CN103150599A - Electric energy quality data monitoring and management system model - Google Patents
Electric energy quality data monitoring and management system model Download PDFInfo
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Abstract
The invention discloses an electric energy quality data monitoring and management system model and relates to the field of electric energy quality data monitoring device and electric energy quality data monitoring system structures. A monitoring device adopted by the model comprises original data acquisition, processing and analysis technologies. A monitoring system structure adopts a three-layer structural system consisting of a terminal user layer, a server and a data layer. According to institute of electrical and electronic engineers (IEEE) 1159.3 and international electro-technical commission (IEC) 61850 standards, the monitoring device provides detailed requirements of a measurement process, measurement accuracy, performance requirements and standards of a communication network and a system. According to the data processing and analysis technologies of the monitoring device, specific electric energy quality index parameters are selected for calculation, and uploading is performed within set time and in prescribed PQDIF and XML-PQDIF formats by using an electric energy quality monitoring device. The model adopts the three-layer structural system. The model is low in later-stage input cost, convenient, quick, simple and reliable. The model is applied to electric energy quality monitoring and management in an intelligent grid frame.
Description
Technical field
The present invention relates to power quality data monitoring system structure and Power quality management field, proposed a kind of novel network management power quality data monitoring and management system model according to the quality of power supply standard IEEE 1159.3 of IEEE regulation.
Background technology
Electric energy quality monitoring system becomes an important tool that guarantees the power grid security reliability service, and China power system power supply department monitors to the network monitoring transition with regular or irregular from special measurement the monitoring of the quality of power supply.At present, on market, most of Electric Power Quality On-line Monitor System are all the C/S structures, under this pattern, the computing machine of each monitoring all must be installed client application software, consider for the monitoring on a large scale from now on, certain limitation is arranged from the aspects such as security, consistance, real-time, traceability and service response speed of data.Zhejiang Province power office once proposed to set up the electric energy quality monitoring system of browsing mode, perhaps electric energy quality monitoring was dissolved into the conception of original SCADA system.
For the standardization of power quality data in monitoring system, all formulated quality of power supply standard both at home and abroad for electric power department and electricity consumption client decision analysis.EPRI has developed power quality data format transformation PQDIF, has successfully solved data polyphyly, data sharing, for the programmer provides unified data pattern and data access interface, provides platform for realizing Power quality management and analytic system.Yet its structure is binary file, and bottom code realizes difficulty, adopts the function calling method execution speed slow, and channel definition is separated with the sequential value example, complicated sign is all brought inconvenience to inquiry and revised file.
Along with the continuous increase of monitoring point, especially to various transient state processes, as pulse, voltage swells, voltage dip etc., need to adopt high-speed data acquistion system with the integrity property of reflected signal, the raising of sample frequency has proposed certain requirement to memory capacity.Therefore power quality data being monitored needs multi-door subject, multiple technologies in conjunction with satisfying higher requirement.
Summary of the invention
For the defective that exists in foregoing, the object of the invention is to propose a kind of power quality data monitoring and management system model, be intended to solve the power quality problem in electrical network, guarantee quality supply, satisfy electric energy quality monitoring and management expectancy under the intelligent grid framework.
Technical scheme of the present invention is, provides a kind of based on B/S structural system model, is respectively vertically deep three layers of data Layer, server layer, client layers.
Described data Layer is used for the management system desired data, comprises power quality data storehouse and Data Format Transform.
Described data Layer database is divided into measures real-time data base, historical data base, parameter database, and the Data Source in database is each equipment for monitoring power quality, comprises transformer station, power plant and other electricity consumptions user; Described Data Format Transform is characterized in that: in the power quality data storehouse, each database is comprised of the tables of data of a plurality of relevant informations, and the format conversion that these tables of data are stipulated is convenient to data upload.Be based on the data of XML-PQDIF form during described power quality data storehouse uploading data, it is characterized by: quality of power supply format transformation PQDIF separates the physical attribute of data by the tagged element structure with logical attribute, have good extendability, reach the purpose of data sharing; Can exchange with the upper data of Internet but introduce mark expansion Language XML-PQDIF data, have very strong opening; Adopt the compression ZLIB algorithm and the PKZIP algorithm that carry in the LZW compression algorithm replacement PQView in Lossless Compression, compression efficiency is higher, saves storage space and transmission time.Supplementary notes be that PQView is U.S.'s DianKeYuan and an American Electric Power scholar company maturation, data base administration, analysis and the market demand software comprehensive quality of power supply special use in the world at present in the exploitation of the nineties initial stage, it is the implementation tool of PQDIF, XML-PQDIF format conversion, the several data form can be changed, as * .txt, * .xls, * .dat, * .csv etc.
