CN-122020615-A - Method and system for processing frequent change of substation monitoring data

CN122020615ACN 122020615 ACN122020615 ACN 122020615ACN-122020615-A

Abstract

A method and a system for processing frequent change of transformer substation monitoring data comprise the steps of calculating a configuration limit value set by corresponding data types according to a device dynamic abnormality threshold value and data dynamic abnormality threshold values of different data types, acquiring uploading times of each data of the different data types in a configuration period in real time, judging that the data change frequently if the uploading times of the data exceeds the configuration limit value of the corresponding data types, dividing the data processing period into a plurality of time slices, selecting one frame of data for each time slice according to the corresponding data types, the values of the data of all frames in the corresponding time slices and the time at which the frames are located, and storing the corresponding data stored in the last time slice in a real-time database when the data processing period is finished. The intelligent level and the operation reliability of the transformer substation monitoring system are remarkably improved.

Inventors

JIANG KAIJI
XU JIAYAN
LI KUN
LIU GANG
FANG PING
WANG SHENQIANG
YAN ZHENYI
YU BIN

Assignees

北京四方继保工程技术有限公司
北京四方继保自动化股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (11)

1. A method for frequent change processing of substation monitoring data, comprising: Calculating a dynamic abnormality threshold of the equipment according to the abnormality times of the equipment in each period in the period before the current moment, and calculating a dynamic abnormality threshold of the data corresponding to the data type according to the change times of all the data of different data types in each period in the period before the current moment, wherein the data type comprises remote signaling data and telemetry data; Acquiring the uploading times of each data of different data types in a configuration period in real time, judging that the data is frequently changed if the uploading times of the data exceeds the configuration limit value of the corresponding data type, and adding a frequent change mark and an alarm shielding quality code if the communication quality code of the frequently-converted data does not have the frequent change mark; Dividing the data processing period into a plurality of time slices, and for each time slice, selecting and storing the data of one frame by combining the corresponding data type, the values of the data of all frames in the corresponding time slice and the moment of the frame; if the data is not changed frequently, detecting whether the communication quality code of the corresponding data has a frequent change mark, if so, removing the corresponding frequent change mark and the alarm shielding quality code, and if not, normally inputting the corresponding data into a real-time library.
2. The method for frequent change processing of substation monitoring data according to claim 1, wherein: The dynamic anomaly threshold of the equipment is specifically: And dividing the abnormal times of the equipment in all the time periods in the set period before the current time by the quotient of the duration of one time period and the configuration period, and carrying out weighted summation according to the set weight, wherein the set weight of the corresponding time period which is closer to the current time is larger, and the weighted summation result is the dynamic abnormal threshold value of the equipment.
3. The method for frequent change processing of substation monitoring data according to claim 2, wherein: The data dynamic anomaly threshold value of the corresponding data type is specifically: And dividing the number of data changes of the corresponding data types of all time periods in the set period before the current moment by the quotient of the duration of one time period and the configuration period, and carrying out weighted summation according to the set weight, wherein the weight of each time period is the same as the weight of the dynamic anomaly threshold of the computing equipment, if the weighted summation result is smaller than or equal to the set first threshold, the dynamic anomaly threshold of the data corresponding to the data types is the first threshold, if the weighted summation result is larger than the set first threshold and smaller than the set second threshold, the dynamic anomaly threshold of the data corresponding to the data types is the weighted summation result, and if the weighted summation result is larger than or equal to the set second threshold, the dynamic anomaly threshold of the data corresponding to the data types is the second threshold.
4. A method for frequent change processing of substation monitoring data according to claim 3, wherein: the configuration limit value set by the corresponding data type is calculated according to the equipment dynamic abnormality threshold value and the data dynamic abnormality threshold values of different data types, specifically: Setting an initial threshold value of equipment and an initial threshold value of a corresponding data type; The initial threshold value of the equipment, the initial threshold value of the corresponding data type, the dynamic abnormality threshold value of the equipment and the dynamic abnormality threshold value of the corresponding data type are weighted and summed according to the set weight to obtain a set configuration limit value of the corresponding data type; The initial threshold value of the device is equal to the weight of the dynamic abnormality threshold value of the device, and the initial threshold value of the corresponding data type is equal to the weight of the dynamic abnormality threshold value of the corresponding data type.
5. The method for frequent change processing of substation monitoring data according to claim 1, wherein: the uploading times of each data of different data types in the configuration period are obtained in real time, and the uploading times are specifically as follows: When the remote signaling data and the remote sensing data are received, unique identifiers of the remote signaling data and the remote sensing data are obtained, the unique identifiers are converted into indexes through a hash algorithm, and the indexes are numbers corresponding to the remote signaling data and the remote sensing data.
6. A method for frequent change processing of substation monitoring data according to claim 3, wherein: The dividing the data processing period into a plurality of time slices specifically comprises: for different types of data, the data dynamic abnormality threshold value corresponding to the data type is taken as the total number of time slices, and the data processing period is evenly divided.
7. The method for frequent change processing of substation monitoring data according to claim 1, wherein: for a remote signaling signal, selecting data of one frame for storage, specifically: acquiring whether the data of each frame in the time slice is changed compared with the previous frame, and selecting the data closest to the middle time of the time slice from all the changed data to store; if the data of all frames in the last time slice is unchanged, the corresponding data stored in the last time slice is the corresponding data stored in the last time slice, and if the data of all frames in the last time slice is unchanged, the corresponding data stored in the last time slice is the corresponding data stored in the time slice until the corresponding data stored in the time slice with the changed data of the frames is obtained.
8. The method for frequent change processing of substation monitoring data according to claim 1, wherein: for telemetry signals, data of one frame is selected for storage, specifically: Multiplying the absolute value of the difference between the time corresponding to the current frame and the time when the time slice starts by the absolute value of the difference between the time corresponding to the current frame and the time when the time slice ends as a time factor; And multiplying the time factor by the absolute value of the difference between the value of the telemetry signal which is frequently changed and corresponds to the current frame and the telemetry signal which is stored in the real-time library in the last data processing period, and selecting the signal to be measured of the corresponding frame with the largest calculation result as the signal stored in the corresponding time slice.
9. A system for frequent change processing of substation monitoring data based on the method of any one of claims 1 to 8, comprising a configuration limit calculation module, a frequent change data judgment module, a data selection module and a shielding release module, wherein: The configuration limit value calculation module is used for calculating a device dynamic abnormality threshold value according to the abnormality times of the device in each period in the period before the current moment, calculating a data dynamic abnormality threshold value of the corresponding data type according to the change times of all data of different data types in each period in the period before the current moment, wherein the data types comprise remote signaling data and telemetry data; The frequent change data judging module is used for acquiring the uploading times of each data of different data types in a configuration period in real time, judging that the data is frequently changed if the uploading times of the data exceeds the configuration limit value of the corresponding data type, and adding a frequent change mark and an alarm shielding quality code if the communication quality code of the frequently-converted data does not have a frequent change mark; the data selecting module is used for dividing the data processing period into a plurality of time slices, and selecting one frame of data to store according to the corresponding data type, the values of the data of all frames in the corresponding time slices and the moment of the frame for each time slice; and the shielding releasing module is used for detecting whether the communication quality code of the corresponding data has a frequent change mark or not if the data is judged to have no frequent change, removing the corresponding frequent change mark and the alarm shielding quality code if the communication quality code of the corresponding data has the frequent change mark, and normally inputting the corresponding data into the real-time library if the communication quality code of the corresponding data has no frequent change.
10. An apparatus comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor realizes the steps of the method according to any of claims 1 to 8.

