CN105046344A - Primary station data quality optimizing method for intelligent power grid dispatching technical support system - Google Patents
Primary station data quality optimizing method for intelligent power grid dispatching technical support system Download PDFInfo
- Publication number
- CN105046344A CN105046344A CN201510250945.3A CN201510250945A CN105046344A CN 105046344 A CN105046344 A CN 105046344A CN 201510250945 A CN201510250945 A CN 201510250945A CN 105046344 A CN105046344 A CN 105046344A
- Authority
- CN
- China
- Prior art keywords
- data
- cim
- file
- data point
- main website
- 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.)
- Granted
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a primary station data quality optimizing method for an intelligent power grid dispatching technical support system. The method comprises the following steps that a primary station acquires transformer station data from multiple communication channels, selects a current data source according to a set priority and generates data point CIM/E files of the current data source; a transformer station generates data point CIM/E files periodically and sends the files to the primary station through an independent communication channel; the data point CIM/E files of the primary station and the data point CIM/E files of the transformer station are compared for verification; when the verification result is normal, normal data are displayed on a dispatching frame of the primary station; otherwise, data sources acquired from multiple communication channels are retrieved; a next data source with a relatively low priority is acquired to serve as the current data source; data point CIM/E files of the current data source are generated; and comparison for verification according to the above-mentioned step is further performed until the verification result is normal. The method which can prevent data inconsistency between the primary station and the transformer station effectively improves the primary station data quality of the intelligent power grid dispatching technical support system.
Description
Technical field
The present invention relates to a kind of main website quality of data optimization method, particularly relate to a kind of main website quality of data optimization method of smart grid-oriented supporting system technology, belong to electric power system dispatching technical field.
Background technology
In recent years, along with the lifting to operation of power networks quality requirements, electric system increases the examination to main website state estimation qualification rate, inherently has higher requirement to the quality of data of main website exactly.The data quality problem of main website is mainly manifested in following two aspects:
First is that the quality of data of transformer substation end is not high.For this situation, the people such as Huang Hui have elaborated in paper " Analysis on development of intelligent grid data quality control and prospect " (being published in " scientific and technical information " the 7th phase 92-93 page in 2012), do not repeat them here.
Second is that main website and transformer substation end communications mistake cause the quality of data not high.Along with developing rapidly of electric system, the data grows stored in intelligent grid supporting system technology is many, contains the information interaction of Various types of data.And transformer station is as the important component part of electric power transfer, information acquisition, for main website provides various types of data, it is comprehensive, integrality is the Information base realizing intelligent grid.But the quality of data of existing transformer substation end is not high, is difficult to other application and accurate and effective, reliable data are provided.
Trace it to its cause, mainly comprise following several:
(1) intelligent grid supporting system technology data scale is huge, and the artificial nucleus that generally adopts now is unreliable to the mode of data point table, easily occurs error;
(2) current, the data point table in intelligent grid supporting system technology needed for intercommunication needs artificial generation, when main website or transformer station independently safeguard a table, may occur that between main website and transformer station, data syn-chronization not in time;
(3) for ensureing the data integrity of intelligent grid supporting system technology, between transformer station and main website, often adopting the mode of multi-data source channel acquisition to ensure, Various types of data is sent on uninterrupted.But the current source data that main website multi-source collection filters out is not necessarily the most reliable, data SCADA system and other application will do not sent to the most accurately;
(4) main website and transformer station adopt communication protocol mode to carry out data information transfer, if abnormal conditions appear in communication protocol, main website can be caused equally correctly can not to reflect the practical operation situation of field apparatus, and then affect correctness and the consistance of data.
At present, do not propose effective solution in prior art, the problems referred to above occurred in main website and substation data transmitting procedure are analyzed, solved, thus improve the overall quality of data, promote state estimation qualification rate, for other application provide accurate and effective, reliable data.
Summary of the invention
For the deficiencies in the prior art, technical matters to be solved by this invention is the main website quality of data optimization method providing a kind of smart grid-oriented supporting system technology.
For achieving the above object, the present invention adopts following technical scheme:
A main website quality of data optimization method for smart grid-oriented supporting system technology, comprises the steps:
Main website gathers substation data from multiple communication channel, obtains multiple data source, and the priority according to setting selects current data source, generates the data point CIM/E file in current data source;
Transformer station regularly generates data point CIM/E file, sends to main website from independently communication channel;
The data point CIM/E file of main website and the data point CIM/E file of transformer station to be compared verification, when check results is normal, normal data is presented on the scheduling picture of main website;
Otherwise, transfer the data source that multiple communication channel gathers, obtain the data source of next lower priority as current data source, generate the data point CIM/E file in current data source, to compare verification by above-mentioned steps, until check results is normal.
