals of important power grid equipment;
in the specific embodiment, important fields such as responsibility areas, alarm modes, channels and the like of the four-remote signals are checked: detecting responsibility area information in the four-remote data according to the area ID of the signal and a division standard for protecting the responsibility area of the signal, and visually displaying the information data with difference; dividing alarm mode data in the four-remote data into three types according to the classification standard of a scheduling protection signal and the degree of urgency of the protection signal, namely a first type, a second type and a third type, comparing alarm mode values with the standard and displaying data with differences; and the channel of the four-remote signal is displayed according to the comparison result of the plant station to which the signal belongs and the channel field.
Specifically, the telemetering alarm limit values of important power grid equipment including a main transformer, a main transformer winding oil temperature, a main transformer breaker, a bus, a line, a feeder line and a breaker are checked, and if wrong setting is found, an alarm is given; wrong setting is found in time, and the safety risk of wrong and missed alarm caused by wrong limit value setting is avoided.
Step S4, the SCADA system calls the historical action information of the query signal in the historical information base through the data interface to track, judges whether the debugging is finished, and counts the joint debugging information of each data;
in a specific embodiment, the SCADA system inquires historical four-remote-control action information through a database interface, judges whether the signal participates in on-site debugging according to the action condition and outputs a debugging result of whether the signal participates in the on-site debugging to the terminal equipment; tracking the state information of the signal storage, calling an interface to inquire signal historical action information from the SCADA system historical information base, judging whether debugging is finished or not, and counting data joint debugging information; related personnel can also know the data storage state of the SCADA system through the terminal, know in advance whether the condition of four remote control joint debugging is available or not, reduce the communication cost, analyze abnormal conditions and feed back abnormal reason information.
In summary, the embodiment of the invention has the following beneficial effects:
according to the quality detection method for the four-remote data of the power dispatching, provided by the invention, the data of the power grid SCADA system are automatically checked according to the four-remote data specification, the data-by-data maintenance is not required to be manually carried out, and the maintenance cost is greatly reduced.
The auxiliary tracking is realized for the long-period and high-strength four-remote joint debugging work, operation and maintenance personnel can be reminded to follow up after the omission of the debugging data is found, the signal storage condition, the current situation of the signal quality of a station and the like are known, the debugging and rectification work is convenient to carry out, and the management cost is reduced.
According to the requirement of signal standard change, the signal acquisition standard can be updated at any time, the data quality is automatically checked again, the result of comparison with the new data acquisition standard is rapidly displayed, and the practicability and the real-time performance of data quality analysis are improved.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (7)
1. A power dispatching four-remote data quality detection method is characterized by comprising the following steps:
step S1, the SCADA system acquires the four-remote data, the four-remote data are recorded into a database according to the signal acquisition specification, and a four-remote data form is formed and displayed;
step S2, the SCADA system sends the four-remote data form to a master station through a transformer substation, updates data in the connected four-remote database, performs mutual verification on the four-remote data form and the four-remote database, and outputs a verification result;
step S3, the SCADA system detects the four-remote signals in the four-remote data table and simultaneously inspects the remote signals of important power grid equipment;
and step S4, the SCADA system calls the historical action information of the query signal in the historical information base through the data interface to track, judges whether the debugging is finished, and counts the joint debugging information of each data.
2. The method according to claim 1, wherein in step S1, the entering of the four-remote data into the database according to the signal acquisition specification is specifically that signals in the form are compared according to a four-remote signal naming specification in the database, the four-remote data meeting the naming specification is entered into the database, and the four-remote data not meeting the naming specification is displayed.
3. The method of claim 2, wherein in step S2, the mutual verification between the four-remote dataform and the data in the four-remote library is performed by comparing the four-remote dataform with the corresponding four-remote data in the four-remote library, calibrating and displaying the four-remote data with differences in the four-remote dataform.
4. The method according to claim 3, wherein in step S3, the detecting the quad signals in the quad data table specifically includes detecting the responsibility area information in the quad data according to the area ID of the signals and the protection signal responsibility area division standard, and visually displaying the information data with differences.
5. The method according to claim 4, wherein the detecting of the quad signal in the quad data table in step S3 specifically comprises dividing the alarm mode data in the quad data into three categories according to a scheduling protection signal classification standard, comparing the alarm mode value with the specification and displaying the data with difference.
6. The method according to claim 5, wherein in step S3, the detecting the four-remote signals in the four-remote data table specifically comprises checking the telemetry alarm limit values of important grid equipment including main transformer, main transformer winding oil temperature, main transformer breaker, bus, line, feeder line and breaker, and alarming if an incorrect setting is found.