Description

Method and system for processing frequent change of substation monitoring data Technical Field The invention belongs to the field of power system automation, in particular to a transformer substation monitoring system with frequent data change in a large transformer substation. Background In the power system, the transformer substation is an indispensable key part and bears important tasks of electric energy adjustment, conversion, redistribution and scheduling, and plays an extremely important role in the safe and stable operation and economic benefit improvement of the whole power system. The transformer substation monitoring system is the basis of safe, stable and reliable operation of the transformer substation, and realizes the functions of operation control, event recording, accident alarming and the like by remote measurement, remote signaling data acquisition and parameter monitoring and by remote control and remote regulation. Substation monitoring is performed on real-time data acquisition such as telemetry, remote signaling and the like to a second level. However, under the condition that the primary equipment participating in distributing the electric energy and the secondary equipment for collecting and processing the data are abnormal, the telemetry and telemetry data collected by the communication protocol layer of the transformer substation monitoring system can be frequently changed and uploaded, for example, the telemetry is shifted for tens of times or hundreds of times in one second, and the telemetry data can be changed for hundreds of times in one second. In addition, each remote signaling deflection generates an alarm, alarm data is required to be sent to other nodes, the network traffic caused by each alarm is 4KB, and the network traffic of the remote signaling deflection is 100bits. In such an abnormal situation, the network load multiplication can be overwhelming for the system and even cause the network to crash. When the single telemetry change or remote signaling deflection acquired by the substation monitoring system reaches more than ten times per second, network data volume between nodes of the substation monitoring system is increased, and serious consequences include serious exceeding of CPU, memory and network occupation of each node host, full accumulation of invalid alarm information in a real-time alarm window, host downtime caused when serious, and incapability of monitoring and controlling normal operation of the substation by operators on duty. In this case, most system countermeasures are to mask these error signals from entering the system, which would result in the monitoring personnel not being able to grasp the error signal situation in real time, even if the error signal has recovered. Disclosure of Invention In order to solve the defects in the prior art, the invention provides a method and a system for processing frequent changes of substation monitoring data, which solve the problems that the traditional substation monitoring system causes serious exceeding of CPU, memory and network occupation of each node host computer due to frequent changes, and the real-time alarm window is piled up with invalid alarm information, and the host computer is down when serious, and operators on duty cannot monitor and control normal operation of the substation. The invention adopts the following technical scheme. The first aspect of the invention provides a method for processing frequent changes of substation monitoring data, which comprises the following steps: Calculating a dynamic abnormality threshold of the equipment according to the abnormality times of the equipment in each period in the period before the current moment, and calculating a dynamic abnormality threshold of the data corresponding to the data type according to the change times of all the data of different data types in each period in the period before the current moment, wherein the data type comprises remote signaling data and telemetry data; Acquiring the uploading times of each data of different data types in a configuration period in real time, judging that the data is frequently changed if the uploading times of the data exceeds the configuration limit value of the corresponding data type, and adding a frequent change mark and an alarm shielding quality code if the communication quality code of the frequently-converted data does not have the frequent change mark; Dividing the data processing period into a plurality of time slices, and for each time slice, selecting and storing the data of one frame by combining the corresponding data type, the values of the data of all frames in the corresponding time slice and the moment of the frame; if the data is not changed frequently, detecting whether the communication quality code of the corresponding data has a frequent change mark, if so, removing the corresponding frequent change mark and the alarm shielding quality code, and if not, normally inputting t