CN104751285B - Power network schedule automation front-collection data accuracy differentiates and warning system - Google Patents
Power network schedule automation front-collection data accuracy differentiates and warning system Download PDFInfo
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- CN104751285B CN104751285B CN201510141705.XA CN201510141705A CN104751285B CN 104751285 B CN104751285 B CN 104751285B CN 201510141705 A CN201510141705 A CN 201510141705A CN 104751285 B CN104751285 B CN 104751285B
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- 238000004321 preservation Methods 0.000 claims abstract description 4
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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
- 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
Abstract
A kind of power network schedule automation front-collection data accuracy of present invention offer differentiates and warning system, further include front server group, 1 analyzing processing server and the man-machine interface of 4 front servers composition including existing automation system for the power network dispatching main website；4 front servers are connect by 1 to No. 4 channel with automation system for the power network dispatching main website respectively；Each front server is built-in with data acquisition module for obtaining and preserving remote signalling and telemetry and for parsing data and establishing associated data dissection process module with substation equipment；Analyzing processing server is built-in with data categorization module and remote signalling for being transmitted to data categorization module and telemetry differentiate the Data Analysis Services module of processing；Man-machine interface is shown for data information, abnormality alarming and information preservation count.The accuracy for the data that the present invention can acquire automation system for the power network dispatching differentiates automatically and abnormality alarming, improves the safety operation level of power grid.
Description
Technical field
The present invention relates to power system dispatching automation technique fields, and in particular to a kind of in automation system for the power network dispatching
Front-collection data carry out accuracy differentiation and warning system.
Background technology
In recent years, with economic and society fast development, power grid construction is quickly grown therewith, town and country substation number day
Benefit increases, and dispatching of power netwoks task is heavier.Currently, power supply department dispatching of power netwoks is generally adjusted using dispatch automated system
Work is spent, one of the premise that automation system for the power network dispatching carries out accurate and effective Automatic dispatching is needed to affiliated each substation
Data carry out accurate and effective acquisition, prevent from leading to dispatching and monitoring accident because of gathered data mistake, to each substation
Operation carry out effective automatic monitoring, to ensure power network safety operation.Therefore, increasingly numerous with dispatching of power netwoks task
The workload of weight, automation system for the power network dispatching monitoring is being continuously increased, and the requirement of system data acquisition accuracy is also continuous
It improves, and the accuracy of front-collection data is differentiated in automation system for the power network dispatching be difficult to completely with auto-alarming part at present
Foot is current to be needed, and is needed to optimize and be improved.
Invention content
The purpose of the present invention is：Problem in view of the prior art provides a kind of power network schedule automation front-collection data
Accuracy differentiates and warning system, in use, can be to the substation operation data that automation system for the power network dispatching acquires
Accuracy is differentiated that the automatic outputting alarm of energy when judging that gathered data occurs abnormal is supervised to improve dispatching of power netwoks automatically
Control personnel for the control of gathered data accuracy, ensure dispatching of power netwoks monitoring personnel accurately carry out the monitoring of operation of power networks with
Scheduling, improves the safety operation level of power grid.
The technical scheme is that：The power network schedule automation front-collection data accuracy of the present invention differentiates and alarm
System, including automation system for the power network dispatching main website, the automation system for the power network dispatching main website is built-in with to be acquired in real time
The remote signalling of affiliated each substation and telemetry；It is structurally characterized in that:Further include front server group, analyzing processing server and
Man-machine interface；
Front server group includes 4 front servers；4 front servers pass through 1 to No. 4 channel and power grid respectively
Dispatch automated system main website connects；Each front server is built-in with：
Data acquisition module, the remote signalling for obtaining and preserving automation system for the power network dispatching main website and telemetry；Number
It is connect with automation system for the power network dispatching master station communication according to acquisition module；
Data dissection process module, for parse data that data acquisition module has preserved and by telemetering, remote signalling data with
Substation equipment establishes association；Data dissection process module is electrically connected with data acquisition module block signal；
Analyzing processing server is built-in with：
Data categorization module, for classifying by the different data informations to reception of substation and channel；Data classification mould
Block is electrically connected with the data dissection process module by signal of each front server；
Data Analysis Services module, remote signalling and telemetry for being transmitted to data categorization module carry out differentiation processing；
Wherein, remote signalling data is differentiated using the data of channel 1 compare with the data of other 3 channels；To telemetry