7. The method as claimed in claim 6, wherein in step S4, the SCADA system calls a historical signal action information in a historical information base through a data interface to trace, and determines whether debugging is completed, specifically, the SCADA system queries historical four-remote action information through a database interface, determines whether the signal participates in on-site debugging according to the action condition, and outputs the result of on-site debugging to the terminal device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010616430.1A CN111752981A (en) | 2020-06-30 | 2020-06-30 | Power dispatching four-remote data quality detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010616430.1A CN111752981A (en) | 2020-06-30 | 2020-06-30 | Power dispatching four-remote data quality detection method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111752981A true CN111752981A (en) | 2020-10-09 |
Family
ID=72678341
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010616430.1A Pending CN111752981A (en) | 2020-06-30 | 2020-06-30 | Power dispatching four-remote data quality detection method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111752981A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112446801A (en) * | 2020-10-28 | 2021-03-05 | 国网辽宁省电力有限公司 | System and method for effectively improving data quality of power system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110378809A (en) * | 2019-07-29 | 2019-10-25 | 国网河北省电力公司 | A kind of intelligent check method of supervisory control of substation information table information data |
CN110445685A (en) * | 2019-08-09 | 2019-11-12 | 云南电网有限责任公司电力科学研究院 | Remote motion signal all-round property testing method and system |
CN110570646A (en) * | 2019-08-20 | 2019-12-13 | 深圳供电局有限公司 | Four-remote signal acceptance method and system based on historical data |
CN110659822A (en) * | 2019-09-20 | 2020-01-07 | 云南恒协科技有限公司 | Intelligent information monitoring and management system for transformer substation |
CN111105051A (en) * | 2019-12-26 | 2020-05-05 | 国网宁夏电力有限公司中卫供电公司 | Intelligent automation system lightweight master station and information checking method thereof |
-
2020
- 2020-06-30 CN CN202010616430.1A patent/CN111752981A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110378809A (en) * | 2019-07-29 | 2019-10-25 | 国网河北省电力公司 | A kind of intelligent check method of supervisory control of substation information table information data |
CN110445685A (en) * | 2019-08-09 | 2019-11-12 | 云南电网有限责任公司电力科学研究院 | Remote motion signal all-round property testing method and system |
CN110570646A (en) * | 2019-08-20 | 2019-12-13 | 深圳供电局有限公司 | Four-remote signal acceptance method and system based on historical data |
CN110659822A (en) * | 2019-09-20 | 2020-01-07 | 云南恒协科技有限公司 | Intelligent information monitoring and management system for transformer substation |
CN111105051A (en) * | 2019-12-26 | 2020-05-05 | 国网宁夏电力有限公司中卫供电公司 | Intelligent automation system lightweight master station and information checking method thereof |
Non-Patent Citations (1)
Title |
---|
刘超;蒋体茂;: "变电站远动信息联调方式的探讨", 信息通信, no. 01 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112446801A (en) * | 2020-10-28 | 2021-03-05 | 国网辽宁省电力有限公司 | System and method for effectively improving data quality of power system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104020754B (en) | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system | |
CN107658985B (en) | Transformer substation centralized monitoring visualization system and use method thereof | |
CN112701790B (en) | Intelligent joint debugging platform and joint debugging method for transformer substation and master station | |
CN102262401A (en) | Industrial production line monitoring system | |
CN108879654B (en) | Remote diagnosis method based on abnormal remote measurement of abnormal equipment | |
CN113488901B (en) | Safety monitoring system and method for intelligent power distribution cabinet | |
JP2012022602A (en) | Operation improvement analysis system | |
CN111159487A (en) | Predictive maintenance intelligent system for automobile engine spindle | |
CN111752981A (en) | Power dispatching four-remote data quality detection method | |
CN212567494U (en) | Point switch control circuit monitoring and analyzing system | |
CN104076807A (en) | Method of debugging automation system of intelligent substation | |
CN110208028A (en) | The online fault detection method of concrete production equipment and system based on dust concentration | |
CN1987369B (en) | Multifunctional sensor testing device | |
CN101770214B (en) | System and method for indicating analog quantity limit value in nuclear power plant | |
CN108242028B (en) | Visual automatic association method for main wiring diagram and intelligent alarm test case of transformer substation | |
CN111509839A (en) | Trip event model analysis method based on alarm signal | |
CN114692787B (en) | Multi-source data-based three-winding main transformer event analysis processing method and system | |
CN116014893A (en) | Remote visual intelligent inspection system for transformer substation | |
CN115995880A (en) | Comprehensive monitoring and analyzing method and system for multidimensional state of power distribution automation terminal | |
CN113933747A (en) | System and method for detecting grounding current of secondary circuit of voltage transformer | |
CN112532434A (en) | Intelligent monitoring system for network messages of transformer substation | |
AU2022440628B2 (en) | Assessment and control method, system and device for time-energy efficiency of cnc machine tools | |
CN109389229A (en) | It take technology analysis as the I &C equipment maintenance policy analysis method of guiding | |
CN107957524A (en) | A kind of electric energy system anomaly analysis warning system | |
CN113140096B (en) | Method, device, equipment and storage medium for monitoring and judging station loss of voltage |
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 |