Wherein more preferably, described check results is that normally to comprise the data point CIM/E file of main website consistent with the data point CIM/E file that transformer station regularly generates, and the deviation that the data point CIM/E file that regularly generates of the data point CIM/E file of main website and transformer station produces is in the threshold value set.
Wherein more preferably, before verification compared by the data point CIM/E file of main website and the data point CIM/E file of transformer station, verification is checked to the data point CIM/E file of main website;
Described check verification comprise data correctness verification, data extrapolating School Affairs data correlation verification.
Wherein more preferably, whether the verification of described data correctness meets CIM/E standard to described data point CIM/E file and verifies;
Whether described data extrapolating verification meets systematic analysis to the parameter attribute that packet in described data point CIM/E file contains controls to verify;
Whether described data correlation verification rationally verifies the incidence relation comprised in described data point CIM/E file.
Wherein more preferably, described verification of the data point CIM/E file of main website and the data point CIM/E file of transformer station being compared comprises the steps:
Main website obtains the data with the substation data point CIM/E file self needing the data point CIM/E file synchronization verified, and compares and obtains horizontal comparison result;
The horizontal threshold value of horizontal comparison result and setting is compared, obtains horizontal check result;
Main website obtains the data needing the substation data point CIM/E file on the data point CIM/E file multiple dates in the same time verified with a certain moment self, compares and obtains longitudinal comparison result;
Longitudinal threshold value of longitudinal comparison result and setting is compared, obtains longitudinal check result;
When horizontal check result and longitudinal check result all judge the data point CIM/E file of main website as normal data, normal data is presented on the scheduling picture of main website.
Wherein more preferably, the data point CIM/E file of main website and the data point CIM/E file of transformer station are compared verification time, data point CIM/E file is divided into remote measurement class data point CIM/E file, remote signalling class data point CIM/E file and remote control class data point CIM/E file; And different forms is set for the data point CIM/E file of every type.
Wherein more preferably, described horizontal threshold value comprises horizontal max-thresholds and horizontal minimum threshold;
Described longitudinal threshold value comprises longitudinal max-thresholds and longitudinal minimum threshold.
Wherein more preferably, the main website quality of data optimization method of described smart grid-oriented supporting system technology also comprises the steps:
When all data source deviations all exceed the threshold value of setting, then data point CIM/E file transformer station transmitted is override data point, abnormality alarming is sent to management and running personnel simultaneously.
Wherein more preferably, described main website carries out the collection of data source from multiple communication channel by the communication protocol of Ethernet;
The data point CIM/E file regularly generated is sent to main website by the communication protocol of Ethernet from independently communication channel by described transformer station.
The main website quality of data optimization method of smart grid-oriented supporting system technology provided by the present invention, for the main website of intelligent grid supporting system technology and the data quality problem such as substation section data are inconsistent, on the basis analyzing the existing intelligent grid supporting system technology quality of data, by the means using the multi-source data screening improved to obtain optimum quality data, and adopt CIM/E text to be data check technology between the different system of carrier, the data point CIM/E file that data point CIM/E file and the transformer station of main website regularly generate is carried out contrast verify, reduce main website and the inconsistent situation of substation section data to greatest extent, effectively promote the quality of data of intelligent grid supporting system technology main website, thus ensure intelligent grid supporting system technology safety, reliably run.
Accompanying drawing explanation
Fig. 1 is the general frame schematic diagram of main website provided by the present invention quality of data optimization method;
Fig. 2 is the process flow diagram of main website provided by the present invention quality of data optimization method;
Fig. 3 is in main website provided by the present invention quality of data optimization method, the data point CIM/E file of main website and the data point CIM/E file of transformer station compare verification process flow diagram.
Embodiment
Below in conjunction with the drawings and specific embodiments, technology contents of the present invention is described in further detail.
Main website provided by the present invention quality of data optimization method, based on existing intelligent grid supporting system technology, realizes the quality of data optimization of intelligent grid supporting system technology.Wherein, the design that existing intelligent grid supporting system technology is this quality of data prioritization scheme provides following precondition:
(1) data information transfer between main website and transformer station uses high efficiency Ethernet, ensure that the ageing of data;
(2) multi-source data collection, ensure that the integrality of overall data, for comparing verification provides stable source;
(3) a kind of electrical network universal model Description standard CIM/E text based on common information model (commoninformationmodel, CIM) is used, as the carrier that main website and substation information exchange, simultaneously also as the content of verification of data;
(4) main website opens the service for comparing, the data point CIM/E file that the transmission of wait-receiving mode transformer station comes;
(5) specific data information is generated the function of data point CIM/E file by main website support;
(6) transformer station supports function specific data information being generated data point CIM/E file.
