CN104504504A - Power grid data jumping detection and analysis system based on holographic time scale measurement - Google Patents
Power grid data jumping detection and analysis system based on holographic time scale measurement Download PDFInfo
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Abstract
The invention discloses a power grid data jumping detection and analysis system based on holographic time scale measurement in order to realize identification of any measured data jumping condition in a historical time period and accurately carry out recording, counting and analysis. Historical data jumping of a power grid is precisely detected by using measured data such as active power and voltage stored in a time sequence database in an automatic scheduling system through a refined data jumping judgment rule and can be pushed to the front end of an application; furthermore, obtained data jumping information is stored into a relation database of the automatic scheduling system so as to carry out statistical analysis on data jumping and a factory, RTU (remote terminal unit) and the like which are associated to the data jumping, and an assistant monitoring person can efficiently handle with the data jumping problem. According to the power grid data jumping detection and analysis system, the accuracy and the efficiency of data jumping detection are improved, analysis and recounting on the data jumping in any time period are supported, and the application level of power grid data jumping is effectively increased.
Description
Technical field
The present invention relates to a kind of electric network data transition detection and analytic system, belong to dispatching automation of electric power systems technical field.
Background technology
Along with State Grid Corporation of China " runs greatly " propelling of building, the scale of electric power networks is increasing, its structure and operational mode also become increasingly complex, current automation system for the power network dispatching has reached higher level, correlation technique, function can both stable operations, for operation of power networks monitors, to control and the work such as other senior applied analyses provides excellent support.
But in practice, also there are some problems in treatment of details and in running, the such as data reliability problem of dispatch automated system main website end, reliability situation due to system data directly has influence on regulation and control personnel and (comprises alarm event to monitor and analyze to the judgement of grid operating conditions and analysis, state estimation is analyzed, 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 crucial, and how effectively to detect, analyze and then reduce the important process that data jump is then raising system data reliability.Here carried data jump problem do not meet electrical network primary side actual conditions with referring to dispatch automated system main website data short period property, and this kind of problem is normally not high by channel quality, communication parameter configuration is improper or relevant stipulations software programming is bad causes.The traditional method of analyze and solve problems is the more rough data jump result according to counting, expertise is relied on to investigate from factors such as the selections of RTU equipment, channel, messaging parameter, stipulations software, because statistics source is preiodic type data, statistical method comparatively simple (mostly being studying and judging single metric data trend), and the measurement of statistics is more fixing, the efficiency of analysis, precision and dirigibility is caused all to have deficiency.
In these cases, in the urgent need to the high-precision data jump Aulomatizeted Detect of one and statistical analysis technique, can identify the data jump situation of any measurement of historical period, and carry out exactly recording and adding up, and provide certain support for the analysis and solve of jump problem.Through preliminary search, find no the patent entry relevant to content of the present invention temporarily.
Summary of the invention
In order to solve the problem, the invention provides a kind of electric network data transition detection based on holographic time scale measurement and analytic system.
Principle of the present invention is: the metric data such as meritorious, the voltage utilizing time series databases in dispatch automated system to store, adopt the data jump judgment rule become more meticulous, the saltus step of electrical network historical data is detected accurately, and can application front end be pushed to, in addition the data jump information obtained is stored in the relational database of dispatch automated system, carry out statistical study to the plant stand, RTU equipment etc. of data jump and association thereof, auxiliary monitor staff processes data jump problem efficiently.Wherein, time series databases (also known as " real-time data base ") technology makes automation system for the power network dispatching namely store to change from periodically storing to change for the storage mode of grid measurement data, achieve to the holography of electrical network band time scale measurement data sampling with store, the system upper layer application of can thus be provide become more meticulous remote measurement, remote signalling historical data.
The present invention specifically adopts following technical scheme:
Native system comprises service end and client, is all deployed in and produces I district.
