CN105046344A - Primary station data quality optimizing method for intelligent power grid dispatching technical support system - Google Patents

Abstract

The invention discloses a master station data quality optimization method for a smart grid dispatching technical support system, comprising the following steps: the master station collects substation data from multiple communication channels, selects a current data source according to a set priority, and generates current data The data point CIM/E file of the source; the substation generates the data point CIM/E file periodically and sends it to the master station through an independent communication channel; compares the data point CIM/E file of the master station with the data point CIM/E file of the substation For verification, when the verification result is normal, the normal data will be displayed on the scheduling screen of the master station; otherwise, the data sources collected by multiple communication channels will be called, and the next lower priority data source will be obtained as the current data Source, generate the data point CIM/E file of the current data source, and perform comparison and verification according to the above steps until the verification result is normal. The invention can avoid partial data inconsistency between the main station and the substation, and effectively improve the data quality of the main station of the smart grid dispatching technical support system.

Description

Master station data quality optimization method for smart grid dispatching technical support system

technical field

The invention relates to a master station data quality optimization method, in particular to a master station data quality optimization method oriented to a smart grid dispatching technical support system, and belongs to the technical field of electric power system dispatching.

Background technique

In recent years, with the improvement of the requirements for the quality of power grid operation, the power system has increased the assessment of the qualification rate of the state estimation of the master station, which essentially puts forward higher requirements for the data quality of the master station. The data quality problems of the master station are mainly manifested in the following two aspects:

The first is that the data quality at the substation end is not high. In response to this situation, Huang Hui and others have elaborated in the paper "Development Analysis and Prospect of Smart Grid Data Quality Control" (published in "Science and Technology Information" No. 7, 2012, pages 92-93), here No longer.

The second is that the communication transmission error between the master station and the substation end leads to low data quality. With the rapid development of the power system, more and more data are stored in the smart grid dispatching technical support system, including information interaction of various data. As an important part of power transmission and information collection, the substation provides various types of data for the main station, and its comprehensiveness and integrity are the information basis for realizing the smart grid. However, the existing substation data quality is not high, and it is difficult to provide accurate, effective and reliable data for other applications.

The reasons mainly include the following:

(1) The data scale of the smart grid dispatching technical support system is huge, and the method of manually checking the data point table is not reliable and prone to errors;

(2) At present, the data point table required for communication between the two parties in the smart grid dispatching technical support system needs to be manually generated. When the master station or substation independently maintains the point table, the data synchronization between the master station and the substation may not be timely;

(3) In order to ensure the data integrity of the smart grid dispatching technical support system, multi-data source channel collection is often used between the substation and the main station to ensure the uninterrupted transmission of various data. However, the current source data screened out by the master station's multi-source collection is not necessarily the most reliable, and the most accurate data is not sent to the SCADA system and other applications;

(4) The master station and the substation use the communication protocol to transmit data information. If the communication protocol is abnormal, it will also cause the master station to not correctly reflect the actual operation of the field equipment, thereby affecting the correctness and consistency of the data.

At present, there is no effective solution proposed in the prior art to analyze and solve the above-mentioned problems in the process of data transmission between the master station and the substation, so as to improve the overall data quality, improve the pass rate of state estimation, and provide accurate information for other applications. , valid and reliable data.

Contents of the invention

Aiming at the deficiencies of the prior art, the technical problem to be solved by the present invention is to provide a master station data quality optimization method for a smart grid dispatching technical support system.

For realizing the above-mentioned purpose of the invention, the present invention adopts following technical scheme:

A master station data quality optimization method oriented to a smart grid dispatching technical support system, comprising the following steps:

The master station collects substation data from multiple communication channels to obtain multiple data sources, selects the current data source according to the set priority, and generates the data point CIM/E file of the current data source;

The substation periodically generates data point CIM/E files and sends them to the master station through an independent communication channel;

Compare and verify the data point CIM/E file of the master station and the data point CIM/E file of the substation, and when the verification result is normal, display the normal data on the dispatching screen of the master station;

Otherwise, call the data sources collected by multiple communication channels, obtain the next lower priority data source as the current data source, generate the data point CIM/E file of the current data source, and perform comparison and verification according to the above steps until The verification result is normal.