Described server layer comprises database server and Web server.
Described database server provides ability that database data processes, ability that statistics of database is analyzed and data base administration ability etc.Data manipulation language (DML) DML in the employing sql like language comes the data division in the query processing database; The object of statistics of database analysis refers in particular to the data of measuring in real-time data base and historical data base, as the post analysis evaluation work; The data base administration ability is refered in particular to the management of all databases and operation maintenance.
Described Web server is database to be operated according to the request that Web server proposes by intermediary to the access of database, the formal output of result with hypertext, then by Web server, this page is turned back to Web browser; Described intermediary technology is the Script Programming ASP technology that the Web server end adopts, and accesses the Web database by ASP, and the access system file finally generates dynamic page, is simple and easy to use.
Client layer refers in particular to the terminal user, comprises terminal electric energy quality monitoring central site and non-firm power user.
Described terminal user provides the Web server interface, is used for extracting data from equipment for monitoring power quality, simultaneously the formatted file of exportable required standard.Described formatted file is PQD form, XML-PQDIF form.The terminal user can carry out electric energy quality monitoring and management by Web browser; Difference is susceptibility and contaminative user to non-firm power user in described terminal user according to the characteristics of its load, for post analysis and management are prepared.
Concrete technical scheme is as follows:
A kind of power quality data monitoring comprises data Layer with the management system model, server layer, and client layer, described data Layer are used for gathering power quality data, and power quality data is exported after treatment; Described server layer is used for obtaining and process power quality data from data Layer provides dynamic page with the result that power quality data is processed to client layer simultaneously; Described client layer is to the monitoring of the quality of power supply and office terminal, is used for the result monitoring and the management quality of power supply power quality data processed according to server layer.
Described data Layer comprises equipment for monitoring power quality and power quality data storehouse, equipment for monitoring power quality is used for gathering power quality data, the power quality data that collects is carried out Data Format Transform, result is transferred in the power quality data storehouse and the quality of power supply is monitored classification, data in the power quality data storehouse are divided three classes, namely measure real-time data base, historical data base, parameter database, the data in the power quality data storehouse are through the conversion layer that uploads onto the server; Described server layer comprises database server and WEB server, described database server is used for calling the data of measuring real-time data base and historical data base in the power quality data storehouse, and add up the result of calculation of invoked data, the data in while management and maintenance power quality data storehouse, communication interface with Web server is provided simultaneously, calls for outside extender; Described Web server is used for the file in the access database server, the formal output of result with hypertext, offers client layer and consults; Described client layer comprises electric energy quality monitoring center terminal website and non-firm power user.
equipment for monitoring power quality is used for from transformer station, gather power quality data in power plant and other electricity consumption user, the power quality data that compresses collecting by LZW carries out Data Format Transform, result is communicated transmission according to the communication standard IEC61850 that IEC stipulates, transfer in the power quality data storehouse and according to the IEEE1159.3 standard, the quality of power supply is monitored classification, data in the power quality data storehouse are divided three classes, namely measure real-time data base, historical data base, parameter database, data in the power quality data storehouse through PQDIF conversion and LZW compression after according to the XML-PQDIF form as the file layout of exporting with data upload to server layer, described server layer comprises database server and WEB server, described database server is used for calling the data of measuring real-time data base and historical data base in the power quality data storehouse, and the result of the statistics data that are called as calculated, adopt simultaneously the automated back-up technical management and safeguard the data in power quality data storehouse, communication interface with Web server is provided simultaneously, call for outside extender, described Web server is take the ASP technology as intermediary, request access database server according to the Web server proposition, file in the access database server, the formal output of result with hypertext, the final dynamic page that generates turns back to Web browser, offering the terminal user consults.