Service end is in backstage long-time running, utilize time series databases, the data that gain merit according to load, exchange that line segment end points is gained merit, main transformer is gained merit, busbar voltage etc. measures, in conjunction with business rule, detect identification data saltus step situation in real time, and statistics is write the relational database of dispatch automated system;
The query interface that service end provides data jump to add up;
Client presents in several ways and notifies its real-time, historical data saltus step information paid close attention to of user, provides full and accurate saltus step statistical information inquiry, provides multiple saltus step analysis strategy for analyzing, assisted user is understood fast, disposes or retrieve data saltus step situation.
Further, service end comprises five modules: second development interface processing module, data interaction processing module, transition detection and statistical module, saltus step analysis module and heavy statistical module.Wherein,
Second development interface module in charge accepts, process and feed back client or other third-party application to requests such as the inquiries of data jump situation, heavily statistics, for front end applications provides good access support;
Data interaction processing module is responsible for all access with all kinds of related data of dispatch automated system, tissue and maintenance update, is responsible for the persistence process of statistic analysis result;
Transition detection and statistical module are responsible for parsing to core business judgment rule, detection, statistics, can carry out Technique of Multi-Hierarchy Statistic according to region, transformer station, electric pressure, device type, concrete device name, saltus step type etc.;
Saltus step analysis module is responsible for all kinds of tissue with saltus step relevant information and is associated, and forms analysis result collection for second interface access;
Heavy statistical module is responsible for statistics again, the related statistics renewal of institute etc. to historical data saltus step situation, can solve original situation of leaking statistics.
Further, client comprises as lower module:
1) the real-time display module of saltus step information, is responsible for latest data saltus step information and refreshes and remind display;
2) saltus step information operating module, is responsible for the top set of saltus step information, starts to receive, suspend reception, sequence and retrieval;
3) saltus step enquiry module, the querying conditions such as the responsible RTU equipment according to region, transformer station, electric pressure, device type, concrete device name, saltus step type, association and manufacturer are inquired about;
4) the heavy statistical module of data jump, is responsible for the statistics again to historical data saltus step;
5) saltus step analysis module, 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 is checked, comprises wiring diagram, device parameter information and Plant maintenance plan information etc.
Further, allly in the present invention all to be completed by the universal data access interface of system with the data interaction of dispatch automated system.
By adopting technique scheme, achieve in statistics moment in cycle or external trigger statistics moment, according to specific business rule, the data jump analysis that the holographic voltage metric data of gaining merit metric data and bus to the network load of statistical time range, the holography that exchanges line segment end points and main transformer becomes more meticulous, and detection analysis result is pushed to application front end, stored in database, carry out analysis for monitor staff and check.The present invention can complete detection and the statistics of the saltus step of operation of power networks real time data, arbitrarily historical period data jump in an automated manner, and provides typical saltus step analysis strategy.Utilize the holographic metric data that in dispatch automated system, time series databases stores, improve accuracy and the efficiency of data jump detection, support to analyze the data jump of arbitrary period, again add up, effectively improve the application level of electric network data saltus step.
Accompanying drawing explanation
Fig. 1 is the module interaction figure of present system.
Fig. 2 is electric network active transition detection schematic flow sheet.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
In order to complete become more meticulous detection and the statistical study of electric network data saltus step situation, adopt the dispatch automated system of integrated time series databases, to realize holographic memory and the efficient access of the data such as all remote measurements, remote signalling produced in electrical network real time execution process, these with time target metric data and dispatch automated system in the operation of power networks static parameter, model information, topology information, RTU facility information etc. that have had, be the basis of electric network data transition detection based on time scale measurement and analysis.
