CN104393674A - Intelligent transformer station electronic mutual inductor state monitoring system and method - Google Patents

Abstract

The invention discloses a state monitoring system and method for electronic transformers in intelligent substations. By monitoring and analyzing SV sampling data of electronic transformers, the abnormal conditions of electronic transformers in actual operation are diagnosed through criteria and characteristic values; Record the SV sampling data of electronic transformers, and establish a historical database for effectively evaluating the operation status of electronic transformers. This method performs real-time SV collection, analysis, diagnosis and alarm and data storage for electronic transformers in operation in smart substations, timely discovers and records abnormalities in the sampling data of electronic transformers in operation, and takes necessary measures to reduce or even avoid them. Serious consequences caused by protection malfunction or refusal to operate; analyzing the recorded electronic transformer sampling data can study the actual operating conditions of the electronic transformer, provide data support for the improvement of the electronic transformer, and provide secondary The condition-based maintenance of equipment provides data basis.

Description

A smart substation electronic transformer status monitoring system and method

technical field

The invention belongs to the technical field of intelligent substations, and in particular relates to a system and method for state monitoring of electronic transformers in intelligent substations based on SV data.

Background technique

Research on electronic transformers in my country started in the 1970s, and electronic transformers developed by many units have been connected to the grid for 10-750kV power systems. Some electronic transformers produced by foreign companies such as ALSTOM, NxtPhase, SDO, ABB, and SIEMENS are also connected to the grid. Since 2010, the State Grid Corporation has begun to pilot the application of various types of electronic transformers in smart substations around the country. In terms of types, current transformers mainly include: all-fiber type, magneto-optical glass type, and Rogowski coil type; voltage transformers mainly include: resistance-capacitance voltage divider type, capacitor voltage divider type, and inverse piezoelectric type.

Judging from the current pilot situation of electronic transformers in China, the reliability and stability of electronic transformers are poor, and the failure rate is relatively high during operation. According to statistics, by the end of 2011, there were 138 failures of electronic current transformers of 110 (66) kV and above in the State Grid Corporation of China system; 51 failures of electronic voltage transformers of 110 (66) kV and above. When the transformer fails, it will directly affect the control and protection system, and even cause the protection and safety automatic devices to malfunction, and the consequences are very serious.

At present, smart substations generally use Rogowski coil current transformers and capacitor voltage divider voltage transformers. These two types of transformers mainly face the following risks: Rogowski coil current transformers generate large data due to equipment instability and abnormal transmission, resulting in Protection maloperation; Rogowski coil current transformer is affected by VFTO (fast transient overvoltage) when the switch knife is drawn, resulting in output current error exceeding the limit, causing protection misoperation; voltage transformer due to changes in circuit parameters, resulting in voltage transmission changes Inaccurate, in severe cases, it may lead to self-cutting malfunction; due to the unstable equipment of electronic transformers, abnormal situations such as loss of sampling values and unstable sampling intervals occur, causing protection lockout or alarming. At present, the monitoring of electronic transformers at home and abroad is limited to the self-test inside the electronic transformer, such as temperature, humidity, chip self-test, etc. The abnormal large data or the decrease in accuracy of the electronic transformer sampling values seriously affect the power system. The problem of safe and reliable operation lacks the necessary monitoring means, and it can only be discovered after the protection is malfunctioned.

Contents of the invention

The purpose of the present invention is to provide a state monitoring system for electronic transformers in intelligent substations to solve the problem that the existing electronic transformers cannot monitor their abnormal sampling or precision drop, which affects the safe and reliable operation of the power system. The monitoring method of the monitoring system.

In order to achieve the above objectives, the technical solution adopted by the present invention is: a state monitoring system for electronic transformers in smart substations, the system includes a recording unit and a management unit for receiving and displaying information from the recording unit, the recording unit It includes a data acquisition module for collecting the SV data of the electronic transformer in the smart substation sent by the merging unit, a data processing module for processing the data, and a data processing module for processing and calculating the SV data, alarms, and characteristic value information. Stored data file storage module and database and a communication service module for communicating with the management unit, the management unit includes a monitoring and analysis system for receiving and retrieving information from the recording unit for analysis, storage and display, and a monitoring and analysis system for performing Configuration module for configuration.

