CN104504504B - A kind of electric network data transition detection and analysis system based on holographic time scale measurement - Google Patents
A kind of electric network data transition detection and analysis system based on holographic time scale measurement Download PDFInfo
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Abstract
The invention discloses a kind of electric network data transition detection and analysis system based on holographic time scale measurement, to realize that the data jump situation of any measurement to historical period is identified, and is recorded exactly, statistics and analysis.The present invention utilizes the metric data such as the active, voltage that time series databases store in dispatch automated system, using the data jump judgment rule to become more meticulous, the saltus step of power network historical data is accurately detected, and application front end can be pushed to, obtained data jump information is stored into the relational database of dispatch automated system in addition, statistical analysis is carried out to data jump and its plant stand of association, RTU equipment etc., aids in monitoring personnel efficiently processing data jump problem.The present invention improves the accuracy and efficiency of data jump detection, supports to analyze the data jump of arbitrary period, counts again, effectively improves the application level of electric network data saltus step.
Description
Technical field
The present invention relates to a kind of electric network data transition detection and analysis system, belongs to dispatching automation of electric power systems technology neck
Domain.
Background technology
With the propulsion that State Grid Corporation of China's " big operation " builds, the scale of electric power networks is increasing, its structure and fortune
Row mode also becomes increasingly complex, and automation system for the power network dispatching has reached higher level at present, and correlation technique, function can
Enough stable operation, excellent support is provided for work such as operation of power networks monitoring, control and other advanced applied analyses.
But in putting into practice, there is also some problems, such as dispatch automated system main website end in treatment of details and operation
Data reliability problem, grid operating conditions are sentenced because the reliability situation of system data directly influences regulation and control personnel
It is disconnected with analysis (including alarm event monitoring analysis, state estimation analysis, Dispatcher Power Flow analysis and static security analysis etc.),
Therefore ensure that the data reliability of automation system for the power network dispatching seems particularly critical, and how effectively to detect, analyze then
It is then an important process for improving system data reliability to reduce data jump.Here the data jump problem carried refers to adjust
Degree automated system main website data are short not to meet power network primary side actual conditions periodically, such issues that be typically by channel product
Matter is not high, communication parameter configuration is improper or related stipulations software programming is bad caused.The tradition that analysis solves problems is done
Method is according to the more rough data jump result that counts, by expertise from RTU equipment, channel, messaging parameter, stipulations
The factors such as the selection of software are investigated, and because multi-data source is preiodic type data, relatively simple statistical method (is mostly to single
Metric data trend is studied and judged), and the measurement counted is relatively fixed, causes efficiency, precision and the flexibility of analysis to have not
Foot.
In these cases, there is an urgent need to a kind of high-precision data jump automatic detection and statistical analysis technique, energy
The data jump situation of enough any measurements to historical period is identified, and is recorded and counted exactly, and is saltus step
The analysis and solution of problem provide certain support.Through preliminary search, the patent bar related to present invention is temporarily found no
Mesh.
The content of the invention
In order to solve the above problems, the invention provides a kind of electric network data transition detection based on holographic time scale measurement with
Analysis system.
The present invention principle be：Active, the voltage equivalent stored using time series databases in dispatch automated system
Data are surveyed, using the data jump judgment rule to become more meticulous, the saltus step of power network historical data is accurately detected, and can push away
Application front end is delivered to, is in addition stored obtained data jump information into the relational database of dispatch automated system, logarithm
Statistical analysis is carried out according to the plant stand of saltus step and its association, RTU equipment etc., auxiliary monitoring personnel efficiently ask by processing data saltus step
Topic.Wherein, time series databases (also known as " real-time data base ") technology causes automation system for the power network dispatching to be directed to power network amount
The storage mode for surveying data stores from periodicity storage transformation in order to change, and realizes to power network with the complete of time scale measurement data
Breath sampling and storage, it can thus be system upper layer application and the remote measurement to become more meticulous, remote signalling historical data be provided.
The present invention specifically adopts the following technical scheme that：
The system includes service end and client, is deployed in production I areas.
Service end is in backstage longtime running, using time series databases, according to load is active, exchange line segment end points has
The data of the measurements such as work(, main transformer are active, busbar voltage, with reference to business rule, identification data saltus step situation is detected in real time, and will
Statistical result writes the relational database of dispatch automated system；
Service end provides the query interface of data jump statistics；
Client presents and notifies real-time, the historical data saltus step information of its concern of user in several ways, there is provided in detail
Real saltus step statistical information inquiry, there is provided a variety of saltus step analysis strategies quickly understand, dispose or recalled number for analysis, auxiliary user
According to saltus step situation.