Wherein preferably, the verification result is normal including that the data point CIM/E file of the main station is consistent with the data point CIM/E file regularly generated by the substation, and the data point CIM/E file of the main station is consistent with the regularly generated data point of the substation. Data point CIM/E files yield deviations within set thresholds.

Preferably, before the data point CIM/E file of the master station and the data point CIM/E file of the substation are compared and verified, the data point CIM/E file of the master station is checked and verified;

The check includes data correctness check, data completeness check and data relevance check.

Wherein preferably, the data correctness check checks whether the data point CIM/E file conforms to the CIM/E standard;

The data completeness check checks whether the parameter attributes contained in the data in the data point CIM/E file meet the system analysis control;

The data association check checks whether the association relationship contained in the data point CIM/E file is reasonable.

Wherein preferably, comparing and verifying the data point CIM/E file of the main station and the data point CIM/E file of the substation includes the following steps:

The master station obtains the data of the substation data point CIM/E file at the same time as the data point CIM/E file that it needs to verify, and compares it to obtain the horizontal comparison result;

Compare the horizontal comparison result with the set horizontal threshold to obtain the horizontal verification result;

The master station obtains the data of substation data point CIM/E files of multiple dates at the same time as the data point CIM/E files that it needs to verify at a certain moment, and compares them to obtain the longitudinal comparison result;

Compare the vertical comparison result with the set vertical threshold to obtain the vertical verification result;

When both the horizontal verification result and the longitudinal verification result determine that the data point CIM/E file of the master station is normal data, the normal data will be displayed on the dispatching screen of the master station.

Preferably, when comparing and verifying the data point CIM/E file of the main station and the data point CIM/E file of the substation, the data point CIM/E file is divided into telemetry data point CIM/E file, remote CIM/E files of letter data points and CIM/E files of remote control data points; and set different formats for each type of data point CIM/E files.

Wherein preferably, the horizontal threshold includes a horizontal maximum threshold and a horizontal minimum threshold;

The longitudinal thresholds include a longitudinal maximum threshold and a longitudinal minimum threshold.

Wherein preferably, the master station data quality optimization method for the smart grid dispatching technical support system also includes the following steps:

When the deviation of all data sources exceeds the set threshold, the data point CIM/E file transmitted on the substation is the top priority data point, and an abnormal alarm is sent to the dispatching operator.

Wherein preferably, the master station collects data sources from multiple communication channels through the communication protocol of Ethernet;

The substation sends the regularly generated data point CIM/E file to the main station through an independent communication channel through the communication protocol of Ethernet.

The master station data quality optimization method oriented to the smart grid dispatching technical support system provided by the present invention aims at data quality problems such as data inconsistencies between the master station and the substation of the smart grid dispatching technical support system, and analyzes the existing smart grid dispatching technical support system On the basis of data quality, through the use of improved multi-source data screening to obtain the best quality data, and the data verification technology between different systems using CIM/E text as the carrier, the data points of the master station CIM/E file Compare and verify with the data point CIM/E files regularly generated by the substation to minimize the data inconsistency between the master station and the substation, effectively improve the data quality of the master station of the smart grid dispatching technology support system, thereby ensuring the smart grid dispatching technology Support the safe and reliable operation of the system.

Description of drawings

Fig. 1 is a schematic diagram of the overall architecture of the master station data quality optimization method provided by the present invention;

Fig. 2 is the flowchart of the master station data quality optimization method provided by the present invention;

Fig. 3 is a flow chart of comparing and verifying the data point CIM/E file of the master station and the data point CIM/E file of the substation in the master station data quality optimization method provided by the present invention.

