CN102810121B - Separation gatekeeper based method for filtering power system data - Google Patents

Separation gatekeeper based method for filtering power system data Download PDF

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Publication number
CN102810121B
CN102810121B CN201210298823.8A CN201210298823A CN102810121B CN 102810121 B CN102810121 B CN 102810121B CN 201210298823 A CN201210298823 A CN 201210298823A CN 102810121 B CN102810121 B CN 102810121B
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China
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power system
electric power
system data
data
isolation gap
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CN102810121A (en
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罗嘉
陈世和
张曦
吴乐
孙立明
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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BEIJING TONGFANG ELECTRONIC TECHNOLOGY Co Ltd
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides a separation gatekeeper based method for filtering power system data. The separation gatekeeper based method includes the steps of extracting the power system data input to a separation gatekeeper by a power plant control system in real time; subjecting the power system data to data statistics and analysis to acquire a data filtering limiting value; filtering the power system data on the separation gatekeeper to acquire the effective power system data. Via extraction and statistical analysis for real-time data of the power plant control system, limiting value strategy for data filtering is made by combining relevance between current actual operation condition of the power system and data origins, the effective power system data can be acquired by filtering the power system data by the aid of the limiting value, and accordingly, an information system can run more stably, and abnormity of a displaying system is reduced.

