CN115940134A - Distribution network data analysis processing method based on fault-tolerant data - Google Patents
Distribution network data analysis processing method based on fault-tolerant data Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a distribution network data analysis processing method based on fault-tolerant data, which comprises the following steps: the data of the metering automation, the dispatching automation, the distribution network automation and the related service correlation system are collected in real time; collecting the accessed data according to different data types, wherein the data types are divided into operation data, alarm data ledger data and switch data; analyzing and processing the operating data; analyzing and processing alarm data; the method comprises the following steps of finishing the combing of station-line-variable-household-meter five-level relations by constructing a business arbitration table to realize power topology analysis; analyzing the switch action, and obtaining a range list accurate to the range of the branch line by combining the switching state of the switch with the power topological relation; comprehensively studying and judging by adopting a fault-tolerant algorithm to realize the power failure judgment of the whole line or the branch line of the line; the influence of data analysis such as wrong problem report, repeated occurrence of the same problem, missed problem report and the like on accurate decision is effectively avoided or reduced; the confidence level of the digital decision is improved.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a distribution network data analysis processing method based on fault-tolerant data.
Background
The development of various industries is closely related to electricity, and the electricity becomes one of important measurement signs of modern clean society. As such, every industry in society provides ever-increasing demands on the reliability of power supplies.
In recent years, power grid enterprises which take southern power grids and national power grids as main representatives have increased the investment in the digital direction, the power grid digital process enters a rapidly developing express way, in addition, new infrastructure projects are put into production successively, and the application of high-quality data of power grids enters a stage of actual landing officer verification. However, due to the historical problem, the power grid service system developed over the years inevitably leaves problem data with data quality problems, so that a relatively accurate power supply problem analysis result cannot be obtained according to a single system and single algorithm technology. In addition, clock jump and other hardware abnormal data in the novel electric power automatic acquisition equipment seriously affect the application effect of a universal rule and a standard algorithm of an analysis problem on solving an actual problem, the distribution network data has wide sources, the multi-source data is cooperated, but the standard is not unified, and the defect of the original data causes the influence on the accuracy of an analysis result of the power failure problem of the distribution network.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the distribution network data analysis processing method based on the fault-tolerant data is provided to solve the technical problems that distribution network data sources are wide, multi-source data are coordinated but standards are not unified, original data have flaws, the accuracy of a distribution network power failure analysis result is affected and the like. The technical scheme of the invention is as follows:
a distribution network data analysis processing method based on fault tolerant data comprises the following steps:
step 1, collecting data of metering automation, scheduling automation, distribution network automation and related service correlation systems in real time;
step 2, collecting the accessed data according to different data types, wherein the data types are operation data, alarm data ledger data and switch data;
step 3, analyzing and processing the operation data;
step 4, analyzing and processing alarm data;
step 5, finishing the combing of the station-line-transformer-household-meter five-level relation by constructing a business arbitration table to realize the electric power topology analysis;
step 6, analyzing the switch action, and obtaining a range list accurate to the branch range by combining the switching state of the switch and the power topological relation;
and 7, comprehensively studying and judging by adopting a fault-tolerant algorithm to realize line full-line or branch line power failure judgment.
The method for acquiring data in real time comprises the following steps: and directly accessing the messages of the source end or the archived logs of the object database after data analysis and storage by utilizing kafka or mqtt message middleware, or directly acquiring the messages from the archived logs generated by the source end through flinkCDC.
The operation data is current and voltage data of the power grid operation, is measurement data for describing the operation state of a measurement point, and is from a measurement automation system and a distribution network automation system; the alarm data comprises alarm data of the FTU or DTU automation device on the TTU, the load control terminal, the user side and the circuit; the alarm types comprise power failure, power restoration, voltage loss, current loss, abnormal protection actions and other abnormal signals; the account data comprises power marketing, power GIS, one-hand data of a power dispatcher and synchronous duplicate data of various automatic systems, and comprises a complete topology formed by a transformer substation, a bus, a switch, a feeder line, a transformer, a user and a related metering device; the switch data come from the dispatching system and comprise various protection actions or switch real-time opening and closing action data fed back by remote control signals.