The function basis that existing intelligent grid supporting system technology provides is carried out the optimization of the intelligent grid supporting system technology quality of data, effectively can solve correctness and the consistency problem of intelligent grid supporting system technology data.
The present invention is by research intelligent grid supporting system technology abnormal data statistics method of calibration, based on the comparing technology of CIM/E and the multi-source data optimization technique of improvement, propose to be applicable to the method for carrying out teledata comparison between main website and transformer station, in reliability, efficiency, ease for use etc., improve the correctness of overall data, consistance and power network schedule automation degree.
In embodiment provided by the present invention, the optimization of the intelligent grid supporting system technology quality of data is divided into main website and transformer station two levels from longitudinal direction, communication protocol by Ethernet between two cover systems communicates, and the data realized between system are transmitted with synchronous.From be transversely divided into multi-source data collection preferably with data point CIM/E file Inspection two functions, be respectively quality of data optimization and Data Source and method of calibration be provided.Wherein, the intelligent grid supporting system technology quality of data optimizes general frame as shown in Figure 1.Be main website in the dotted line frame of Fig. 1 middle and upper part, be transformer substation system in lower dotted line frame, the directed line segment flowed to representative data describes the processing procedure of the main website quality of data optimization method of smart grid-oriented supporting system technology from vertical and horizontal two aspects.
As shown in Figure 2, the main website quality of data optimization method of smart grid-oriented supporting system technology provided by the present invention, comprise the steps: first, substation data is come up from multiple communication channel collection by communication protocol by the front-collection end of main website, select current data source according to the priority automatically obtained or manually specify, generate the data point CIM/E file in current data source; Meanwhile, transformer station regularly generates data point CIM/E file, sends to main website by communication protocol from independently ethernet communication channel; Secondly, verification that the data point CIM/E file of main website and the data point CIM/E file of transformer station are compared, and result feedback will be verified to main website; Normal or the data of deviation in setting threshold value are directly presented on the scheduling picture of main website, and the adjustable same data of taking off a lower priority source of abnormal data that deviation exceedes threshold value carry out Inspection again; Proceed Inspection by that analogy, final realization scheduling picture data and field data are consistent.Detailed specific description is done to this process below.
S1, substation data is come up from multiple communication channel collection by communication protocol by the front-collection end of main website, obtains multiple data source, selects current data source, generate the data point CIM/E file in current data source according to the priority automatically obtained or manually specify.
Traditional intelligent grid supporting system technology uses multi-source data acquisition technique, ensures that substation data is supplied to main website incessantly.In multi-source data acquisition technique, can have multiple Data Source for data, each data source takies independently communication port.Ideally, have identical data directory between multiple data source, namely each data source provides identical data, services, each other standby.Each data source is divided into different priority according to the degree of stability of communication port by user.When multiple data source Simultaneous Stabilization runs, wherein only have a data source that data can be provided to SCADA system or other application, be called current data source, and non-current source can not provide data to SCADA system or other application.If break down in current data source, then system can choose in the middle of other available data sources priority the highest as new current data source.
But also there is certain problem in traditional multi-source data acquisition technique, because the override data source of automatically distributing or manually specify might not be the most accurately, when the abnormal conditions of non-switching data source class appear in the communication channel that current data source uses, the generation of abnormal data may be caused.If deliver to SCADA system by abnormal data, the correctness of data will certainly be affected.Thus in embodiment provided by the present invention, employ the multi-source data optimization technique of improvement, by the file of the data genaration CIM/E form in current data source, to be compared by the data point CIM/E file that other independent communication passages are uploaded with transformer station and verify, and comparison result is fed back to main website.If the same data deviation that current data source data and transformer station send exceedes setting threshold value, these data then choosing next priority data source proceed Inspection, until select reasonable data to send SCADA system and related application to as override data point.If institute's active data deviation all exceedes setting threshold value, then specify the data that transformer station transmits to be that override data point sends SCADA system and related application to, send abnormality alarming prompting management and running personnel simultaneously.
S2, transformer station regularly generates data point CIM/E file, sends to main website by communication protocol from independently ethernet communication channel.
S3, verification that the data point CIM/E file of main website and the data point CIM/E file of transformer station are compared, and result feedback will be verified to main website; when check results be normal or deviation when setting in threshold value; normal data is presented on the scheduling picture of main website, otherwise, turn to step S4.