Description

Based on the electric power system data filter method that isolation gap realizes
Technical field
The present invention relates to data filtering techniques, particularly relate to a kind of electric power system data filter method realized based on isolation gap.
Background technology
Safety isolation network gate is that a kind of link layer by cutting off on circuit with various control function specialized hardware between network connects, and the Network Security Device that the application data can carrying out safety appropriateness between network exchanges.
For the electric power secondary system that security requirement is higher, for monitoring and controlling electrical network and power plant's production run process, based on the transaction processing system and smart machine etc. of computer techno-stress technology.Comprise the supplementary controlled system etc. of electric power data acquisition and supervisory system, energy management system, electric substation automation system, current conversion station computer supervisory control system, generating plant computer supervisory control system, electrical power distribution automatization system, microcomputer protective relay and automatic safety device, wide area measurement system, load control system, waterpower scheduling automation and cascade of hydroelectric dispatch automated system, metering and charging system of electric energy amount, Spot electricity market.Wherein the singularity of generating plant computer supervisory control system (SIS system) is that it crosses over a district, 2nd district and 3rd district.Network security generally all adopts isolator that network is divided into the safety zone of different stage, can only have unidirectional data flow between zones of different.Data stream from the low region of high security field flow orientation security, for the concrete condition in high security region, can only be unknowable inaccessible in low-security region, thus ensure that the safety in high security region.
As shown in Figure 1, in control system of power plant infosystem, as the Production Regional in high security region, need to be isolated by the management area in isolation gap and low-security region, the real-time electric power system data of control system of power plant can only single flow direction management area, thus guarantees the safety of Production Regional.
Real-time data acquisition due to electric power secondary system is positioned at the bottom of electric power monitoring system, data magnanimity and very mixed and disorderly, due to the impact of the factors such as interference or sensor performance fault, some unreasonable and abnormal data can be there is in these data, and these abnormal datas are as invalid data, be mingled in valid data, serious threat system run all right, simultaneously due to the characteristic of uniflux, early warning cannot be made to these abnormal datas in directorial area, bring great potential safety hazard to the operation of system.
Summary of the invention
Based on this, be necessary the problem for above-mentioned abnormal data influential system operation stability, a kind of electric power system data filter method realized based on isolation gap is provided.
Based on the electric power system data filter method that isolation gap realizes, comprise the steps:
Extract the electric power system data that control system of power plant inputs to isolation gap in real time;
Statistics and analysis is carried out to described electric power system data and obtains data filtering limit value;
Described isolation gap filters described electric power system data, obtains effective electric power system data.
The above-mentioned electric power system data filter method realized based on isolation gap, by to the extraction of control system of power plant real time data and statistical study, the limit value strategy of data filtering is formulated in association between the current ruuning situation of comprehensive real system and data source, carry out limit value and filter the effective electric power system data of acquisition, infosystem is run more steady, reduce the exception of display systems.
Accompanying drawing explanation
Fig. 1 is control system of power plant information system structure schematic diagram;
Fig. 2 is the electric power system data filter method process flow diagram realized based on isolation gap of embodiment one by one;
Fig. 3 is an application example process flow diagram of implementation procedure of the present invention;
Fig. 4 be an application example to effective electric power system data process flowchart;
Fig. 5 is that the example of an application reality is to invalid electric power system data process flowchart.
Embodiment
Be described in detail below in conjunction with the embodiment of accompanying drawing to the electric power system data filter method based on isolation gap realization of the present invention.
Fig. 2 shows the electric power system data filter method process flow diagram realized based on isolation gap of an embodiment, mainly comprises the steps:
S100, extracts the electric power system data that control system of power plant inputs to isolation gap in real time;
S200, carries out statistics and analysis to described electric power system data and obtains data filtering limit value;
S300, described isolation gap filters described electric power system data, obtains effective electric power system data.
In order to more clear technical scheme of the present invention, explain the preferred embodiment of implementation procedure of the present invention below.
For step S200, be directed to the characteristic of electric power system data, set different filtration limit values to relatively-stationary value data and the delta data by system core Index Influence respectively, its process mainly comprises as follows:
The first, statistics and analysis is carried out to the electric power system data of definite value, determines fixing filtration limit value according to the parameter of setting; Wherein, the electric power system data of definite value comprises constant parameter, preset parameter, such as, highly, length, quality etc., these data are relative fixed datas, not by the impact of system running state, through isolation gap, in the scope that its data comparatively can be fixed at, according to equipment correlation parameter information, set corresponding parameter, can determine that value data filters limit value.
Second, sample statistics and analysis are carried out to the electric power system data of change, such as fired power generating unit vapor pressure parameter, temperature parameter etc., obtain sample data graph of a relation between the electric power system data of change and control system of power plant key index, matching is carried out to described sample data graph of a relation and obtains the funtcional relationship between electric power system data and control system of power plant key index changed, calculate change according to the parameter set and described funtcional relationship and filter limit value;
Due in control system of power plant real time data, the electric power system data relevant to control system of power plant key index, its data are by the impact of system running state, and to these data through isolation gap, its data are also followed control system of power plant key index and change, by carrying out statistics and analysis to the sample of these delta datas, obtain the graph of a relation of sample data and control system of power plant key index, when the sample gathered is enough, these sample points are carried out matching, thus the funtcional relationship that can obtain both (comprises linear functional relation, nonlinear function), refer again to the parameter that professional provides, the limit value strategy of data filtering is formulated in association between the current ruuning situation of comprehensive real system and data source.
Particularly, irrational data in the filtering data that fixing filtration limit value can be wide in range, invalid data may cause due to sensor fault, electrical Interference, measuring point mistake; It is calculate according to relation change with key index that limit value is filtered in change, and changing limit value can irrational data in comparatively meticulous filtering data, and invalid data may be that related system breaks down and causes.The computing formula that limit value is filtered in change deposits a tables of data in a database, shown in reference table 1:
Table 1
Sequence number Parameter name Lower bound High limit Load Unit
0 Main vapour pressure Y1=f(x1) Y1=f(x1) X1 MPa
1 Stream temperature degree Y2=f(x2) Y2=f(x2) X2
2 Reheat steam pressure Y3=f(x3) Y3=f(x3) X3 MPa
3 Reheat steam temperature degree Y4=f(x4) Y4=f(x4) X4
In above-mentioned steps, the mode combined by fixing filtration limit value and change filtration limit value is filtered data, to realize while guarantee mass data high efficiency of transmission, to the synthetic filter of mass data.
For step S300, be filter described electric power system data on described isolation gap, its implementation procedure comprises the steps:
Receive the electric power system data on described isolation gap;
Described electric power system data is resolved and unpacks;
Filter limit value according to described fixing filtration limit value and change respectively to filter corresponding electric power system data, the electric power system data that filtering is invalid, and export effective electric power system data.
Further, the relative alarm information with described invalid electric power system data is preserved in a database, shown in reference table 2:
Table 2
Sequence number Parameter order Type of alarm Time Remarks
0 0 Lower bound 2012-4-22 10:22:50
1 1 Lower bound 2012-4-22 10:23:27
2 2 High limit 2012-4-22 10:24:12
3 3 High limit 2012-4-22 10:25:46
4 2 Lower bound 2012-4-22 10:26:08
Particularly, namely when finding that there is invalid data, the situation of invalid data being preserved in a database with above-mentioned form, by the record case to invalid data, can corresponding early warning be carried out, and relevant abnormalities or failure cause can be inquired about.
Further, by described effective electric power system data write real-time data base.
In order to more be conducive to understanding numerical procedure of the present invention, set forth some application examples of the present invention below in conjunction with accompanying drawing.
Shown in Figure 3, Fig. 3 is an application example process flow diagram of implementation procedure of the present invention, mainly comprises the steps:
S301, isolation gap reads the electric power system data of input;
S302, according to the statistics and analysis to electric power system data, determines data filtering limit value;
S303, judges whether electric power system data exceedes the upper limit of data filtering limit value, if so, performs step S306, if not, performs step S304;
S304, judges whether electric power system data exceedes the lower limit of data filtering limit value, if so, performs step S306, if not, performs step S305
S305, by effective electric power system data write real-time data base;
S306, the electric power system data that filtering is invalid, enters step S307;
S307, by with invalid electric power system data relative alarm information write into Databasce.
Shown in Figure 4, Fig. 4 be an application example to effective electric power system data process flowchart, mainly comprise the steps:
S401, sets up the connection with real-time data base;
S402, reads the effective electric power system data in buffer memory in ready structure;
S403, performs the operation of effective electric power system data write real-time data base;
S404, judges whether write operation runs succeeded, and if so, terminates, and if not, performs step S405;
S405, writes the error log relevant to performing write operation failure.
Shown in Figure 5, Fig. 5 is one and applies real example to invalid electric power system data process flowchart, mainly comprises the steps:
S501, sets up the connection with database;
S502, prepares SQL statement;
S503, performs SQL statement update;
S504, judges that whether SQL statement update is successful, if so, terminates, if not, perform step S505;
S505, the error log that write SQL statement update is relevant.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (6)