Differentiated compared with the telemetry judgment threshold of setting after variance rate by calculating each channel；
Man-machine interface is shown for data information, abnormality alarming, information preservation count and parameter setting；Man-machine interface with
Analyzing processing server communication connects；
The Data Analysis Services module of above-mentioned analyzing processing server uses following rule to substation equipment remote signalling data
Then differentiated：
Data Analysis Services module compares the 1 of same substation, 2,3, No. 4 channel data, and manner of comparison is letter
Compared with its excess-three channel data, comparison result is indicated 1 data of road with C12, C13, C14：
If C12, C13, C14 are identical, judge that each channel data collection of the substation is correct；
If in C12, C13, C14 only there are one be on the contrary, if judge that the corresponding equipment state-signal collection of the opposite one is wrong
Accidentally；
If C12, C13, C14 be all on the contrary, if judge 1 corresponding equipment state-signal collection mistake of channel；
If in C12, C13, C14 there are two on the contrary, if prompt manually to check the substation data it is distant to judge
Letter acquisition false channel；
The Data Analysis Services module of the analyzing processing server is using each channel telemetry variance rate and setting
Judgment threshold compared to relatively differentiating to substation equipment telemetry：
If the corresponding gathered data of 1 substation equipment telemetering amount, 4 channels is respectively：D1, D2, D3 and D4, data point
Analysis processing module is differentiated using following steps：
The first step：Mutually difference R between each channel data is calculated, wherein：
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
Second step：Size sequence is carried out to difference result R12, R13, R14, R23, R24, R34 of calculating, selects minimum
Difference Rmn, wherein m, n are corresponding channel designator；
Third walks：The variance rate V of each channel is calculated, wherein：
V1=2 × D1/ (Dm+Dn)；
V2=2 × D2/ (Dm+Dn)；
V3=2 × D3/ (Dm+Dn)；
V4=2 × D4/ (Dm+Dn)；
4th step：The variance rate V of each channel of calculating is compared with the telemetry judgment threshold of setting, determination is sentenced
Determine result：
Data Analysis Services module is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel telemetering variance rate V≤5% judges that each channel Telemetry Data Acquisition quality is good；
If 5% ＜ V ＜ 20% of channel telemetering variance rate, judge that the channel Telemetry Data Acquisition is second-rate；
If channel telemetering variance rate V >=20% judges that the channel Telemetry Data Acquisition is unqualified.
The present invention has the effect of positive：Power network schedule automation front-collection data accuracy differentiates and warning system,
Itself in use, the accuracy of substation operation data that can be acquired to automation system for the power network dispatching differentiate automatically, when
Judge energy automatic outputting alarm when gathered data occurs abnormal, it is accurate for gathered data to improve dispatching of power netwoks monitoring personnel
Property control, ensure that dispatching of power netwoks monitoring personnel accurately carries out the monitoring and scheduling of operation of power networks, improve the safety fortune of power grid
Row is horizontal；Meanwhile the present invention is easy to realize on the basis of existing automation system for the power network dispatching, construction cost is not high, is easy to
It promotes in this industry, strong applicability.
Description of the drawings
Fig. 1 is the structural diagram of the present invention；
Fig. 2 is the flow chart of work methods of the present invention.
Reference numeral in above-mentioned attached drawing is as follows：
Automation system for the power network dispatching main website 1,
Front server group 2, data acquisition module 21, data dissection process module 22,
Analyzing processing server 3, data categorization module 31, Data Analysis Services module 32,
Man-machine interface 4.
Specific implementation mode
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
（Embodiment 1）
See Fig. 1 and Fig. 2, the power network schedule automation front-collection data accuracy of the present embodiment differentiates and warning system,
Mainly it is made of automation system for the power network dispatching main website 1, front server group 2, analyzing processing server 3 and man-machine interface 4.
Automation system for the power network dispatching main website 1 is that dispatching of power netwoks department is existing, automation system for the power network dispatching with it is affiliated every
1,2,3, No. 4 totally four acquisition channel is provided between one substation, for the remote signalling of the substation and telemetry intelligence (TELINT) into reality
When acquire, the remote signalling of affiliated each substation of acquisition and telemetry are placed in automation system for the power network dispatching main website 1.
Front server group 2 is made of 4 front servers, which respectively passes through 1 special line information respectively
Channel（Abbreviation channel）It is connect with automation system for the power network dispatching main website 1, namely passes through 1 to No. 4 channel and dispatching of power netwoks respectively
Automated system main website 1 connects.Each front server is built-in with data acquisition module 21 and data dissection process module 22.Data
Acquisition module 21 is communicated with automation system for the power network dispatching main website 1, is obtained and is preserved built in automation system for the power network dispatching main website 1
The remote signalling of respective channel that acquires in real time of affiliated each substation and telemetry；Data dissection process module 22 parses data and adopts
The data that have preserved of collection module 21, and according to the modeling information of dispatching automation by telemetering, remote signalling data and corresponding substation
Equipment establishes association；Data dissection process module 22 is electrically connected with 21 signal of data acquisition module.