Further, service end includes five modules：Second development interface processing module, data interaction processing module, saltus step
Detection and statistical module, saltus step analysis module and weight statistical module.Wherein,
Second development interface module is responsible for receiving, handle and feeding back client or other third-party applications to data jump feelings
The inquiry of condition, the again request such as statistics, good access support is provided for front end applications；
Data interaction processing module is responsible for all and access, tissue and dimensions of all kinds of related datas of dispatch automated system
Shield renewal, it is responsible for the persistence processing of statistic analysis result；
Transition detection and statistical module are responsible for parsing to core business judgment rule, detection, statistics, can according to region,
Transformer station, voltage class, device type, specific device name, saltus step type etc. carry out Technique of Multi-Hierarchy Statistic；
Saltus step analysis module is responsible for all kinds of with the tissue of saltus step relevant information with associating, and forms analysis result collection and is connect for secondary
Mouth accesses；
Weight statistical module is responsible for the statistics again to historical data saltus step situation, the related statistical result renewal of institute etc.,
Can solve the situation of original leakage statistics.
Further, client includes following module：
1) saltus step information real-time display module, it is responsible for latest data saltus step information and refreshes and remind display；
2) saltus step information operation module, it is responsible for the top set of saltus step information, starts to receive, suspends reception, sequence and retrieval；
3) saltus step enquiry module, be responsible for according to region, transformer station, voltage class, device type, specific device name,
The querying conditions such as saltus step type, the RTU equipment of association and manufacturer are inquired about；
4) data jump weight statistical module, is responsible for the statistics again to historical data saltus step；
5) saltus step analysis module, it is responsible for saltus step analysis of statistical results, trend analysis, device distribution analysis, association RTU equipment
And manufacturer's distributional analysis etc.；
6) association analysis module, responsible related information are checked, including wiring diagram, device parameter information and overhaul of the equipments meter
Draw information etc..
Further, it is all in the present invention to pass through the universal data access of system with the data interaction of dispatch automated system
Interface is completed.
By using above-mentioned technical proposal, realize and moment or external trigger statistics moment are counted in the cycle, according to specific
Business rule, the holographic active metric data and bus of network load to statistical time range, exchange line segment end points and main transformer
The data jump analysis that is become more meticulous of holographic voltage metric data, and detection and analysis result is pushed to application front end, deposited
Enter database, carrying out analysis for monitoring personnel checks.The present invention can complete operation of power networks real time data in an automated manner
Saltus step, the detection of any historical period data jump and statistics, and provide typical saltus step analysis strategy.It is automatic using scheduling
The holographic metric data that time series databases store in change system, improve the accuracy and efficiency of data jump detection, branch
Hold and the data jump of arbitrary period is analyzed, counted again, effectively improve the application level of electric network data saltus step.
Brief description of the drawings
Fig. 1 is the module interaction figure of present system.
Fig. 2 is electric network active transition detection schematic flow sheet.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.
In order to complete become more meticulous detection and the statistical analysis of electric network data saltus step situation, using integrated time series databases
Dispatch automated system, to realize the Hologram Storage of the data such as caused all remote measurements, remote signalling during power network real time execution
With efficient access, these with when target metric data and dispatch automated system in the static ginseng of the operation of power networks that has had
Number, model information, topology information, RTU facility informations etc., it is electric network data transition detection and the base of analysis based on time scale measurement
Plinth.
In the present invention, (the service of a data jump statistical fractals is devised in the service layer of dispatch automated system
Hold), the service is to complete the core component of data jump detection and analysis, and it is also responsible for all and scheduling during statistical analysis
The interactive operation of relational database, time series databases in automated system, in addition also forward end interface and other outside
Using interfaces such as offer data access, statistical information access, facility information access and statistical analysis controls；
This service end can provide the multi-angle of data jump situation, multi-level statistics, you can according to region, power transformation
Stand, voltage class, device type, specific device name, the different of saltus step type etc. carry out saltus step statistics；
Another part of the present invention is data jump inquiry end (client), and real-time, history number is completed in service end
On the basis of saltus step details, the information such as model, RTU equipment and manufacturer in integration dispatch automated system, there is provided point
The data jump statistics strategy of layer classification, multidimensional is realized by the display mode of the diversification such as trend analysis figure, pie chart, block diagram
The data jump analysis of degree.