In the present invention, a data jump statistical fractals (service end) is devised in the service layer of dispatch automated system, this service has been the core component of data jump examination and analysb, it is also responsible for all interactive operations with relational database, time series databases in dispatch automated system in statistical study process, in addition also forward end interface and other applications provide that data access, statistical information are accessed, the interface such as facility information access and statistical study control;
This service end can provide the multi-angle of data jump situation, multi-level statistics, can carry out saltus step statistics according to the difference of region, transformer station, electric pressure, device type, concrete device name, saltus step type etc.;
Another one part of the present invention is data jump inquiry end (client), complete in real time in service end, on the basis of historical data saltus step details, integrate the information such as the model in dispatch automated system, RTU equipment and manufacturer, there is provided data jump at different levels to add up strategy, realized the data jump analysis of various dimensions by the display mode of the diversification such as trend analysis figure, pie chart, histogram.
This client can provide the analytic function of various dimensions, can carry out Verbose Listing and trend analysis, association RTU equipment and manufacturer's distribution accounting analysis, the analysis of equipment saltus step situation accounting etc. according to data jump general evaluation system result.
This client can also provide the multi-angle of data jump situation, multi-level inquiry, can inquire about according to the difference of the RTU equipment of region, transformer station, electric pressure, device type, concrete device name, saltus step type, association and manufacturer etc.
Present system carries out integrated to relevant dispatching system, can navigate to the wiring diagram of dispatch automated system, also can navigate to OMS presentation device parameter information, Plant maintenance plan information according to the equipment that data jump occurs.
During application present system, need the integrated time series data of dispatch automated system to realize storing the data holographic such as remote measurement, remote signalling of operation of power networks.Service end of the present invention and client are all deployed in produces I district, the interworking architecture of present system modules as shown in Figure 1, triggered by client or service end in real time/clocked flip carries out data jump when detecting, form transition detection that a new task enters service end and analyze queue, the transition detection of service end obtains corresponding task to statistical module, saltus step analysis module and heavy statistical module and performs, partial results enters in the result cache of service end, and other results are by the write of data interaction processing modules implement to database environment.The acquisition of Interface realization saltus step information, statistical information, analytical information etc. that each functional module of client is all provided by service end.
Fig. 2 have chosen the testing process of electric network active saltus step, when starting once the meritorious data jump measured and detecting, first judge whether its numerical value has crossed the threshold value detected, if crossed, then be divided into drift saltus step and abnormal saltus step two kinds of testing processes, otherwise this transition detection directly terminates.The meritorious data jump exchanging some section end points is judged, needs the data variation trend calculating its opposite end, be just determined further when trend is consistent.By this flow process, the detection of meritorious data jump can be completed more all sidedly.
The business rule that the present invention carries out data jump detection is as follows:
1, meritorious metric data saltus step:
Load, exchange the value P of meritorious measurement in the T moment of line segment end points and main transformer
texceed presetting threshold value P
0, namely | P
t| >|P
0|, then think and possibly saltus step occurs, start to measure deployment analysis for this, criterion is as follows:
1) drift saltus step: if this measures and has work value P at next moment T '
t 'reduce to 0 or drift, and the running status of t (as 20 seconds) equipment does not become " out of service " in the certain hour section of T ' front and back, then think that this measurement there occurs meritorious saltus step in the T ' moment;
2) abnormal saltus step: if this measures and has work value P at next moment T '
t 'do not reduce to 0 or drift, but P
tthan each moment T in certain hour section t (as 20 seconds) before " have work value P
t "change all exceedes certain ratio (as 20%), and in the front and back certain hour section t in T moment, the running status of (as 20 seconds) equipment does not become " out of service ", then think that this measurement T moment there occurs meritorious saltus step.
Wherein, for the meritorious saltus step exchanging line segment end points, need its opposite end under identical rule, when variation tendency is consistent with local terminal trend, just can assert this measurement generation saltus step.