Described power quality data monitoring is based on B/S structural system model with the management system model, each is comprised of data in described measurement real-time data base, historical data base, parameter database plural information data table, these tables of data are carried out the PQDIF format conversion, by the tagged element structure, the physical attribute of data is separated with logical attribute during conversion, adopt simultaneously the LZW compression algorithm compression in Lossless Compression, convert the XML-PQDIF form to; Adopt tag definition element in the XML-PQDIF formatted file, can be by the customer requirements customized label; The element of the three types in the PQDIF Physical layer, Collection can be regarded an XML tag that there is no attribute as, and two kinds of marks of Scalar and Vector have been nested in the Collection mark; Use the node of XML Schema definition XML; Described measurement real-time data base comprises real time data and transient event data, described historical data base forms by statistics afterwards, comprise raw data and computed information, parameter database is preserved is transformer station, power plant, other electricity consumptions user's parameter, limit value, the data message of interference source archives.
Described database server is for the treatment of database data, statistical data analysis database data, management database and communication interface with Web server is provided, and calls for outside extender; Statistics of database analyze to as if measure data in real-time data base and historical data base, adopt data manipulation language (DML) DML in sql like language to come data in query processing real-time data base and historical data base, and the data after calculating write in statistical form; Management database is to the management of all databases and operation maintenance;
Monitoring terminal is client layer, comprises terminal electric energy quality monitoring central site and non-firm power user.The non-firm power user can refer in particular at present according to the characteristics of its load and be susceptibility (as the IT industry) and contaminative user (as electric railway, steel plant etc.);
Described terminal electric energy quality monitoring central site user is sorted out, for post analysis and management are prepared.
Beneficial effect: the power quality data monitoring is simple in structure with management system, makes the data in observation process have more exchangeability and sharing, adopts the Web database to improve the speed in access power quality data storehouse.It is more timely that under the intelligent grid framework, electric energy quality monitoring and management system can make the response of supply side and Demand-side, and range of adjustment is large, and the electrical network quality of power supply is higher.
Description of drawings
Fig. 1 is power quality data monitoring of the present invention and management system model;
Fig. 2 is data flowchart in data Layer in the present invention;
Fig. 3 is that in the present invention, Monitoring Data is converted to XML-PQDIF formatted file demonstration graph;
Fig. 4 is the process flow diagram that calls voltage data in the present invention;
Fig. 5 is Web server accessing database structural drawing in the present invention.
Embodiment
As shown in Figure 1, provide a kind of based on B/S structural system model in the present invention, mainly comprise equipment for monitoring power quality, power quality data storehouse, database server, Web server, electric energy quality monitoring center terminal website and non-firm power user in model.
As shown in Figure 2, described equipment for monitoring power quality gathers power quality data from electric substation, power plant and other electricity consumptions user, to measuring real-time data base, the standard of monitoring in monitoring device is according to the communication standard IEC61850 of quality of power supply standard IEEE 1159.3 and the IEC regulation of IEEE regulation with data upload; Simultaneously, also has parameter database in monitoring device.In the native system model, data can be divided three classes and measure real-time data base, historical data base, parameter database: measuring real-time data base is the measurement real time data of uploading from monitoring device, wherein measures real time data and comprises real time data and transient event data; Historical data base is the historical data that forms afterwards by statistics, and historical data is divided into raw data and computed information, as waveform of the front 5S that exceeds standard, time data, computed information etc.; Parameter database is device, channel parameters data and interference source data, what preserve in parameter database is these data messages such as monitoring point parameter, limit value, interference source archives, these data messages are quite important, interference source information comprises capacity, pattern, parameter, the wiring of jamming equipment, to the situation of its electric power system, the situation of correlative compensation device and the important historical data of interference source etc., so this database access is subject to Warrant Bounds.