This client can provide the analytic function of various dimensions, you can be carried out according to data jump general evaluation system result detailed
List and trend analysis, association RTU equipment and manufacturer's distribution accounting analysis, the analysis of equipment saltus step situation accounting etc..
This client can also provide the multi-angle of data jump situation, multi-level inquiry, you can according to region, power transformation
Stand, the different progress of voltage class, device type, specific device name, saltus step type, the RTU equipment of association and manufacturer etc.
Inquiry.
Present system is integrated to related scheduling system, and scheduling can be navigated to according to the equipment that data jump occurs
The wiring diagram of automated system, it can also navigate to OMS presentation device parameter information, Plant maintenance plan information.
Using during present system, it is necessary to which dispatch automated system integrates time series data to realize to operation of power networks
The data holographics such as remote measurement, remote signalling store.The service end of the present invention is deployed in production I areas with client, and present system is each
The interworking architecture of module as shown in figure 1, by client triggering or service end in real time/clocked flip carry out data jump detection when,
Transition detection and analysis queue that a new task enters service end are formed, the transition detection and statistical module of service end, is jumped
Becoming analysis module and weight statistical module obtains corresponding task and performed, partial results enter in the result cache of service end,
Other results pass through write-in of the data interaction processing modules implement to database environment.Each functional module of client passes through
The interface that service end provides realizes the acquisition of saltus step information, statistical information, analysis information etc..
Fig. 2 have chosen the testing process of electric network active saltus step, first when starting the data jump detection of once active measurement
First judge whether its numerical value has crossed the threshold value of detection, if crossed, be divided into two kinds of inspections of drift saltus step and abnormal saltus step
Flow gauge, otherwise this transition detection directly terminate.Judge for the active data jump of exchange point section end points, it is necessary to calculate it
The data variation trend of opposite end, is just determined further when trend is consistent.By this flow, can more fully complete
The detection of work(data jump.
The business rule that the present invention carries out data jump detection is as follows：
1st, active metric data saltus step：
Value P of the active measurement of load, exchange line segment end points and main transformer at the T momentTMore than presetting threshold value P0, i.e., |
PT|>|P0|, then it is assumed that saltus step may occur, start as follows for this measurement deployment analysis, criterion：
1) drift saltus step：If this is measured has work value P in next moment T 'T’0 or drift are reduced to, and one before and after T '
The running status of t (such as 20 seconds) equipment is not changed into " out of service " in section of fixing time, then it is assumed that the measurement occurs at the T ' moment
Active saltus step；
2) abnormal saltus step：If this is measured has work value P in next moment T 'T’0 or drift, but P are not reduced toTThan before
Each moment T's " has work value P in certain period of time t (such as 20 seconds)T”Change exceedes certain ratio (such as 20%), and before the T moment
The running status of (such as 20 seconds) equipment is not changed into " out of service " in certain period of time t afterwards, then it is assumed that the measurement T moment occurs
Active saltus step.
Wherein, for exchange line segment end points active saltus step, it is necessary to its opposite end under identical rule, variation tendency with this
When end trend is consistent, it can just assert that saltus step occurs for the measurement.
2nd, voltage measures data jump：
The voltage of bus measures the value U at the T momentTMore than presetting reference voltage value U0Certain ratio (such as 2%), i.e., |
UT-U0|/U0>2%, then it is assumed that voltage jump may occur, start as follows for this measurement deployment analysis, criterion：
Abnormal saltus step：If UTThan the magnitude of voltage U of each moment T " in certain period of time t before the T moment (such as 20 seconds)T”Change
Exceed certain ratio (such as 2%), and the running status of (such as 20 seconds) equipment does not become in the front and rear certain period of time t at T moment
For " out of service ", then it is assumed that the measurement T moment, there occurs voltage jump.
The invention is not restricted to above-described embodiment, all technical schemes formed using equivalent substitution or equivalence replacement are belonged to
The scope of protection of present invention.