Transformer station regularly forms data point CIM/E file according to on-the-spot real data, sends to far-end main website by communication protocol from independently ethernet communication channel, to compare verification as the source of main website data check and main website data point CIM/E file.Before verification compared by the data point CIM/E file of main website and the data point CIM/E file of transformer station, according to the data check function that main website provides, verification is checked to the data point CIM/E file of main website.
The verification of data technology that power industry uses, usually by processing the systematicness verification of data, and wherein adopts electric network data must meet the mode of electric system primitive rule based on the verification of data technology of CIM/E.By using the basic rule produced by CIM/E standard, comparison filters out the data varied from a rule and is decided to be abnormal data, thus reaches the object of data check.In embodiment provided by the present invention, according to the data check function that main website provides, verification is checked to the data point CIM/E file of main website and comprises following content:
(1) data correctness verification
The correctness verification of data refers to whether inspection CIM/E data (data point CIM/E file) meets the requirement of CIM/E standard, comprises the verification of device parameter common-sense, the verification of device coding uniqueness, the verification of device data value correctness, the verification of CIM/E grammer accuracy, the verification of CIM/E semantic accuracy etc.
(2) data extrapolating verification
The completeness verification of data refers to whether the parameter attribute checking CIM/E data to comprise meets the needs of systematic analysis control, comprises the verification of device attribute completeness, the verification of device type completeness, the verification of record completeness etc.
(3) data correlation verification
The relevance verification of data refers in inspection CIM/E data, whether rationally some important incidence relations, comprises the verification of affiliated partner type correctness, bi-directional association consistency desired result, equipment associate consistency desired result etc. with container.
The data point CIM/E file of main website and the data point CIM/E file of transformer station are compared, and verification is main adopts abnormal data statistics checking procedure.The verification of abnormal data statistics refers to and assumes a distributed model to institute's data-oriented set (set of a certain generic attribute value in such as operation of power networks), then adopt inconsistency verification according to the model of supposition, judge whether to exist the abnormal data departing from normal range.The intelligent grid supporting system technology of real time execution requires high due to data correctness, system stability, real-time etc., and therefore the verification of abnormal data statistics plays a part indispensable.The abnormal data statistics method of calibration often used in intelligent grid supporting system technology has three kinds, specific as follows:
(1) threshold value diagnostic method
All kinds of service datas of intelligent grid supporting system technology have the fluctuation range of respective rule, in section sometime, with reference to its fluctuation range respectively to these data setting max-thresholds and minimum threshold, then screen each data in interval, the data being greater than max-thresholds and being less than minimum threshold can be judged as abnormal data and process.Most abnormal data can screen by threshold value diagnostic method, is applied to the verification of the data such as generating, load of province's net level or districts and cities more.
(2) across comparison method
All kinds of service datas of intelligent grid supporting system technology are come up by separate sources collection, when after setting deviation threshold, by the data value in its a certain moment, can compare with other synchronization data value gathered of originating.If the data value deviation in two sources is greater than setting threshold value, then think wherein there is abnormal data, after needing screening, also carry out alarm in systems in which.
(3) longitudinal pairing comparision
The data value of all kinds of service data at different time can be recorded by intelligent grid supporting system technology, when after setting deviation threshold, can by the data value in its a certain moment, respectively with appointed day before mutually data value in the same time compare, if deviation is greater than setting threshold value, then think wherein there is abnormal data, after needing screening, also carry out alarm in systems in which.
When the data point CIM/E file that transformer station will regularly be formed, after sending to main website by communication channel, to compare verification as the source of main website data check and main website data point CIM/E file, as shown in Figure 3, specifically comprise the steps:
S31, main website obtains the data with the substation data point CIM/E file self needing the data point CIM/E file synchronization verified, and compares and obtains horizontal comparison result A;
After main website generates the data point CIM/E file in current data source, the data point CIM/E file of verification is needed according to self, obtain the data of synchronization substation data point CIM/E file, the data of synchronization in main website data point CIM/E file and substation data point CIM/E file are compared, obtains horizontal comparison result A.
S32, compares the horizontal max-thresholds of horizontal comparison result A and setting and horizontal minimum threshold, obtains horizontal check result.
All kinds of service datas of intelligent grid supporting system technology have the fluctuation range of respective rule, in section sometime, with reference to its fluctuation range respectively to the horizontal max-thresholds of these data settings and horizontal minimum threshold.After obtaining horizontal comparison result A, the horizontal max-thresholds of horizontal comparison result A and setting and horizontal minimum threshold are compared, if horizontal comparison result A is greater than horizontal max-thresholds or is less than horizontal minimum threshold, then horizontal check result is: main website needs the data point CIM/E file of verification to be abnormal data; If horizontal comparison result A is between horizontal minimum threshold and horizontal max-thresholds, then horizontal check result is: main website needs the data point CIM/E file of verification to be normal data.