Data Format Transform in described data Layer, as shown in Figure 3, concrete grammar is that in the power quality data storehouse, each database is comprised of the tables of data of a plurality of relevant informations, and the format conversion that these tables of data are stipulated is convenient to data upload.The characteristics of format conversion are: one, quality of power supply format transformation PQDIF separates the physical attribute of data by the tagged element structure with logical attribute, has good extendability, reaches the purpose of data sharing.Each PQDIF file is that it comprises all data source records with a container recording layer (Container) beginning, and each data source record comprises that again monitor arranges record and observational record.The inner structure that records in PQDIF comprises record-header and recording body.Record-header is with unique identifier GUID mark, also comprise the mark that contains designated recorder, size and with the absolute link of next record.Recording body is comprised of one group of element that comprises data, and the element of three types is arranged: vectorial array (Vector), grade point (Scalar) and set (Collection).In order to define each special element, a Tag mark of each element.Two, but introducing mark expansion Language XML-PQDIF data can exchange with the upper data of Internet, have very strong opening.XML also is based on the language of the stratification of label, and its extensibility is more superior than PQDIF, and defines the node of XML with Schema.For example: from the angle analysis of logical layer, the tag that PQDIF uses comes every record of mark, and expression mode and XML tag language coincide; From the Physical layer angle analysis, in XML, the expression mode of an element is:
<xsd:complexType?element?name="tag1">
<xsd:sequence>
<xsd:element?name="tag2"?type="v1"></xsd:element>
</xsd:sequence>
</xsd:complexType>
Wherein, " tag1 ", " tag2 " are the element tags name, and " tag2 " are defined as the subobject of " tag1 " with the complicated type statement, and " v1 " is property value, and element object and attribute are and can expand.Three, the compression ZLIB algorithm and the PKZIP algorithm that carry in the LZW compression algorithm replacement PQView in the employing Lossless Compression, compression efficiency is higher, saves storage space and transmission time.Lzw algorithm is based on the compression algorithm of dictionary, and the LZW dictionary is maintained as a multiway tree, and the node structure of tree is:
Struct?dictionary?{
Int?code_value;
Int?parent_code;
Char?character;
}Dict[TABLE_SIZE];
Adopt the hash array to safeguard the pointer of dictionary in structure, reach the purpose of fast finding child node; In addition, the capacity that adds big dictionary can improve compressibility.
Described server layer is the middle layer of connection data layer and client layer, comprises database server and Web server.
Database server provides ability that database data processes, ability that statistics of database is analyzed and data base administration ability etc.Its is calling data from the power quality data storehouse on the one hand, adopt data manipulation language (DML) DML in sql like language to come data division in query processing power quality data storehouse, calculate the parameter such as power factor (PF), active power, reactive power of first-harmonic and each harmonic according to the data in the power quality data storehouse, and the data after calculating write in statistics table, are illustrated in figure 4 as the process flow diagram of inquiry voltage data; The object of statistics of database analysis refers in particular to the data of measuring in real-time data base and historical data base, comprises statistical study and the calculating of all data being carried out maximal value, minimum value, effective value, mean value, 95% probable value; The data base administration ability is refered in particular to and is adopted the automated back-up technology to management and the operation maintenance of all databases, comprises the functions such as the operation maintenance, data backup of database server, data-optimized and accident treatment.On the other hand, database server provides the communication interface with Web server, calls for the outside extender of middleware.
Fig. 5 is Web server accessing database structural drawing.As shown in Figure 5, the ASP technology is as intermediary, according to the request access database server of Web server proposition, file in the access database server, the formal output of result with hypertext, finally generate dynamic page and turn back to Web browser, offer client layer and consult.ASP has absorbed many popular technology, as IIS, ActiveX, ODBC etc., the script edit language of its acquiescence is Vbscript, but the user can select as required, at present all popular scripts can be write the ASP application program, prerequisite has been user installation corresponding script engine.Web server is take Web browser as man-machine interface, and client layer can pass through the browser browsing page, the information such as the data query based on the Web form of access Web server issue, data analysis, figure demonstration.
Client layer refers in particular to the terminal user, comprises terminal electric energy quality monitoring central site and non-firm power user.
Client layer provides the Web server interface, carries out monitoring and the management of the quality of power supply by Web browser; Difference is susceptibility and contaminative user to the non-firm power user according to the characteristics of its load, for post analysis and management are prepared.
Claims (8)
1. a power quality data is monitored and the management system model, it is characterized in that: comprise data Layer, and server layer, client layer, described data Layer are used for gathering power quality data, and power quality data is exported after treatment; Described server layer is used for obtaining and process power quality data from data Layer provides dynamic page with the result that power quality data is processed to client layer simultaneously; Described client layer is to the monitoring of the quality of power supply and office terminal, is used for the result monitoring and the management quality of power supply power quality data processed according to server layer.