Claims (2)
1. a kind of electric network data transition detection and analysis system based on holographic time scale measurement, it is characterised in that including service end
And client, the service end are responsible for using time series databases to obtain in real time or arbitrary period in backstage longtime running
Metric data, in real time detect identification data saltus step situation, and by statistical result write dispatch automated system relation number
According to storehouse, and provide the query interface of data jump statistics；
The client is responsible for presenting and notifies real-time, the historical data saltus step information of its concern of user, there is provided saltus step statistics letter
Breath inquiry and saltus step analysis strategy, auxiliary user quickly understand, dispose or recalled data jump situation；
The service end includes：Second development interface processing module, data interaction processing module, transition detection and statistical module,
Saltus step analysis module and weight statistical module, wherein：The second development interface processing module is responsible for receiving, handle and feeding back institute
Inquiry, the statistics request again of client or other third-party applications to data jump situation are stated, access branch is provided for front end applications
Support；The data interaction processing module is responsible for all and access, tissue and dimensions of all kinds of related datas of dispatch automated system
Shield renewal, it is responsible for the persistence processing of statistic analysis result；The transition detection is responsible for judging core business with statistical module
The parsing of rule, detection, statistics, according to region, transformer station, voltage class, device type, specific device name, saltus step class
Type carries out Technique of Multi-Hierarchy Statistic；The saltus step analysis module is responsible for all kinds of with the tissue of saltus step relevant information with associating, formation analysis
Result set accesses for second interface；The heavy statistical module is responsible for relevant to the statistics again of historical data saltus step situation, institute
Statistical result renewal；
The client includes following module：Saltus step information real-time display module, it is responsible for latest data saltus step information and refreshes and carry
Wake up and show；Saltus step information operation module, it is responsible for the top set of saltus step information, starts to receive, suspends reception, sequence and retrieval；Saltus step
Enquiry module, be responsible for according to region, transformer station, voltage class, device type, specific device name, saltus step type, association
RTU equipment and manufacturer's querying condition are inquired about；Data jump weight statistical module, is responsible for the system again to historical data saltus step
Meter；Saltus step analysis module, it is responsible for saltus step analysis of statistical results, trend analysis, device distribution analysis, association RTU equipment and manufacturer
Distributional analysis；Association analysis module, responsible related information are checked, including wiring diagram, device parameter information and overhaul of the equipments meter
Draw information；
The data jump includes active metric data saltus step and voltage measures data jump；
The recognition rule of the active metric data saltus step is：When the active measurement of load, exchange line segment end points and main transformer is in T
The value P at quarterTMore than presetting threshold value P0When, then it is assumed that saltus step may occur, start for this measurement deployment analysis；Such as
This measurement of fruit has work value P in next moment T 'T’Be reduced to 0 or drift and before and after T ' in certain period of time equipment operation shape
State is not changed into " out of service ", then it is assumed that this, there occurs active saltus step, is determined as drift saltus step by the measurement at the T ' moment；Such as
This measurement of fruit has work value P in next moment T 'T’0 or drift, but P are not reduced toTThan each moment T " in certain period of time before
Have work value PT”The running status that change exceedes equipment in certain ratio and the front and rear certain period of time t at T moment is not changed into
" out of service ", then it is assumed that this, there occurs active saltus step, is determined as abnormal saltus step by the measurement T moment；Wherein, for AC line
Duan Duandian active saltus step is, it is necessary to which its opposite end under identical rule, when variation tendency is consistent with local terminal trend, can just assert this
Measure and saltus step occurs；
The recognition rule that the voltage measures data jump is：When the voltage of bus measures the value U at the T momentTMore than presetting
Reference voltage value U0During certain ratio, then it is assumed that voltage jump may occur, start for this measurement deployment analysis；If UT
Than the magnitude of voltage U of each moment T " in certain period of time before the T momentT”Change exceedes the front and rear certain of certain ratio and T moment
The running status of equipment is not changed into " out of service " in time period t, then it is assumed that the measurement T moment, will there occurs voltage jump
This is determined as abnormal saltus step.
2. system according to claim 1, it is characterized in that, all in the system and data interaction of dispatch automated system
Completed by the universal data access interface of the system.
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| CN106777313A (en) * | 2016-12-30 | 2017-05-31 | 江苏瑞中数据股份有限公司 | Based on holographic time scale measurement electric network data calculated value and calculated value Component Analysis method |
| CN108229745A (en) * | 2018-01-06 | 2018-06-29 | 浙江涵普电力科技有限公司 | One kind is based on event driven electric network fault Forecasting Methodology |
| CN110417834B (en) * | 2018-04-28 | 2022-08-09 | 中国电力科学研究院有限公司 | Multi-substation data section transmission method and system with time scale measurement |
| CN116316586B (en) * | 2023-03-15 | 2023-10-10 | 国网湖北省电力有限公司随州供电公司 | Method for tracing power jump in power system by adopting jump analysis method |
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