The recording unit also includes a message center module for internal communication and a time synchronization module for time stamping the SV data.

The data processing module includes a sequentially connected data filtering submodule for selecting the required SV data, a data synchronization submodule for synchronizing the selected data, and a data synchronization submodule for calculating the synchronized data Compute submodule.

The configuration module includes an ICD configuration tool and an engineering configuration tool.

The technical solution adopted by the electronic transformer state monitoring method in the intelligent substation of the present invention is: the method includes the following steps:

(1) Collect the SV data of the electronic transformer in the smart substation sent by the merging unit;

(2) After processing the collected SV data, perform eigenvalue calculation and criterion calculation. When it is judged that the SV data of the electronic transformer is abnormal, trigger transient wave recording, alarm and count the number of triggers, and save the SV according to the set time length Data, update the feature value data according to the set period.

The calculation of the criterion includes the SV data single-point distortion criterion and the SV data inconsistency criterion, the SV data single-point distortion criterion compares each SV data before and after, and when a certain SV data is abnormal, the transient recording is triggered ;The SV data inconsistency criterion is to compare the specified two channels of SV data according to the configuration, calculate and compare the root mean square value once per cycle of the two channels of SV data, and trigger when the difference between the two channels meets the set conditions Transient recording.

The eigenvalue calculation is to calculate the sequence component, bus differential current, and transformer differential current based on the SV data of the cycle, and store the eigenvalues and refresh them regularly; the sequence component calculation is to calculate the positive sequence component and negative sequence component based on the three-phase SV data of the cycle. Sequence component and zero sequence component; the calculation of bus differential current is based on the SV data of all incoming/outgoing lines of the cycle bus, and after accumulation, the effective value of the fundamental wave is calculated to obtain the characteristic value of the differential current of the bus; the calculation of transformer differential current is based on the SV data of each cycle transformer For the SV data on each side of the transformer, first, according to the voltage transformation ratio and current transformation ratio of each side of the transformer, the balance coefficient of each side is calculated based on a certain side, and then the current of each phase on each side of the transformer is converted according to the balance coefficient of each side and the wiring mode of each side of the transformer. Finally, the eigenvalue of the differential current of the transformer is obtained.

The processing of collected SV data includes data filtering and data synchronization. Data filtering is to filter data according to the project configuration and select the required SV data. Data synchronization is to synchronize the selected SV data. When judging the synchronization of SV data, use The serial number in the SV data is synchronized, and when it is judged that the SV data is not synchronized, the data is synchronized according to the receiving time.

The engineering configuration is to select and configure the channels by importing SCD information or manual configuration, and configure the transformation ratio and rated value of the electronic transformer of the smart substation, as well as the relevant parameters of the line, bus differential and transformer where it is located.

The intelligent transformer substation electronic transformer state monitoring system and method of the present invention, by monitoring and analyzing the SV sampling data of the electronic transformer, diagnosing the abnormal situation of the electronic transformer in actual operation through the criterion and characteristic value; by recording the electronic transformer The SV sampling data of the transformer is used to establish a historical database for effectively evaluating the operation status of the electronic transformer. This method performs real-time SV collection, analysis, diagnosis and alarm and data storage for electronic transformers in operation in smart substations, timely discovers and records abnormalities in the sampling data of electronic transformers in operation, and takes necessary measures to reduce or even avoid them. Serious consequences caused by protection malfunction or refusal to operate; analyzing the recorded electronic transformer sampling data can study the actual operating conditions of the electronic transformer, provide data support for the improvement of the electronic transformer, and provide secondary The condition-based maintenance of equipment provides data basis.

Description of drawings

Fig. 1 is a schematic diagram of a state monitoring system for an electronic transformer in a smart substation according to the present invention.

Detailed ways

The present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

Figure 1 is a schematic diagram of the status monitoring system of electronic transformers in smart substations. It can be seen from the figure that the system includes a recording unit 1 and a management unit 2. A data acquisition module 5 of SV data, a data processing module for processing data, a data file storage module 10 and a database 9 for storing SV data after processing calculations, warnings and feature value information, and a database 9 for processing and management The communication service module 12 for unit communication; the management unit 2 includes a monitoring and analysis system 12 for receiving, retrieving and storing and displaying the information of the recording unit, and a configuration module for configuration.