1., based on the electric power system data filter method that isolation gap realizes, it is characterized in that, comprise the steps:
Extract the electric power system data that control system of power plant inputs to isolation gap in real time;
Statistics and analysis is carried out to described electric power system data and obtains data filtering limit value; Specifically comprise:
Statistics and analysis is carried out to the electric power system data of definite value, determines fixing filtration limit value according to the parameter of setting;
Sample statistics and analysis are carried out to the electric power system data of change, obtain sample data graph of a relation between the electric power system data of change and control system of power plant key index, matching is carried out to described sample data graph of a relation and obtains the funtcional relationship between electric power system data and control system of power plant key index changed, calculate change according to the parameter set and described funtcional relationship and filter limit value;
Described isolation gap filters described electric power system data, obtains effective electric power system data; Wherein, described filtration step comprises:
Receive the electric power system data on described isolation gap; Described electric power system data is resolved and unpacks; Filter limit value according to described fixing filtration limit value and change respectively to filter corresponding electric power system data, the electric power system data that filtering is invalid, and export effective electric power system data.
2. the electric power system data filter method realized based on isolation gap according to claim 1, it is characterized in that, described funtcional relationship comprises linear functional relation or nonlinear function.
3. the electric power system data filter method realized based on isolation gap according to claim 2, it is characterized in that, the electric power system data of described definite value comprises: constant parameter, preset parameter.
4. the electric power system data filter method realized based on isolation gap according to claim 3, is characterized in that, fired power generating unit vapor pressure parameter, temperature parameter.
5. the electric power system data filter method realized based on isolation gap according to claim 4, is characterized in that, also comprise: the relative alarm information with described invalid electric power system data preserved in a database.
6. the electric power system data filter method realized based on isolation gap according to claim 4, is characterized in that, also comprise: by described effective electric power system data write real-time data base.
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CN104809662B (en) * 2015-05-06 2018-03-16 西安交通大学 The detection method of abnormal data in a kind of Coal Pulverizing System of Thermal Power Plant data
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CN101666841A (en) * 2009-09-18 2010-03-10 重庆大学 Fault diagnosis method of digitalizing transformer substation electronic transducer
CN101728869A (en) * 2009-11-10 2010-06-09 重庆大学 Power station automation system data network security monitoring method
CN101815059A (en) * 2009-02-19 2010-08-25 上海众恒信息产业股份有限公司 Multistage network structure and data transmission method thereof

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CN101666841A (en) * 2009-09-18 2010-03-10 重庆大学 Fault diagnosis method of digitalizing transformer substation electronic transducer
CN101728869A (en) * 2009-11-10 2010-06-09 重庆大学 Power station automation system data network security monitoring method

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Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD.

Patentee after: Beijing Tongfang Electronic Technology Co., Ltd.

Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

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Patentee before: Beijing Tongfang Electronic Technology Co., Ltd.

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Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

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Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

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Patentee before: Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.

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