2. power quality data monitoring according to claim 1 and management system model, it is characterized in that: described data Layer comprises equipment for monitoring power quality and power quality data storehouse, equipment for monitoring power quality is used for gathering power quality data, the power quality data that collects is carried out Data Format Transform, result is transferred in the power quality data storehouse and the quality of power supply is monitored classification, data in the power quality data storehouse are divided three classes, namely measure real-time data base, historical data base, parameter database, data in the power quality data storehouse are through changing the layer that uploads onto the server, described server layer comprises database server and WEB server, described database server is used for calling the data of measuring real-time data base and historical data base in the power quality data storehouse, and add up the result of calculation of invoked data, the data in while management and maintenance power quality data storehouse, communication interface with Web server is provided simultaneously, calls for outside extender, described Web server is used for the file in the access database server, the formal output of result with hypertext, offers client layer and consults, described client layer comprises electric energy quality monitoring center terminal website and non-firm power user.
3. power quality data monitoring according to claim 2 and management system model, it is characterized in that: equipment for monitoring power quality is used for from transformer station, gather power quality data in power plant and other electricity consumption user, the power quality data that compresses collecting by LZW carries out Data Format Transform, result is communicated transmission according to the communication standard IEC61850 that IEC stipulates, transfer in the power quality data storehouse and according to the IEEE1159.3 standard, the quality of power supply is monitored classification, data in the power quality data storehouse are divided three classes, namely measure real-time data base, historical data base, parameter database, data in the power quality data storehouse through PQDIF conversion and LZW compression after according to the XML-PQDIF form as the file layout of exporting with data upload to server layer, described server layer comprises database server and WEB server, described database server is used for calling the data of measuring real-time data base and historical data base in the power quality data storehouse, and the result of the statistics data that are called as calculated, adopt simultaneously the automated back-up technical management and safeguard the data in power quality data storehouse, communication interface with Web server is provided simultaneously, call for outside extender, described Web server is take the ASP technology as intermediary, request access database server according to the Web server proposition, file in the access database server, the formal output of result with hypertext, the final dynamic page that generates turns back to Web browser, offering the terminal user consults.
4. power quality data monitoring according to claim 3 and management system model, it is characterized in that: described power quality data monitoring is based on B/S structural system model with the management system model, each is comprised of data in described measurement real-time data base, historical data base, parameter database plural information data table, these tables of data are carried out the PQDIF format conversion, by the tagged element structure, the physical attribute of data is separated with logical attribute during conversion, adopt simultaneously the LZW compression algorithm compression in Lossless Compression, convert the XML-PQDIF form to; Adopt tag definition element in the XML-PQDIF formatted file, can be by the customer requirements customized label; The element of the three types in the PQDIF Physical layer, Collection can be regarded an XML tag that there is no attribute as, and two kinds of marks of Scalar and Vector have been nested in the Collection mark; Use the node of XML Schema definition XML; Described measurement real-time data base comprises real time data and transient event data, described historical data base forms by statistics afterwards, comprise raw data and computed information, parameter database is preserved is transformer station, power plant, other electricity consumptions user's parameter, limit value, the data message of interference source archives.
5. power quality data monitoring according to claim 3 and management system model, it is characterized in that: described database server is for the treatment of database data, statistical data analysis database data, management database and communication interface with Web server is provided, and calls for outside extender; Statistics of database analyze to as if measure data in real-time data base and historical data base, adopt data manipulation language (DML) DML in sql like language to come data in query processing real-time data base and historical data base, and the data after calculating write in statistical form; Management database is to the management of all databases and operation maintenance.
6. the monitoring of the power quality data described according to claim 1 and management system model, it is characterized in that: monitoring terminal is client layer, comprise terminal electric energy quality monitoring central site and non-firm power user, the non-firm power user is divided into susceptibility and contaminative user according to the characteristics of its load.
7. the monitoring of the power quality data described according to claim 6 and management system model, it is characterized in that: described susceptibility user is IT industry user, contaminative user is the user of electric railway, steel plant.
8. the monitoring of the power quality data described according to claim 1 and management system model is characterized in that: described terminal electric energy quality monitoring central site user is sorted out, for post analysis and management are prepared.
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