S33, main website obtains the data needing the substation data point CIM/E file on the data point CIM/E file multiple dates in the same time verified with a certain moment self, compares and obtains longitudinal comparison result B;
The data value of all kinds of service data at different time can be recorded by intelligent grid supporting system technology, after main website generates the data point CIM/E file in current data source, the data point CIM/E file of verification is needed according to a certain moment self, the data of appointed day phase substation data point CIM/E file in the same time before acquisition, by in the data verified required for the main website a certain moment and multiple date mutually substation data point CIM/E file in the same time compare, obtain longitudinal comparison result B.
S34, compares longitudinal max-thresholds of longitudinal comparison result B and setting and longitudinal minimum threshold, obtains longitudinal check result.
All kinds of service datas of intelligent grid supporting system technology have respective trend, within certain a period of time, all kinds of service datas of synchronization also have respective trend, with reference to its historical data respectively to the longitudinal max-thresholds of these data settings and longitudinal minimum threshold.After obtaining longitudinal comparison result B, longitudinal max-thresholds of longitudinal comparison result B and setting and longitudinal minimum threshold are compared, if longitudinal comparison result B is greater than longitudinal max-thresholds or is less than longitudinal minimum threshold, then longitudinal check result is: the main website a certain moment needs the data point CIM/E file of verification to be abnormal data; If longitudinal comparison result B is between longitudinal minimum threshold and longitudinal max-thresholds, then longitudinal comparison result is: the main website a certain moment needs the data point CIM/E file of verification to be normal data.
S35, obtains horizontal check result and longitudinal check result, when horizontal check result and longitudinal check result all judge the data point CIM/E file of main website as normal data, normal data is presented on the scheduling picture of main website.
In the main website quality of data optimization method of smart grid-oriented supporting system technology provided by the present invention, main website opens up the data point CIM/E file service receiving transformer station and transmit, dynamic realtime trigger data Inspection function, compares the data point CIM/E file of main website and the data point CIM/E file of transformer station and verifies.Wherein, data check is divided into three kinds in data type, and be respectively telemetry verification, the verification of remote signalling data School Affairs remote-control data, three class data adopt the data point CIM/E file of three kinds of different-formats to carry out record respectively.It is below the detailed description of the data point CIM/E file to three types.
(1) data check of remote measurement class data point CIM/E file
Remote measurement class (Analog) data, based on analog quantity, need while providing the information such as data model information and data value, to define remote measurement threshold value, as the foundation of verification.The definition of remote measurement class data point CIM/E file concrete form is as shown in table 1:
Table 1 remote measurement class data point CIM/E file layout definition list
(2) data check of remote signalling class data point CIM/E file
Remote signalling class (Point) data, based on switching value, need to provide the information such as data model information and folding condition.The definition of remote signalling class data point CIM/E file concrete form is as shown in table 2:
Table 2 remote signalling class data point CIM/E file layout definition list
(3) data check of remote control class data point CIM/E file
Remote control class (DistantControl) data, based on switching value, need to provide the information such as data model information and disconnecting link state.The definition of remote control class data point CIM/E file concrete form is as shown in table 3:
Table 3 remote control class data point CIM/E file layout definition list
S4, transfer the data source that multiple communication channel gathers, obtain the data source of next lower priority as current data source, generate the data point CIM/E file in current data source, repeat step S2-S3, proceed Inspection by that analogy, until the data point CIM/E file of main website is consistent with the data point CIM/E file that transformer station regularly generates, final realization scheduling picture data and field data are consistent.
When the deviation of check results is not when setting in threshold value, transfer the data source that multiple communication channel gathers, obtain the data source of next lower priority as current data source, generate the data point CIM/E file in current data source, repeat step S2-S3, the data point CIM/E file that data point CIM/E file and the transformer station of main website regularly generate is contrasted, by that analogy, until the data point CIM/E file of main website is consistent with the data point CIM/E file that transformer station regularly generates, final realization scheduling picture data and field data are consistent, improve the overall data quality of intelligent grid supporting system technology.
If institute's active data deviation of multiple communication channel collection all exceedes setting threshold value, then specify the data that transformer station transmits to be that override data point sends SCADA system and related application to, send abnormality alarming prompting management and running personnel simultaneously.