The recording unit 1 also includes a message center module 11 for internal communication and a time synchronization module 4 for marking the SV data; the data processing module includes a sequentially connected data filtering sub-module for selecting the required SV data 6. A data synchronization submodule 7 for synchronizing the selected data and a data calculation submodule 8 for calculating the synchronized data.

The recording unit 1 communicates internally through the message center 11 . The recording unit 1 is mainly responsible for collecting the SV data of the electronic transformer of the smart substation sent by the merging unit; filtering the SV data according to the configuration; synchronizing the filtered SV data; performing characteristic value calculation and criterion for the synchronized SV data Calculation, when the trigger condition of the criterion is met, the transient data recording is started, the SV data is saved according to the set time length, the alarm and the number of triggers are counted; the characteristic value data is updated to the real-time database according to the set period; check information.

The management unit 2 is mainly responsible for receiving information from the recording unit 1; real-time display of data and information; query and statistics of historical data and information; query and statistics of characteristic value historical curves; offline analysis of data.

The configuration module includes an ICD configuration tool 14 and an engineering configuration tool 3 . Engineering configuration 3 is to select and configure channels by importing SCD information or manual configuration, and configure the transformation ratio, rated value and related parameters of the line, bus differential and transformer of the intelligent substation electronic transformer. The ICD tool 14 generates an ICD file according to the configuration, and imports a CID file.

The present invention also provides a method for monitoring the state of an electronic transformer in a smart substation, the method comprising the following steps:

(1) Collect the SV data of the electronic transformer in the smart substation sent by the merging unit: the data collection module 5 is responsible for collecting the SV data from the optical port, and time stamps the SV data according to the signal of the time synchronization module 4 .

(2) After processing the collected SV data, perform eigenvalue calculation and criterion calculation. When it is judged that the SV data of the electronic transformer is abnormal, trigger transient wave recording, alarm and count the number of triggers, and save the SV according to the set time length Data, update the feature value data according to the set period.

The collected SV data processing includes data filtering and data synchronization. The data filtering sub-module 6 performs data filtering according to the configuration to select the required SV data; the data synchronization sub-module 7 synchronizes the selected SV data. When the SV data is not synchronized, the data is synchronized according to the receiving time when it is determined that the SV data is not synchronized.

The data calculation sub-module 8 performs criterion calculation and feature value calculation on the synchronized SV data. Criterion calculation includes SV data single-point distortion criterion and SV data inconsistency criterion. SV data single-point distortion criterion compares each SV data before and after. The SV data is stored as a COMTRDE data file, and the number of triggers is counted, and the statistics are stored in the database 9; the SV data inconsistency criterion is to compare the specified two-way SV data according to the configuration, and calculate and compare once per week according to the two-way SV data Its root mean square value, when the difference between the two satisfies the set conditions, the transient recording is triggered, the SV data is stored as a COMTRDE data file, and the number of triggers is counted, and the statistics are stored in the database9.

When the SV data is stored in the data file storage module 10, the SV data is recorded according to the set duration and sampling frequency, and the highest sampling frequency is determined by the actual sampling frequency of the SV data.

The eigenvalue calculation is to calculate the sequence component, bus differential current, and transformer differential current based on the SV data in each cycle, and refresh the eigenvalue database 9 every hour. The calculation of the sequence component is to calculate the positive sequence component, negative sequence component, and zero sequence component based on the three-phase SV data of the cycle wave; the calculation of the bus differential current is based on the SV data of all incoming/outgoing lines of the cycle bus, and after accumulation, calculate the effective value of the fundamental wave , to obtain the characteristic value of the differential current of the bus; the calculation of the differential current of the transformer is based on the SV data of each side of the cycle transformer, firstly according to the voltage transformation ratio and current transformation ratio of each side of the transformer, and taking a certain side as the reference, calculate the balance coefficient of each side, and then according to The balance coefficient of each side and the wiring mode of each side of the transformer are converted into the current of each phase on each side of the transformer, and finally the characteristic value of the differential current of the transformer is obtained.

The IEC 61850 communication service module 12 sends alarm information, transient start information, and data to the management unit 2 according to the model. The monitoring and analysis system 13 receives and retrieves the information of the recording unit, including device self-inspection alarm information, transient event information, and data information, and stores them; inquires and counts historical information; displays data, real-time curves, historical curves, etc.; Professional offline analysis.