Analyzing processing server 3 is built-in with data categorization module 31 and data analysis and processing module 32.Data categorization module
31 are electrically connected with 22 signal of data dissection process module of each front server；Data Analysis Services module 32 and data classification mould
31 signal of block is electrically connected.
Data categorization module 31 is used to classify to the data information of reception by the difference of substation and channel, to distinguish
The facility information of a certain substation is respectively from which different channel.
Data Analysis Services module 32 is used to the remote signalling of the substation of reception and telemetry carrying out differentiation processing.
Data Analysis Services module 32 differentiates substation equipment remote signalling data using following rule：
One substation has 1,2,3,4 totally four acquisition channels, and Data Analysis Services module 32 is according to equipment measuring point
Number 4 channel datas being compared one by one, manner of comparison is channel 1 compared with its excess-three channel, comparison result C12,
C13, C14 are indicated：
If C12, C13, C14 are identical, judge that each channel data collection of the substation is correct；
If in C12, C13, C14 only there are one be on the contrary, if judge that the corresponding equipment state-signal collection of the opposite one is wrong
Accidentally；Such as R12 is on the contrary, then judging 2 corresponding equipment state-signal collection mistake of channel；
If C12, C13, C14 be all on the contrary, if judge corresponding equipment state-signal collection mistake in channel 1；
If in C12, C13, C14 there are two on the contrary, if be unable to judge accurately as which channel data collection mistake, output
Prompt needs manually to check substation data to judge state-signal collection false channel.
Data Analysis Services module 32 is using each channel telemetry variance rate relatively to becoming compared with the judgment threshold of setting
Power station equipment telemetry is differentiated：
If the corresponding gathered data of 1 substation equipment telemetering amount, 4 channels is respectively：D1, D2, D3 and D4, data point
Analysis processing module 32 is differentiated using following steps：
The first step：Calculate mutually difference R between each channel data：
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
In this step, calculating cycle preferably 5 minutes.
Second step：Size sequence is carried out to difference result R12, R13, R14, R23, R24, R34 of calculating, selects minimum
Difference Rmn, wherein m, n are corresponding channel designator；
Third walks：Calculate the variance rate V of each channel：
V1=2 × D1/ (Dm+Dn)；
V2=2 × D2/ (Dm+Dn)；
V3=2 × D3/ (Dm+Dn)；
V4=2 × D4/ (Dm+Dn)；
In this step, calculating cycle preferably 5 minutes.
4th step：The variance rate V of each channel of calculating is compared with the telemetry judgment threshold of setting, determination is sentenced
Determine result：
Data Analysis Services module 32 is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel telemetering variance rate V is respectively less than or is equal to 5%, judge that each channel Telemetry Data Acquisition quality is good；
If channel telemetering variance rate 5%<V<20%, then judge that the channel Telemetry Data Acquisition is second-rate；
If channel telemetering variance rate V >=20% then judges that the channel Telemetry Data Acquisition is unqualified.
Data Analysis Services module 32 is to 4 output data of man-machine interface, judgement result and prompt message.
Man-machine interface 4 preferably uses PC machine.Man-machine interface 4 is communicated with analyzing processing server 3, carries out information exchange.
Man-machine interface 4 is shown for data information, abnormality alarming and information preservation count；When needing, monitoring personnel can lead to
Man-machine interface 4 is crossed to carry out such as telemetry variance rate automatic decision threshold value relevant parameter built in analyzing processing server 3
Setting.
Man-machine interface 4 receives the data of 3 transmission of analyzing processing server, divides substation, subchannel automatically, using paging side
Formula shows telemetering and remote signalling information；It is man-machine when analyzing processing server 3 judges that the channel information of a certain substation is deposited when abnormal
Interface 4 carries out bright aobvious（It is red）Alarm, to facilitate monitoring personnel to find in time and handle exception information；Preserve the period simultaneously
Different channel informations are analyzed for post-processing.
Above example is the explanation rather than limitation of the present invention to the specific implementation mode of the present invention, related technology
The technical staff in field without departing from the spirit and scope of the present invention, can also make various transformation and variation and obtain
To corresponding equivalent technical solution, therefore all equivalent technical solutions should be included into the patent protection model of the present invention
It encloses.