The method for analyzing and processing the operation data comprises the following steps:
step 3.1, data analysis is carried out by taking a transformer as a basic unit, if operation data at an expected moment is not obtained after a calculation scheduling period is reached, firstly, the health state of a data channel is obtained by comparing the data scale and the change rate of incremental data obtained at the same moment, if the channel is abnormal, abnormal equipment is eliminated from abnormal data, a reference marker bit of the modified data is invalid, and if the channel is normal, a judgment bit of the operation data of the corresponding transformer is modified into a bit fault;
3.2, taking the load data of the line as a reference checking factor of the transformer abnormity, improving the decision weight of the operation data judgment by adopting a coefficient method, and not directly modifying the numerical value of the operation position;
and 3.3, after the power failure of the public transformer, the user data of the whole transformer area is lost in the same time period, the characteristics are similar to the data characteristics of the TTU, and the user range in which the user data is lost is summarized to the transformer and used as a multiplication factor to improve the weight of the running bit.
The method for analyzing and processing the alarm data comprises the following steps:
4.1, on the premise that a data channel is healthy, accepting or rejecting fault occurrence time, alarm receiving time or collection and storage time, replacing abnormal data according to the time closest to the calculated scheduling time, sorting the data according to batches at intervals of 5 minutes, and marking the data as equipment abnormal;
step 4.2, the alarm data on the DTU or the FTU feeds back transformer faults, the dynamic topological relation is obtained to determine the range of the affected transformer, and the position of the transformer alarm abnormal flag is abnormal uniformly; the TTU or the data sent by the negative control terminal describe that a single device is abnormal, and the corresponding transformer is directly alarmed to be abnormal, and the position of the abnormal flag is abnormal; the user alarm event is judged once, and if the same type of alarms exist in the same transformer area and the number of the alarms exceeds 1 fault, the corresponding abnormal position of the transformer abnormal mark is found out;
and 4.3, processing the abnormal alarm which is not received according to the normal condition, and processing the voltage loss alarm according to the power failure signal.
The power topology analysis method comprises the following steps:
step 5.1, setting a station line relationship based on a dispatching system;
step 5.2, setting a line variable relation based on a GIS system;
step 5.3, setting the relation between the transformer and the user electric meter for dynamic maintenance according to the marketing system;
and 5.4, constructing a complete station-line-change-user-table topology according to the steps 5.1-5.3.
The switch action analysis method comprises the following steps: if the bus switch trips and the interconnection switch does not act, all transformers in the whole line are marked as scheduling judgment position abnormity; if the bus switch trips and the interconnection switch is isolated, analyzing all transformers from the outgoing line of the transformer substation to the isolation switch, and marking the transformers as scheduling judgment position abnormity; and analyzing the branch line range influenced by the actual fault area according to the switch action state fed back actually when the automatic switch acts, and marking the branch line range as abnormal scheduling judgment position.
Step 7, the method for comprehensively studying and judging by adopting the fault-tolerant algorithm to realize the line whole line or branch line power failure judgment comprises the following steps:
7.1, performing preliminary judgment from three angles of operation data, alarm data and scheduling judgment, respectively modifying operation data judgment positions of the transformer, recording the operation data judgment positions as Fr and alarm abnormal zone positions as Fa and scheduling judgment positions as Fd; the validity of each bit is marked as V, and the data weight is marked as W; three signals describe transformer faultsThe reliability of the composition is equivalent, so three values of Wr, wa and Wd are defined as 1; the failure rate of the transformer is such that,
step 7.2, the probability of line full line or branch line power failure is described by the weighted average value of all transformers, and is recorded as:
T i showing the specific transformer under the selected line.
The invention has the beneficial effects that:
the method and the device have the advantages that the multi-class data are merged and aggregated, the data are selected according to different data characteristics, finally, unified decision is carried out on the merged data, the detailed data processing of data fusion is optimized, and finally, the power failure problem is accurately judged through the correlation check of the data and the algorithm decision. The method can obtain the most accurate data analysis result in the same data environment, effectively avoid or reduce the influence of data analysis such as wrong problem report, repeated same problem, missed problem report and the like on accurate decision, improve the feasible availability level of data, practically improve the application level of digitization in power grid production command, practically improve the value of data deepening application and improve the credibility level of digital decision.
The technical problems that the distribution network data source is wide, the multi-source data are cooperated but the standards are not unified, the original data have flaws, the accuracy of the power failure analysis result of the distribution network is affected and the like are solved.
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FIG. 1 is a schematic flow diagram of the process of the present invention;
fig. 2 is a schematic diagram of an embodiment of the present invention.
Detailed Description
The core thought of the invention is to analyze and refine business data based on the collected data of power grid topology and various automatic systems, realize the fusion application of cross-professional data under the fault-tolerant principle, and finally analyze the result of the analysis result data of the abnormal operation of the distribution network, and the invention specifically comprises the following steps:
step 1, acquiring real-time data
In order to ensure the effectiveness of data, data of an acquisition system, namely metering automation, scheduling automation, distribution network automation and a related service correlation system, is acquired in real time, and the step can directly access from a message at a source end or a filing log of an object database after data analysis and storage or directly acquire from the filing log generated at the source end through flinkCDC by using message middleware such as kafka, mqtt and the like, so that the latest dynamic data can be accessed in real time.