Detailed ways

The technical content of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

The data quality optimization method of the master station provided by the invention is based on the existing smart grid dispatching technical support system, and realizes the data quality optimization of the smart grid dispatching technical support system. Among them, the existing smart grid dispatching technical support system provides the following prerequisites for the design of this data quality optimization scheme:

(1) The data information transmission between the master station and the substation uses high-efficiency Ethernet to ensure the timeliness of data;

(2) Multi-source data collection ensures the integrity of the overall data and provides a stable source for data comparison and verification;

(3) Use a common information model (common information model, CIM)-based power grid general model description specification CIM/E text, as the carrier of information exchange between the master station and the substation, and also as the content of data verification;

(4) The master station has opened up a service for data comparison, waiting to receive the data point CIM/E file transmitted from the substation;

(5) The master station supports the function of generating data point CIM/E files from specified data information;

(6) The substation supports the function of generating data point CIM/E files from specified data information.

Optimizing the data quality of the smart grid dispatching technical support system based on the functions provided by the existing smart grid dispatching technical support system can effectively solve the problem of correctness and consistency of data in the smart grid dispatching technical support system.

The present invention proposes a method suitable for remote data comparison between the main station and the substation by studying the abnormal data statistical verification method of the smart grid dispatching technology support system, the CIM/E-based data comparison technology and the improved multi-source data optimization technology The method improves the correctness and consistency of the overall data and the degree of automation of power grid dispatching in terms of reliability, efficiency, and ease of use.

In the embodiment provided by the present invention, the data quality optimization of the smart grid dispatching technology support system is vertically divided into two levels, the main station and the substation, and the two systems communicate through the communication protocol of Ethernet to realize the data exchange between the systems. Transfer and sync. Horizontally, it is divided into two functions: multi-source data collection optimization and data point CIM/E file comparison and verification, which provide data sources and verification methods for data quality optimization respectively. Among them, the overall architecture of the smart grid dispatching technical support system data quality optimization is shown in Figure 1. In Figure 1, the master station is inside the upper dotted line box, and the substation system is inside the lower dotted line box. The data quality optimization method of the master station oriented to the smart grid dispatching technical support system is described from the vertical and horizontal aspects with the directed line segment representing the data flow direction process.

As shown in Figure 2, the master station data quality optimization method oriented to the smart grid dispatching technical support system provided by the present invention includes the following steps: first, the pre-acquisition terminal of the master station transfers substation data from multiple communication channels through communication protocols After the collection, the current data source is selected according to the priority automatically obtained or manually specified, and the data point CIM/E file of the current data source is generated; at the same time, the substation periodically generates the data point CIM/E file, which is transmitted from the independent Ethernet through the communication protocol. The communication channel is sent to the master station; secondly, the data point CIM/E file of the master station is compared and verified with the data point CIM/E file of the substation, and the verification result is fed back to the master station; normal or deviation is set The data within the threshold is directly displayed on the scheduling screen of the master station, and the abnormal data whose deviation exceeds the threshold can be called to the same data from the next lower priority source for re-comparison and verification; and so on to continue the comparison and verification, Finally, the scheduling screen data is consistent with the on-site data. The following is a detailed description of this process.

S1, the pre-acquisition terminal of the master station collects the substation data from multiple communication channels through the communication protocol, obtains multiple data sources, selects the current data source according to the priority automatically obtained or manually specified, and generates the data of the current data source Click CIM/E file.

The traditional smart grid dispatching technical support system uses multi-source data acquisition technology to ensure that substation data is continuously provided to the master station. In the multi-source data acquisition technology, there can be multiple data sources for one data, and each data source occupies an independent communication channel. Ideally, multiple data sources have the same data index, that is, each data source provides the same data service and is a backup relationship for each other. The user divides each data source into different priorities according to the stability of the communication channel. When multiple data sources are running stably at the same time, only one of the data sources will provide data to the SCADA system or other applications, called the current data source, and the non-current data source will not provide data to the SCADA system or other applications. If the current data source fails, the system will select the one with the highest priority from other available data sources as the new current data source.