Claims (1)
1. a kind of power network schedule automation front-collection data accuracy differentiates and warning system, including power network schedule automation system
Unite main website（1）, the automation system for the power network dispatching main website（1）Be built-in with the affiliated each substation acquired in real time remote signalling and
Telemetry；It is characterized in that:It further include front server group（2）, analyzing processing server（3）And man-machine interface（4）；
Front server group（2）Including 4 front servers；4 front servers pass through 1 to No. 4 channel and power grid respectively
Dispatch automated system main website（1）Connection；Each front server is built-in with：
Data acquisition module（21）, for obtaining and preserving automation system for the power network dispatching main website（1）Remote signalling and telemetry；
Data acquisition module（21）With automation system for the power network dispatching main website（1）Communication connection；
Data dissection process module（22）, for parsing data acquisition module（21）The data that have preserved and by telemetering, remote signalling number
It is associated with according to substation equipment foundation；Data dissection process module（22）With data acquisition module（21）Signal is electrically connected；
Analyzing processing server（3）It is built-in with：
Data categorization module（31）, for classifying by the different data informations to reception of substation and channel；Data classification mould
Block（31）With the data dissection process module of each front server（22）Signal is electrically connected；
Data Analysis Services module（32）, for data categorization module（31）The remote signalling of transmission and telemetry carry out at differentiation
Reason；Wherein, remote signalling data is differentiated using the data of channel 1 compare with the data of other 3 channels；To telemetering number
According to being differentiated compared with the telemetry judgment threshold of setting after the variance rate by calculating each channel；
Man-machine interface（4）, shown for data information, abnormality alarming, information preservation count and parameter setting；Man-machine interface（4）
With analyzing processing server（3）Communication connection；
The analyzing processing server（3）Data Analysis Services module（32）To substation equipment remote signalling data using following
Rule is differentiated：
Data Analysis Services module（32）The 1 of same substation, 2,3, No. 4 channel data is compared, manner of comparison is letter
Compared with its excess-three channel data, comparison result is indicated 1 data of road with C12, C13, C14：
If C12, C13, C14 are identical, judge that each channel data collection of the substation is correct；
If in C12, C13, C14 only there are one be on the contrary, if judge the corresponding equipment state-signal collection mistake of the opposite one；
If C12, C13, C14 be all on the contrary, if judge 1 corresponding equipment state-signal collection mistake of channel；
If in C12, C13, C14 there are two on the contrary, if prompt manually to check the substation data to judge that remote signalling is adopted
Collect false channel；
The analyzing processing server（3）Data Analysis Services module（32）Using each channel telemetry variance rate with set
Fixed judgment threshold, which is compared, relatively differentiates substation equipment telemetry：
If the corresponding gathered data of 1 substation equipment telemetering amount, 4 channels is respectively：D1, D2, D3 and D4, at data analysis
Manage module（32）Differentiated using following steps：
The first step：Mutually difference R between each channel data is calculated, wherein：
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
Second step：Size sequence is carried out to difference result R12, R13, R14, R23, R24, R34 of calculating, selects minimum difference
Rmn, wherein m, n are corresponding channel designator；
Third walks：The variance rate V of each channel is calculated, wherein：
V1=2 × D1/ (Dm+Dn)；
V2=2 × D2/ (Dm+Dn)；
V3=2 × D3/ (Dm+Dn)；
V4=2 × D4/ (Dm+Dn)；
4th step：The variance rate V of each channel of calculating is compared with the telemetry judgment threshold of setting, determines judgement knot
Fruit：
Data Analysis Services module（32）It is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel telemetering variance rate V≤5% judges that each channel Telemetry Data Acquisition quality is good；
If 5% ＜ V ＜ 20% of channel telemetering variance rate, judge that the channel Telemetry Data Acquisition is second-rate；
If channel telemetering variance rate V >=20% judges that the channel Telemetry Data Acquisition is unqualified.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106296457A (en) * | 2016-08-12 | 2017-01-04 | 新疆信息产业有限责任公司 | Save and adjust automated information checking method |
| CN107276236A (en) * | 2017-08-08 | 2017-10-20 | 国网江苏省电力公司宿迁供电公司 | A kind of power network remote measurement warning strategies method based on floating threshold criterion |
| CN109450085B (en) * | 2018-10-24 | 2022-06-07 | 云南电网有限责任公司电力科学研究院 | Equipment abnormity alarm signal processing system based on scheduling and control integration |
| CN109274178B (en) * | 2018-11-14 | 2020-09-08 | 国网甘肃省电力公司电力科学研究院 | Automatic analysis system and method for power dispatching preposed operation information |
| CN109510724B (en) * | 2018-11-22 | 2022-03-22 | 国网陕西省电力公司西安供电公司 | Data acquisition and application method based on TAS device |
| CN110266109A (en) * | 2019-06-26 | 2019-09-20 | 广东电网有限责任公司 | A kind of unmanned substation's centralized dispatching monitoring method and system |
| CN110531724B (en) * | 2019-09-17 | 2021-05-14 | 国网辽宁省电力有限公司辽阳供电公司 | Remote measurement automatic sampling definition method based on smart power grid dispatching control system |
| CN112884602B (en) * | 2021-02-24 | 2023-09-12 | 广东电网有限责任公司 | Power data accuracy analysis method, electronic equipment and medium |
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| "变电站综合自动化监控系统的研究与实现";李新颜;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20111215;第C042-665页 * |
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