Step 2, data type collection
On the premise of uniform access of data, accessed data are collected according to different data types, four different professional domains are mainly established to store data from different systems, and the data of the same type of the different systems are uniformly collected:
and (3) operating data: the method comprises the following steps that current and voltage data of power grid operation, including ABC three-phase currents (Ia, ib and Ic), zero sequence currents In, three-phase line voltages (Uab, ucb and Uac) and three-phase voltages (Ua, ub and Uc), are measurement data which are high In effectiveness and most important In describing the operation state of a measuring point, and the source of the measurement data comprises a metering automation and distribution network automation system;
alarm data: the alarm device comprises alarm data of automatic devices such as a TTU (remote terminal Unit), a negative control terminal, a user side and an FTU/DTU (feeder terminal Unit/data transfer unit) on a line, wherein the alarm types comprise power failure, power restoration, voltage loss, current loss, abnormal protection actions and other abnormal signals, and the data are actively reported by the device and have high reliability. Due to the reasons of different installation years, multiple device manufacturers, compatible and parallel multi-version protocols and the like, the alarm conditions are not uniform, and data standardization processing needs to be carried out on data: the clock jump and the flying are replaced by the preposed receiving time, and the alarm events of 5 minutes before and after the same moment are classified into the same batch of power failure.
Standing book data: the system comprises power marketing, power GIS, power dispatching personnel one-hand data and various automatic system synchronous duplicate data, and is a complete topology mainly composed of a transformer substation, a bus, a switch, a feeder line, a transformer, a user and a related metering device.
Switching data: the method mainly comes from a dispatching system, comprises various protection actions or switch real-time opening and closing action data fed back by a remote control signal, and is an important semaphore for analyzing the running states of all lines and branch lines of a line.
Step 3, analyzing the operation data
The current and voltage data acquisition frequency acquired by the dispatching automation system is generally in the minute level, and the dispatching automation system can cover all the automation switches; the current-voltage curve data acquisition frequency acquired by the acquisition system is generally 15 minutes, and all public and special variable data are covered; the current-voltage curve of the user comes from the metering system, and the collection frequency of the current-voltage curve is the same as that of the public and private variable, but only covers part of important users.
Because the operating data is lost and the characteristics of the power failure of the power grid are consistent, the misjudgment caused by the fault of the data channel needs to be eliminated. Therefore, data analysis is performed in the basic unit of transformer.
If the running data at the expected time is not obtained after the calculation scheduling period is reached, firstly, the data scale and the change rate of incremental data are obtained from the data center Ogg and the Kaff card channel at the same time by comparing, and the data supply data volume and the data scale data total volume in the last scheduling period (30 minutes) are not changed by more than 30%, the state of the channel is judged to be healthy, otherwise, the channel is judged to be abnormal. If the channel is abnormal, the abnormal equipment is eliminated from the abnormal data, and the reference flag bit of the modified data is invalid; if the channel is normal, the operation data judgment bit of the corresponding transformer needs to be modified into a bit fault.
If the power of the whole line is cut off in the line operation data, the operation data is lost; if only the branch line is powered off, there will be a significant load fluctuation. Due to the fact that the operating data from scheduling is lack of abnormality and is often accompanied by the jumping data of the switch, the load data of the line can be used as a reference checking factor of transformer abnormality, and a decision weight coefficient of operating data judgment is influenced (improved) (the value of an operating bit is not directly modified).
After the power failure of the public transformer, the user data of the whole transformer area is lost in the same time period, the characteristics of the user data are similar to the data characteristics of TTU, and the user range of the loss of the data acquired by key users needs to be summarized to the transformer to be used as a multiplication factor to improve the weight of the operation bit.
Step 4, alarm data analysis
The alarm data is characterized by being generated only by faults, and has a negative power on determining equipment faults, and the defect that partial devices do not alarm or delay alarm, so that a computer cannot accurately divide the faults which are supposed to be recorded at the same moment into discrete data points after receiving the data.
The method mainly solves the problem of clock abnormity, and under the premise that a data channel is healthy, the method accepts or rejects fault occurrence time, alarm receiving time and acquisition and storage time, corrects abnormal data by adopting time closest to calculated and dispatched time, arranges the data in batches at intervals of 5 minutes, and marks the data as the equipment abnormity.