However, the traditional multi-source data acquisition technology also has certain problems. Since the most preferred data source automatically assigned or manually designated is not necessarily the most accurate, the communication channel used by the current data source has an abnormal situation of non-switching data source. , it may cause abnormal data generation. If the abnormal data is sent to the SCADA system, it will inevitably affect the correctness of the data. Therefore, in the embodiment provided by the present invention, an improved multi-source data optimization technology is used, that is, the data of the current data source is generated into a CIM/E format file, and the data point CIM/E file uploaded by the substation through other independent communication channels Perform comparison and verification, and feed back the comparison results to the master station. If the deviation between the current data source data and the same data sent by the substation exceeds the set threshold, select the data from the next priority data source and continue to compare and verify until the reasonable data is selected as the highest priority data point and sent to the SCADA system and related applications. If the deviation of all source data exceeds the set threshold, the data transmitted on the designated substation will be sent as the highest priority data point to the SCADA system and related applications, and an abnormal alarm will be sent to prompt the dispatcher.

S2, the substation periodically generates data point CIM/E files, and sends them to the master station through the communication protocol from the independent Ethernet communication channel.

S3, compare and verify the data point CIM/E file of the master station and the data point CIM/E file of the substation, and feed back the verification result to the master station, when the verification result is normal or the deviation is within the set threshold , display the normal data on the scheduling screen of the master station, otherwise, turn to step S4.

The substation regularly forms the data point CIM/E file according to the actual data on the site, and sends it to the remote master station through the communication protocol from the independent Ethernet communication channel, as the source of the data verification of the master station and the data point CIM/E file of the master station for comparison checksum. Before the data point CIM/E file of the master station is compared with the data point CIM/E file of the substation, the data point CIM/E file of the master station is checked and verified according to the data verification function provided by the master station .

The data verification technology used in the electric power industry is usually processed by regularity verification of data, and the data verification technology based on CIM/E adopts the method that the power grid data must meet the basic rules of the power system. By using the basic rules generated by the CIM/E standard, the data that violates the rules is compared and screened out as abnormal data, so as to achieve the purpose of data verification. In the embodiment provided by the present invention, according to the data verification function provided by the master station, checking and verifying the data point CIM/E file of the master station includes the following contents:

(1) Data correctness check

Data correctness verification refers to verifying whether CIM/E data (data point CIM/E file) meets the requirements of the CIM/E standard, including common sense verification of device parameters, uniqueness verification of device codes, and correctness of device data values Verification, CIM/E syntax accuracy verification, CIM/E semantic accuracy verification, etc.

(2) Data integrity check

Data integrity verification refers to checking whether the parameter attributes contained in CIM/E data meet the needs of system analysis and control, including equipment attribute integrity verification, equipment type integrity verification, record integrity verification, etc.

(3) Data relevance check

Data correlation verification refers to checking whether some important correlations in CIM/E data are reasonable, including verification of correctness of associated object types, bidirectional correlation consistency verification, device and container association consistency verification, etc.

The comparison and verification of the data point CIM/E file of the master station and the data point CIM/E file of the substation mainly adopts the abnormal data statistical verification step. Statistical verification of abnormal data refers to assuming a distribution model for a given data set (such as a collection of a certain type of attribute value in power grid operation), and then adopting an inconsistency check based on the assumed model to determine whether there is a deviation from the normal range abnormal data. Due to the extremely high requirements for data accuracy, system stability, and real-time performance of the smart grid dispatching technical support system that operates in real time, statistical verification of abnormal data plays an indispensable role. There are three methods of statistical verification of abnormal data often used in the smart grid dispatching technical support system, as follows:

(1) Threshold value discrimination method

All kinds of operating data of the smart grid dispatching technical support system have their own regular fluctuation ranges. In a certain period of time, set the maximum threshold and minimum threshold for these data with reference to the fluctuation range, and then filter the data in the interval , data greater than the maximum threshold and less than the minimum threshold can be judged as abnormal data and processed. The threshold discrimination method can filter out most abnormal data, and is mostly used in the verification of power generation, load and other data at the provincial grid level or prefecture-level cities.

(2) Horizontal comparison method

Various types of operating data of the smart grid dispatching technical support system can be collected from different sources. After setting the deviation threshold, the data value at a certain moment can be compared with the data value at the same time collected from other sources. If the data value deviation of the two sources is greater than the set threshold, it is considered that there is abnormal data, which needs to be filtered and an alarm prompt will be given in the system.