The above embodiments are only used to help understand the core idea of the present invention, and cannot limit the present invention with this. For those skilled in the art, any modification or equivalent replacement of the present invention based on the idea of the present invention, in the specific implementation mode and application scope Any changes made above should be included within the protection scope of the present invention.

Claims (9)

1. an intelligent substation electric mutual inductor condition monitoring system, it is characterized in that: this system comprises record cell and carries out for the information that receives from record cell the administrative unit that shows, described record cell comprises the data acquisition module for gathering the intelligent substation electronic mutual inductor SV data sent on merge cells, for the data processing module processed data, for to process calculate after SV data and alarm, characteristic value information carries out the data file memory module that stores and database and for the Communications service module with administrative unit communication, described administrative unit comprises for receiving, transfer the information of record cell and analyze, store, the monitoring analysis system of display and the configuration module for being configured.

2. intelligent substation electric mutual inductor condition monitoring system according to claim 1, is characterized in that: described record cell also comprises message center module for carrying out internal communication and for being module during target pair when SV data are beaten.

3. intelligent substation electric mutual inductor condition monitoring system according to claim 1 and 2, is characterized in that: described data processing module comprise connect in turn the data filtering submodule for the SV data picked out, for carrying out synchronous data syn-chronization submodule and the data calculating sub module for calculating the data after synchronous to the data after selecting.

4. intelligent substation electric mutual inductor condition monitoring system according to claim 3, is characterized in that: described configuration module comprises ICD configuration tool and engineering configuration tool.

5. an intelligent substation electric mutual inductor state monitoring method, is characterized in that, the method comprises the steps:

(1) the SV data of the intelligent substation electronic mutual inductor sent on merge cells are gathered;

(2) to carrying out characteristic value calculating and criterion calculating after the SV data processing gathered, when judging the SV data exception of electric mutual inductor, trigger transient state record ripple, alarm also adds up triggering times, preserve SV data, according to setting cycle regeneration characteristics Value Data according to setting-up time length simultaneously.

6. intelligent substation electric mutual inductor state monitoring method according to claim 5, it is characterized in that: described criterion calculates and comprises SV data single-point distortion criterion and the inconsistent criterion of SV data, SV data single-point distortion criterion is carried out front and back to each SV data and is compared, when certain SV data exception, namely trigger transient state record ripple; The inconsistent criterion of SV data compares the two-way SV data of specifying according to configuration, calculates, more once its root mean square value according to the every cycle of two-way SV data, when difference value between the two meet impose a condition time, namely trigger transient state record ripple.

7. the intelligent substation electric mutual inductor state monitoring method according to claim 5 or 6, it is characterized in that: it is calculate order components, bus difference stream, transformer difference stream at every cycle according to SV data that characteristic value calculates, and stores and periodic refreshing characteristic value; Order components calculating calculates positive sequence component, negative sequence component, zero-sequence component according to the three-phase SV data of a cycle; Bus differential current computing is the SV data according to all entry/exit lines of a cycle bus, after cumulative, calculates first-harmonic effective value, obtains bus difference stream characteristic value; Transformer differential current computing is the SV data according to one week each side of wave transformer, first according to transformer each side voltage change ratio, ER effect ratio, with certain side for benchmark, calculate each lateral balance coefficient, then according to each lateral balance coefficient, each phase current in transformer each side mode of connection conversion each side of transformer, transformer difference stream characteristic value is finally obtained.

8. intelligent substation electric mutual inductor state monitoring method according to claim 5, it is characterized in that: data filtering, data syn-chronization are comprised to the SV data processing gathered, data filtering carries out data filtering according to engineering configuration, picks out the SV data of needs; Data syn-chronization carries out synchronously to the SV data after selecting, and when judging SV data syn-chronization, carries out synchronously with the sequence number in SV data, when judging that SV data are synchronous, then carries out data syn-chronization according to time of reception.

9. intelligent substation electric mutual inductor state monitoring method according to claim 8, it is characterized in that: engineering configuration is by importing SCD information or manual configuration, passage is selected and is configured, the relevant parameter of the circuit at the no-load voltage ratio of configuration intelligent substation electric mutual inductor, rated value and place, female poor, transformer.