The alarm data on the DTU/FTU feeds back transformer faults, a dynamic topological relation needs to be acquired to determine the range of the affected transformer, and the abnormal positions of the alarm flags of the transformer are uniformly abnormal; the data sent by the TTU/negative control terminal describes that a single device is abnormal, and the corresponding transformer can be directly alarmed to be abnormal, and the position of the abnormal flag is abnormal; and (3) judging the user alarm event once, and if the same type of alarms exist in the same transformer area and the number of the alarms exceeds more than 2 (including) faults, finding out the corresponding abnormal position bit abnormality of the transformer abnormal flag.
And if the abnormal alarm is not received, processing according to the normal condition, and processing the voltage loss alarm according to the power failure signal.
Step 5, analyzing the power topology
The marketing, GIS, production and scheduling in the power grid store archive data related to power grid topology description, and each system records power grid topology archives required by the system. The invention adopts a method for combing the five-level relations of station-line-variable-user-table in a form of constructing a business arbitration table.
The method comprises the following specific steps:
the scheduling system is responsible for auditing the operation diagram of the release system, and the station-line relationship of the scheduling system is subject to the scheduling system;
the line-variable relationship is frequently adjusted in daily work, and the line-variable relationship is mainly characterized in that a drawing is marked and modified in a GIS and is scheduled, audited and released, so the line-variable relationship is based on the GIS;
the following transformer relates to daily work such as meter reading and charging, business expansion and installation, power utilization inspection and the like of marketing major, and the relation between the transformer and a user electric meter is subject to the marketing system.
According to the four-segment relation, a complete station-line-variable-user-table topology can be constructed.
Step 6, analyzing the switch action
The switch opening and closing actions are feedback given by a scheduling command and are important remote communication quantity acquired by remote control operation, and the switch opening and closing actions describe a dynamically changing line variable relation. The range list accurate to the range of the branch line can be obtained by combining the switching state of the switch and the topological relation.
If the bus switch trips and the interconnection switch does not act, all transformers in the whole line are marked as scheduling judgment position abnormity; if the bus trips, the interconnection switch is isolated, all transformers from the outgoing line of the transformer substation to the isolation switch need to be analyzed, and the transformers are marked as scheduling judgment position abnormity; and when the automatic switch acts, analyzing the branch line range influenced by the actual fault area according to the actual feedback switch action state, and marking the branch line range as abnormal scheduling judgment position.
Although the data of the switches provides an accurate and reliable criterion for decision-making, the automatic switches in many areas have a very limited coverage range due to years of power grid development, and many switches cannot normally feed back effective signal quantity, so that certain limitations are exposed.
Step 7, comprehensive study and judgment of fault-tolerant algorithm
The above steps 3, 4 and 6 respectively perform preliminary judgment from three aspects of operation data, alarm data and scheduling judgment, and respectively modify the operation data judgment position (denoted as F) of the transformer r ) The noticeAlarm abnormal flag bit (recorded as F) a ) Scheduling and position determination (denoted as F) d ). Further, the significance of each bit is denoted as V, and the data weight is denoted as W. In the present invention, it is observed that the three signals are nearly equivalent in reliability in describing the transformer fault, so W r 、W a 、W d Three values are defined as 1. Defining the weighted average value of three data bits of the transformer operation data, the alarm data and the switch data as the probability of the transformer fault, and recording the probability as follows:
the probability of line full or branch line outage is described by the weighted average of all transformers, which is recorded as:
wherein T is i Showing the specific transformer under the selected line.
In specific front-end application, corresponding functions can be designed to require a user to select an area and a line, a related transformer list is automatically analyzed in combination with the selected area (or line), and the line in the selected area (or line), a transformer power failure list and the probability of the power failure list are automatically calculated.
Claims (8)
1. A distribution network data analysis processing method based on fault tolerant data is characterized in that: the method comprises the following steps:
step 1, collecting data of metering automation, scheduling automation, distribution network automation and related service correlation systems in real time;
step 2, collecting the accessed data according to different data types, wherein the data types are operation data, alarm data ledger data and switch data;
step 3, analyzing and processing the operation data;
step 4, analyzing and processing alarm data;
step 5, finishing the combing of the station-line-transformer-household-meter five-level relation by constructing a business arbitration table to realize the electric power topology analysis;
step 6, analyzing the switch action, and obtaining a range list accurate to the branch range by combining the switching state of the switch and the power topological relation;
and 7, comprehensively studying and judging by adopting a fault-tolerant algorithm to realize line full-line or branch line power failure judgment.
2. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the method for acquiring data in real time comprises the following steps: and directly accessing the messages of the source end or the archived logs of the object database after data analysis and storage by utilizing kafka or mqtt message middleware, or directly acquiring the messages from the archived logs generated by the source end through flinkCDC.
3. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the operation data is current and voltage data of the power grid operation, is measurement data for describing the operation state of a measurement point, and is from a measurement automation system and a distribution network automation system; the alarm data comprises alarm data of the FTU or DTU automation device on the TTU, the load control terminal, the user side and the circuit; the alarm types comprise power failure, power restoration, voltage loss, current loss, abnormal protection actions and other abnormal signals; the account data comprises power marketing, power GIS, one-hand data of a power dispatcher and synchronous duplicate data of various automatic systems, and comprises a complete topology formed by a transformer substation, a bus, a switch, a feeder line, a transformer, a user and a related metering device; the switch data come from the dispatching system and comprise various protection actions or switch real-time opening and closing action data fed back by remote control signals.
4. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the method for analyzing and processing the operation data comprises the following steps:
step 3.1, data analysis is carried out by taking a transformer as a basic unit, if operation data at an expected time is not obtained after a calculation scheduling period is reached, firstly, the health state of a data channel is obtained by comparing the data scale and the change rate of incremental data obtained at the same time, if the channel is abnormal, abnormal equipment is eliminated from abnormal data, a reference marker bit of the modified data is invalid, and if the channel is normal, an operation data judgment bit corresponding to the transformer is modified into a bit fault;
step 3.2, taking the load data of the line as a reference checking factor of transformer abnormity, improving decision weight of operation data judgment by adopting a coefficient method, and not directly modifying the numerical value of an operation position;
and 3.3, after the power failure of the public transformer, the user data of the whole transformer area is lost in the same time period, the characteristics are similar to the data characteristics of the TTU, and the user range in which the user data is lost is summarized to the transformer and used as a multiplication factor to improve the weight of the running bit.
5. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the alarm data analysis processing method comprises the following steps:
4.1, on the premise that the data channel is healthy, accepting or rejecting the fault occurrence time, the alarm receiving time or the collection and storage time, replacing abnormal data according to the time closest to the calculated scheduling time, sorting the data according to the batch at intervals of 5 minutes, and marking the data as the equipment with abnormality;
step 4.2, the alarm data on the DTU or the FTU feeds back transformer faults, the dynamic topological relation is obtained to determine the range of the affected transformer, and the position of the transformer alarm abnormal flag is abnormal uniformly; the TTU or the data sent by the negative control terminal describe that a single device is abnormal, and the corresponding transformer is directly alarmed to be abnormal, and the position of the abnormal flag is abnormal; the user alarm event is judged once, and if the same type of alarms exist in the same transformer area and the number of the alarms exceeds 1, the corresponding transformer abnormal mark position abnormity is found;
and 4.3, processing the abnormal alarm which is not received according to the normal condition, and processing the voltage loss alarm according to the power failure signal.
6. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the power topology analysis method comprises the following steps:
step 5.1, setting a station line relationship based on a dispatching system;
step 5.2, setting a line variable relation based on a GIS system;
step 5.3, setting the relation between the transformer and the user electric meter for dynamic maintenance according to the marketing system;
and 5.4, constructing a complete station-line-change-user-table topology according to the steps 5.1 to 5.3.
7. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: the switch action analysis method comprises the following steps: if the bus switch trips and the interconnection switch does not act, all transformers in the whole line are marked as scheduling judgment position abnormity; if the bus switch trips and the interconnection switch is isolated, analyzing all transformers from the outgoing line of the transformer substation to the isolation switch, and marking the transformers as scheduling judgment position abnormity; and analyzing the branch line range influenced by the actual fault area according to the switch action state fed back actually when the automatic switch acts, and marking the branch line range as abnormal scheduling judgment position.
8. The distribution network data analysis and processing method based on fault tolerant data according to claim 1, characterized in that: step 7, the method for comprehensively studying and judging by adopting the fault-tolerant algorithm to realize the power failure judgment of the whole line or the branch line of the line comprises the following steps:
7.1, performing preliminary judgment from three angles of operation data, alarm data and scheduling judgment, respectively modifying operation data judgment positions of the transformer, recording the operation data judgment positions as Fr and alarm abnormal zone bits as Fa and scheduling judgment positions as Fd; the validity of each bit is marked as V, and the data weight is marked as W; the credibility of the three signals in describing the transformer fault is equivalent, so three values of Wr, wa and Wd are defined as 1; the failure rate of the transformer is:
step 7.2, the probability of line full line or branch line power failure is described by the weighted average value of all transformers, and is recorded as:
T i showing the specific transformer under the selected line.
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