(3) Vertical comparison method

The smart grid dispatching technical support system will record the data values of various operating data at different times. After setting the deviation threshold, the data values at a certain time can be compared with the data values at the same time on the previously specified date. , if the deviation is greater than the set threshold, it is considered that there is abnormal data, which needs to be screened and an alarm will be given in the system.

When the substation sends the regularly formed data point CIM/E file to the master station through the communication channel, it will be used as the source of the data verification of the master station and the data point CIM/E file of the master station for comparison and verification, as shown in Figure 3 , including the following steps:

S31, the master station obtains the data of the substation data point CIM/E file at the same time as the data point CIM/E file that needs to be verified by itself, and performs comparison to obtain a horizontal comparison result A;

After the master station generates the data point CIM/E file of the current data source, it obtains the data of the substation data point CIM/E file at the same time according to the data point CIM/E file that it needs to verify, and converts the master station data point CIM/E file Compared with the data at the same time in the substation data point CIM/E file, the horizontal comparison result A is obtained.

S32. Comparing the horizontal comparison result A with the set horizontal maximum threshold and horizontal minimum threshold to obtain a horizontal verification result.

All kinds of operating data of the smart grid dispatching technical support system have their own regular fluctuation ranges. In a certain period of time, the horizontal maximum threshold and horizontal minimum threshold are respectively set for these data with reference to their fluctuation ranges. After obtaining the horizontal comparison result A, compare the horizontal comparison result A with the set horizontal maximum threshold and horizontal minimum threshold, if the horizontal comparison result A is greater than the horizontal maximum threshold or smaller than the horizontal minimum threshold, the horizontal verification result is : The CIM/E file of the data point to be verified by the master station is abnormal data; if the horizontal comparison result A is between the horizontal minimum threshold and the horizontal maximum threshold, the horizontal verification result is: the data point to be verified by the master station CIM/E files are normal data.

S33, the master station obtains the data of substation data point CIM/E files of multiple dates at the same time as the data point CIM/E files that it needs to verify at a certain moment, and compares them to obtain a longitudinal comparison result B;

The smart grid dispatching technical support system will record the data values of various operating data at different times. After the master station generates the data point CIM/E file of the current data source, it will check the data point CIM/E according to the data point that needs to be verified at a certain time. File, to obtain the data of the substation data point CIM/E file at the same time on the previously specified date, that is, to compare the data that needs to be verified by the master station at a certain time with the substation data point CIM/E file at the same time on multiple dates, Obtain the longitudinal alignment result B.

S34. Comparing the vertical comparison result B with the set vertical maximum threshold and vertical minimum threshold to obtain a vertical verification result.

Various types of operating data of the smart grid dispatching technical support system have their own trends. In a certain period of time, various types of operating data at the same time also have their own trends. Refer to their historical data to set vertical maximum thresholds for these data. and the vertical minimum threshold. After obtaining the vertical comparison result B, compare the vertical comparison result B with the set vertical maximum threshold and vertical minimum threshold, if the vertical comparison result B is greater than the vertical maximum threshold or smaller than the vertical minimum threshold, the vertical verification result is : The CIM/E file of the data point that needs to be verified by the master station at a certain moment is abnormal data; if the vertical comparison result B is between the vertical minimum threshold and the vertical maximum threshold, the vertical comparison result is: the master station at a certain moment The data point CIM/E file that needs to be verified is normal data.

S35, obtaining the horizontal verification result and the vertical verification result, when the horizontal verification result and the longitudinal verification result all determine that the data point CIM/E file of the main station is normal data, the normal data is displayed on the scheduling screen of the main station .

In the master station data quality optimization method oriented to the smart grid dispatching technical support system provided by the present invention, the master station opens up the service of receiving the data point CIM/E file sent by the substation, dynamically triggers the data comparison and verification function in real time, and the master station The data point CIM/E file of the substation is compared with the data point CIM/E file of the substation. Among them, data verification is divided into three types in terms of data types, which are telemetry data verification, remote signaling data verification and remote control data verification. Record. The following are detailed descriptions of the three types of data point CIM/E files.