2, voltage measures data jump:
The voltage of bus measures the value U in the T moment
texceed presetting reference voltage value U
0certain ratio (as 2%), namely | U
t-U
0|/U
0>2%, then think and possibly voltage jump occur, and starts to measure deployment analysis for this, and criterion is as follows:
Abnormal saltus step: if U
tthan each moment T in certain hour section t before the T moment (as 20 seconds) " magnitude of voltage U
t "change all exceedes certain ratio (as 2%), and in the front and back certain hour section t in T moment, the running status of (as 20 seconds) equipment does not become " out of service ", then think that this measurement T moment there occurs voltage jump.
The invention is not restricted to above-described embodiment, all technical schemes adopting equivalent replacement or equivalence replacement to be formed all belong to the scope of protection of present invention.
Claims (4)
1. the electric network data transition detection based on holographic time scale measurement and analytic system, it is characterized in that, comprise service end and client, described service end is in backstage long-time running, be responsible for utilizing time series databases to obtain in real time or the metric data of arbitrary period, detect identification data saltus step situation in real time, and statistics is write the relational database of dispatch automated system, and the query interface providing data jump to add up;
Described client is responsible for presenting and is notified its real-time, historical data saltus step information paid close attention to of user, provides saltus step statistical information to inquire about and saltus step analysis strategy, assisted user is understood fast, disposes or retrieve data saltus step situation.
2. system according to claim 1, is characterized in that, described service end comprises: second development interface processing module, data interaction processing module, transition detection and statistical module, saltus step analysis module and heavy statistical module, wherein:
Described second development interface processing module is responsible for receiving, process and feed back described client or other third-party application to the inquiry of data jump situation, heavily add up request, for front end applications provides access support;
Described data interaction processing module is responsible for all access with all kinds of related data of dispatch automated system, tissue and maintenance update, is responsible for the persistence process of statistic analysis result;
Described transition detection and statistical module are responsible for parsing to core business judgment rule, detection, statistics, carry out Technique of Multi-Hierarchy Statistic according to region, transformer station, electric pressure, device type, concrete device name, saltus step type;
Described saltus step analysis module is responsible for all kinds of tissue with saltus step relevant information and is associated, and forms analysis result collection for second interface access;
Described heavy statistical module is responsible for statistics again to historical data saltus step situation, the related statistics of institute upgrades.
3. system according to claim 1 and 2, is characterized in that, described client comprises as lower module:
The real-time display module of saltus step information, is responsible for latest data saltus step information and refreshes and remind display;
Saltus step information operating module, is responsible for the top set of saltus step information, starts to receive, suspend reception, sequence and retrieval;
Saltus step enquiry module, the responsible RTU equipment according to region, transformer station, electric pressure, device type, concrete device name, saltus step type, association and manufacturer's querying condition are inquired about;
The heavy statistical module of data jump, is responsible for the statistics again to historical data saltus step;
Saltus step analysis module, is responsible for saltus step analysis of statistical results, trend analysis, device distribution analysis, association RTU equipment and manufacturer's distributional analysis;
Association analysis module, responsible related information is checked, comprises wiring diagram, device parameter information and Plant maintenance plan information.
4. system according to claim 3, is characterized in that, allly in native system is all completed by the universal data access interface of native system with the data interaction of dispatch automated system.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN110417834A (en) * | 2018-04-28 | 2019-11-05 | 中国电力科学研究院有限公司 | A kind of multi-Substation band time scale measurement data section transmission method and system |
| CN116316586A (en) * | 2023-03-15 | 2023-06-23 | 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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| CN103325019A (en) * | 2013-07-08 | 2013-09-25 | 国家电网公司 | Event-driven power grid fault information judgment method |
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| CN103325019A (en) * | 2013-07-08 | 2013-09-25 | 国家电网公司 | Event-driven power grid fault information judgment method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN110417834A (en) * | 2018-04-28 | 2019-11-05 | 中国电力科学研究院有限公司 | A kind of multi-Substation band time scale measurement data section transmission method and system |
| 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 |
| CN116316586A (en) * | 2023-03-15 | 2023-06-23 | 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 |
| 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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