In sum, the main website quality of data optimization method of smart grid-oriented supporting system technology provided by the present invention, for main website and the data quality problem such as substation section data are inconsistent, on the basis analyzing the existing intelligent grid supporting system technology quality of data, by the means using the multi-source data screening improved to obtain optimum quality data, and adopt CIM/E text to be data check technology between the different system of carrier, the data point CIM/E file that data point CIM/E file and the transformer station of main website regularly generate is carried out contrast verify, reduce main website and the inconsistent situation of substation section data to greatest extent, improve the overall data quality of intelligent grid supporting system technology.
The data quality problems such as the main website (main station system) that the present invention is directed to intelligent grid supporting system technology and substation section data are inconsistent, on the basis analyzing the existing intelligent grid supporting system technology quality of data, provide a kind of main website quality of data optimization method of smart grid-oriented supporting system technology.The means of the method by using the multi-source data screening improved to obtain optimum quality data, and adopt CIM/E text to be data check technology between the different system of carrier, improve the overall data quality of intelligent grid supporting system technology.It is manually long-range to point mode that contrast uses in the past, new quality of data optimization method not only achieves the full automation of verification of data, and save the maintenance time of intelligent grid supporting system technology main website, reduce main website and the inconsistent situation of substation section data to greatest extent simultaneously, make before intelligent grid supporting system technology overall data quality is obviously better than.Through facts have proved, main website provided by the invention quality of data optimization method can promote the quality of data of intelligent grid supporting system technology main website effectively, thus ensures intelligent grid supporting system technology safety, reliably runs.
Above the main website quality of data optimization method of smart grid-oriented supporting system technology provided by the present invention is described in detail.For one of ordinary skill in the art, to any apparent change that it does under the prerequisite not deviating from connotation of the present invention, all by formation to infringement of patent right of the present invention, corresponding legal liabilities will be born.
Claims (9)
1. a main website quality of data optimization method for smart grid-oriented supporting system technology, is characterized in that comprising the steps:
Main website gathers substation data from multiple communication channel, obtains multiple data source, and the priority according to setting selects current data source, generates the data point CIM/E file in current data source;
Transformer station regularly generates data point CIM/E file, sends to main website from independently communication channel;
The data point CIM/E file of main website and the data point CIM/E file of transformer station to be compared verification, when check results is normal, normal data is presented on the scheduling picture of main website;
Otherwise, transfer the data source that multiple communication channel gathers, obtain the data source of next lower priority as current data source, generate the data point CIM/E file in current data source, to compare verification by above-mentioned steps, until check results is normal.
2. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 1, is characterized in that:
Described check results is that normally to comprise the data point CIM/E file of main website consistent with the data point CIM/E file that transformer station regularly generates, and the deviation that the data point CIM/E file that regularly generates of the data point CIM/E file of main website and transformer station produces is in the threshold value set.
3. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 1, is characterized in that:
Before verification compared by the data point CIM/E file of main website and the data point CIM/E file of transformer station, verification is checked to the data point CIM/E file of main website;
Described check verification comprise data correctness verification, data extrapolating School Affairs data correlation verification.
4. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 3, is characterized in that:
Whether described data correctness verification meets CIM/E standard to described data point CIM/E file verifies;
Whether described data extrapolating verification meets systematic analysis to the parameter attribute that packet in described data point CIM/E file contains controls to verify;
Whether described data correlation verification rationally verifies the incidence relation comprised in described data point CIM/E file.
5. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 1, is characterized in that described verification of the data point CIM/E file of main website and the data point CIM/E file of transformer station being compared comprises the steps:
Main website obtains the data with the substation data point CIM/E file self needing the data point CIM/E file synchronization verified, and compares and obtains horizontal comparison result;
The horizontal threshold value of horizontal comparison result and setting is compared, obtains horizontal check result;
Main website obtains the data needing the substation data point CIM/E file on the data point CIM/E file multiple dates in the same time verified with a certain moment self, compares and obtains longitudinal comparison result;
Longitudinal threshold value of longitudinal comparison result and setting is compared, obtains longitudinal check result;
When horizontal check result and longitudinal check result all judge the data point CIM/E file of main website as normal data, normal data is presented on the scheduling picture of main website.
6. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 5, is characterized in that:
The data point CIM/E file of main website and the data point CIM/E file of transformer station are compared verification time, data point CIM/E file is divided into remote measurement class data point CIM/E file, remote signalling class data point CIM/E file and remote control class data point CIM/E file; And different forms is set for the data point CIM/E file of every type.
7. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 5, is characterized in that:
Described horizontal threshold value comprises horizontal max-thresholds and horizontal minimum threshold;
Described longitudinal threshold value comprises longitudinal max-thresholds and longitudinal minimum threshold.
8. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 1, characterized by further comprising following steps:
When all data source deviations all exceed the threshold value of setting, then data point CIM/E file transformer station transmitted is override data point, abnormality alarming is sent to management and running personnel simultaneously.
9. the main website quality of data optimization method of smart grid-oriented supporting system technology as claimed in claim 1, is characterized in that:
Described main website carries out the collection of data source from multiple communication channel by the communication protocol of Ethernet;
The data point CIM/E file regularly generated is sent to main website by the communication protocol of Ethernet from independently communication channel by described transformer station.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510250945.3A CN105046344B (en) | 2015-05-15 | 2015-05-15 | Master station data quality optimization method for support system of intelligent power grid scheduling technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510250945.3A CN105046344B (en) | 2015-05-15 | 2015-05-15 | Master station data quality optimization method for support system of intelligent power grid scheduling technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105046344A true CN105046344A (en) | 2015-11-11 |
| CN105046344B CN105046344B (en) | 2020-02-18 |
Family
ID=54452871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510250945.3A Expired - Fee Related CN105046344B (en) | 2015-05-15 | 2015-05-15 | Master station data quality optimization method for support system of intelligent power grid scheduling technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105046344B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106532931A (en) * | 2016-10-09 | 2017-03-22 | 南京南瑞继保电气有限公司 | Intelligent batch point-to-point method for power system dispatching master and slave stations |
| CN109063107A (en) * | 2018-07-27 | 2018-12-21 | 中国大唐集团新能源科学技术研究院有限公司 | A kind of multi-source data acquisition method |
| CN109525443A (en) * | 2018-12-29 | 2019-03-26 | 广州供电局有限公司 | Processing method, device and the computer equipment of distributed front-collection communication link |
| CN109712386A (en) * | 2018-12-06 | 2019-05-03 | 中国南方电网有限责任公司 | A kind of Distributed Modeling System metric data method of calibration based on E format |
| CN112200485A (en) * | 2020-10-27 | 2021-01-08 | 国电南瑞科技股份有限公司 | Power dispatching real-time data quality improving method based on multi-source arbitration |
| CN112861499A (en) * | 2020-12-02 | 2021-05-28 | 国网浙江省电力有限公司台州供电公司 | Multi-source data statistical method for power grid dispatching and power market application |
| CN113810492A (en) * | 2021-09-16 | 2021-12-17 | 南方电网数字电网研究院有限公司 | Data point table generation method and device based on intelligent gateway and computer equipment |
| CN116186017A (en) * | 2023-04-25 | 2023-05-30 | 蓝色火焰科技成都有限公司 | Big data collaborative supervision method and platform |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710735A (en) * | 2009-12-11 | 2010-05-19 | 江西省电力科学研究院 | Sharing modeling method of intelligent substation and primary station |
| CN102621944A (en) * | 2012-02-23 | 2012-08-01 | 江苏省电力公司泰州供电公司 | Automatic checkout system for transformer substation remote signaling function |
| CN103632223A (en) * | 2013-11-26 | 2014-03-12 | 国家电网公司 | Regional power grid intelligent scheduling early warning system |
| CN103699555A (en) * | 2013-07-03 | 2014-04-02 | 国电南瑞科技股份有限公司 | Multisource data real-time database data generation method applicable to scheduling and transformer substation integrated system |
| CN104299065A (en) * | 2014-07-30 | 2015-01-21 | 国家电网公司 | Dispatching automation host and backup model correctness checking method |
-
2015
- 2015-05-15 CN CN201510250945.3A patent/CN105046344B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710735A (en) * | 2009-12-11 | 2010-05-19 | 江西省电力科学研究院 | Sharing modeling method of intelligent substation and primary station |
| CN102621944A (en) * | 2012-02-23 | 2012-08-01 | 江苏省电力公司泰州供电公司 | Automatic checkout system for transformer substation remote signaling function |
| CN103699555A (en) * | 2013-07-03 | 2014-04-02 | 国电南瑞科技股份有限公司 | Multisource data real-time database data generation method applicable to scheduling and transformer substation integrated system |
| CN103632223A (en) * | 2013-11-26 | 2014-03-12 | 国家电网公司 | Regional power grid intelligent scheduling early warning system |
| CN104299065A (en) * | 2014-07-30 | 2015-01-21 | 国家电网公司 | Dispatching automation host and backup model correctness checking method |
Non-Patent Citations (2)
| Title |
|---|
| 张亮: "电力调度数据中心数据质量问题研究", 《华东电力》 * |