(1) Data verification of CIM/E files of telemetry data points

Telemetry (Analog) data is mainly analog, and it is necessary to define telemetry thresholds while providing information such as data model information and data values, as a basis for verification. The specific format definition of the telemetry data point CIM/E file is shown in Table 1:

Table 1 CIM/E file format definition table for telemetry data points

(2) Data verification of CIM/E files of remote signaling data points

Remote signaling (Point) data is mainly switch, and it is necessary to provide information such as data model information and opening and closing status. The specific format definition of the remote signaling data point CIM/E file is shown in Table 2:

Table 2 CIM/E file format definition table for remote signaling data points

(3) Data verification of remote control data point CIM/E file

The remote control (DistantControl) data is mainly switch value, and it is necessary to provide information such as data model information and switch status. The specific format definition of the remote control data point CIM/E file is shown in Table 3:

Table 3 CIM/E file format definition table for remote control data points

S4, call the data sources collected by multiple communication channels, obtain the next lower priority data source as the current data source, generate the data point CIM/E file of the current data source, repeat steps S2-S3, and continue by analogy Perform comparison and verification until the data point CIM/E file of the master station is consistent with the data point CIM/E file regularly generated by the substation, and finally realize the consistency between the scheduling screen data and the field data.

When the deviation of the verification result is not within the set threshold, call the data sources collected by multiple communication channels, obtain the next lower priority data source as the current data source, and generate the data point CIM/E file of the current data source , repeat steps S2-S3, compare the data point CIM/E file of the master station with the data point CIM/E file regularly generated by the substation, and so on, until the data point CIM/E file of the master station and the regularly generated data point CIM/E file of the substation The data point CIM/E files are consistent, and finally the dispatching screen data is consistent with the field data, which improves the overall data quality of the smart grid dispatching technical support system.

If the deviation of all source data collected by multiple communication channels exceeds the set threshold, the data transmitted on the designated substation will be sent as the highest priority data point to the SCADA system and related applications, and an abnormal alarm will be sent to prompt the dispatcher.

To sum up, the master station data quality optimization method oriented to the smart grid dispatching technical support system provided by the present invention aims at data quality problems such as data inconsistency between the master station and the substation, and analyzes the data quality of the existing smart grid dispatching technical support system. Based on the improved multi-source data screening method to obtain the optimal quality data, and the data verification technology between different systems using CIM/E text as the carrier, the data point CIM/E file of the master station and the substation The regularly generated data point CIM/E files are compared and verified to minimize the data inconsistency between the main station and the substation, and improve the overall data quality of the smart grid dispatching technical support system.

The present invention aims at data quality problems such as data inconsistency between the main station (main station system) of the smart grid dispatching technical support system and substations, and provides a smart grid-oriented dispatching system on the basis of analyzing the data quality of the existing smart grid dispatching technical support system. The data quality optimization method of the master station of the technical support system. This method improves the overall data quality of the smart grid dispatching technical support system by using the improved multi-source data screening method to obtain the optimal quality data, and the data verification technology between different systems using CIM/E text as the carrier. Compared with the manual remote point-to-point method used in the past, the new data quality optimization method not only realizes the complete automation of data verification, but also saves the maintenance time of the master station of the smart grid dispatching technical support system, and at the same time minimizes part of the data of the master station and substation. Inconsistencies make the overall data quality of the smart grid dispatching technical support system significantly better than before. Practice has proved that the master station data quality optimization method provided by the present invention can effectively improve the data quality of the master station of the smart grid dispatching technical support system, thereby ensuring the safe and reliable operation of the smart grid dispatching technical support system.

The data quality optimization method for the master station oriented to the smart grid dispatching technical support system provided by the present invention has been described in detail above. For those skilled in the art, any obvious changes made to it without departing from the essence of the present invention will constitute an infringement of the patent right of the present invention and will bear corresponding legal responsibilities.

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.