| 雷霆等: "基于数据平台的调度数据质量辨识方法", 《电力系统自动化》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106532931A (en) * | 2016-10-09 | 2017-03-22 | 南京南瑞继保电气有限公司 | Intelligent batch point-to-point method for power system dispatching master and slave stations |
| CN106532931B (en) * | 2016-10-09 | 2019-04-19 | 南京南瑞继保电气有限公司 | A kind of electric power system dispatching boss station intelligent batch is to point methods |
| CN109063107A (en) * | 2018-07-27 | 2018-12-21 | 中国大唐集团新能源科学技术研究院有限公司 | A kind of multi-source data acquisition method |
| CN109712386A (en) * | 2018-12-06 | 2019-05-03 | 中国南方电网有限责任公司 | A kind of Distributed Modeling System metric data method of calibration based on E format |
| CN109525443A (en) * | 2018-12-29 | 2019-03-26 | 广州供电局有限公司 | Processing method, device and the computer equipment of distributed front-collection communication link |
| CN109525443B (en) * | 2018-12-29 | 2019-12-10 | 广州供电局有限公司 | processing method and device for distributed pre-acquisition communication link and computer equipment |
| CN112200485A (en) * | 2020-10-27 | 2021-01-08 | 国电南瑞科技股份有限公司 | Power dispatching real-time data quality improving method based on multi-source arbitration |
| CN112861499A (en) * | 2020-12-02 | 2021-05-28 | 国网浙江省电力有限公司台州供电公司 | Multi-source data statistical method for power grid dispatching and power market application |
| CN113810492A (en) * | 2021-09-16 | 2021-12-17 | 南方电网数字电网研究院有限公司 | Data point table generation method and device based on intelligent gateway and computer equipment |
| CN113810492B (en) * | 2021-09-16 | 2024-04-05 | 南方电网数字电网科技(广东)有限公司 | Data point table generation method and device based on intelligent gateway and computer equipment |
| CN116186017A (en) * | 2023-04-25 | 2023-05-30 | 蓝色火焰科技成都有限公司 | Big data collaborative supervision method and platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105046344B (en) | 2020-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105046344A (en) | Primary station data quality optimizing method for intelligent power grid dispatching technical support system | |
| CN106971351B (en) | The automatic Acceptance Test System of intelligent substation regulation and controlling of information integration and method | |
| JP6301967B2 (en) | A method for analyzing and optimizing the performance of a data collection network in a distribution grid | |
| CN109120464A (en) | Secondary equipment of intelligent converting station configuration information remote online control device | |
| CN104935489B (en) | A kind of information collection networking method and power information acquire network | |
| CN105262220B (en) | Substation's intelligence shutdown telecontrol information check method and system | |
| CN109495290A (en) | A kind of operational system boss stands exchange method and system | |
| CN110995859A (en) | Intelligent transformer substation supporting platform system based on ubiquitous Internet of things | |
| CN109347959A (en) | A kind of photovoltaic plant mobile monitoring system | |
| CN106483262A (en) | A kind of online water quality monitoring system based on mobile terminal | |
| CN107666179B (en) | Method and system for updating information of power distribution automation graph-model interaction point table | |
| CN107749811A (en) | A kind of distribution terminal based on distribution main website accesses adaptive Commissioning Analysis method | |
| CN103107914A (en) | Detection method and detection system for remote power acquisition terminal | |
| KR101082522B1 (en) | Multi-Functional Gataway System for Providing Power Information | |
| CN104269934A (en) | Transformer substation monitoring information debugging method based on mobile type simulating and dispatching main station | |
| CN208862838U (en) | Power concentrator and electric power data acquisition system based on Beidou satellite communication | |
| CN103151840A (en) | Communication method and device of IEC (international electrotechnical commission) 61850 system and non-IEC 61850 system | |
| CN104283222A (en) | Regional power grid reactive voltage control system | |
| CN101701972A (en) | Electrical energy data acquiring system based on wireless mesh ad hoc network | |
| US20150145689A1 (en) | Advanced metering infrastructure site survey system | |
| CN203289484U (en) | Equipment operation state monitoring system | |
| CN101702540A (en) | Electrical energy real time monitoring and line loss analysis system based on wireless mesh ad hoc network | |
| EP3237913B1 (en) | Measuring and/or monitoring device and method for measuring and/or evaluation of the quality and/or stability of power grids | |
| CN111131344A (en) | Method and system for transmitting and storing energy internet cloud platform data | |
| CN105912565A (en) | Monitoring information synchronization method applied to power industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200218 Termination date: 20210515 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |