CN111478440A - Topology identification system and method based on distribution transformer terminal - Google Patents
Topology identification system and method based on distribution transformer terminal Download PDFInfo
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Abstract
The invention discloses a line monitoring unit installed based on a transformer substation terminal (TTU) matched with a branch box and a meter box, wherein a fusion terminal controls the line monitoring unit to inject a sequence signal of short-time active current with obvious characteristics through a broadband carrier HP L C by a communication command, reads a sequence signal detection result of the line monitoring unit of each node on a line, reads a sequence signal detection result of the line monitoring unit (L TU) by software APP in a container running in the transformer substation terminal, and generates an automatic topology identification file in the transformer substation terminal according to the detection result, thereby realizing automatic topology identification check.
Description
Technical Field
The invention belongs to the technical field of distribution and transformation, and particularly relates to a circuit topology identification technology.
Background
In recent years, with the rapid development of power grids, the hardware facilities of distribution transformer areas are greatly improved. The marketization of the power system puts forward more refined management requirements on power utilization management departments, and the requirements on consumption reduction and loss reduction are more urgent. The line loss rate of the transformer area is reduced, so that the line loss rate of the transformer area meets the national standard and becomes an important index. In the line loss management, the topology identification of the transformer area is the most critical, the shunt subsection line loss cannot be calculated without topology, and the line loss calculation cannot be carried out on a newly added line.
At present, the topological relation of the distribution area is very disordered and mainly embodied in the following points: the topology information of the transformer area is lost, for some old transformer areas, the original stored data is lost due to long time, or the basic data cannot be updated in time after the later circuit transformation, so that the result that the data is not matched with the actual circuit is caused; the low-voltage line topology is frequently changed, on the basis of the old topology, when a user expands the capacity, a construction team randomly connects wires, and the newly-added line topology is not updated in time after the wires are connected; the private lapping of the power line by the user, especially at the junction, is more easy to cause the crossing phenomenon, and the chaos degree of the line in the transformer area is increased by the condition.
A great deal of research is also carried out on the automatic topology recognition technology of power distribution transformer areas in colleges and universities and scientific research institutions at home and abroad, and transformer area user recognition instruments are generally adopted to recognize transformer areas at present.
The method comprises the following steps: the method is characterized in that a traditional power carrier communication mode is simply adopted, a power carrier signal is generated on the low-voltage side of the distribution transformer, the power carrier signal is detected at a detected place, and if the power carrier signal can be detected, the detected point can be judged to belong to the distribution transformer area.
The second method comprises the following steps: by adopting a bidirectional reconfirmation method combining an injected high-frequency current signal and a power carrier signal, a host controls each level of measured points to inject a high-frequency current signal into a power line, the host arranged on the low-voltage side of the distribution transformer calls whether each node detects the state of the high-frequency signal, and the generation of topology is realized according to the detection condition of the state.
The third method comprises the following steps: and a signal comparison method is adopted, the phase line relation judgment is carried out by taking the electrical parameters such as reactive current, harmonic waves and the like, and the level judgment is carried out by taking the node voltage.
The method four comprises the following steps: and judging the phase line relation and the hierarchy relation by adopting an injected reactive current characteristic signal detection method and according to the detection result of the characteristic signal of each node.
The first method can only identify the line-phase sequence relation of the topology, and cannot identify the relation of each hierarchy, so that multi-hierarchy automatic topology identification cannot be realized; the high-frequency current signals injected by the method II are easily interfered by high-frequency signals of electric equipment in the transformer area, so that the identification rate depends on the actual condition of the transformer area, the usability is low, and the injected high-frequency current signals can cause leakage protection misoperation to influence the safe operation of the equipment; the third method is difficult to solve, the clock synchronism of each node of the compared signals is difficult to reach the millisecond level required by accurate identification, so that the compared characteristic signals are inconsistent in time domain and limited by the actual running conditions of different power consumption points, and if the characteristic signals compared by the power consumption points are too small, identification errors are caused or identification is difficult; and in the method IV, a mode of putting a capacitor is adopted, and reactive current signals are injected, so that 4-10 times of inrush current can be generated possibly, the switch relay protection is mistakenly operated or the user electrical appliance is in failure, and the power supply reliability is reduced and safety accidents are caused.
The research and popularization space of the four methods is limited, and the application effect needs to be further improved.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a topology identification system and method based on a distribution terminal.
The topology identification system adopts an Internet of things architecture and edge computing equipment and comprises an intelligent distribution terminal (TTU), a line monitoring unit (L TU), a container, a communication network and a topology identification program (APP).
The intelligent distribution Transformer Terminal (TTU) is an idea based on a software defined terminal and an architecture design of an open hardware platform, adopts technologies such as edge calculation, a container, the cooperation of the Internet of things and cloud edges, adopts a hardware platform and a software APP design idea, and is used as a core device at the side of the Internet of things of electric power to provide management, acquisition, communication and analysis services, realizes the full acquisition of power distribution station area data, realizes the full management and control and plug and play of low-voltage intelligent devices at the end, interacts operation data with a cloud master station in real time at the upper part, reduces the calculation pressure of the cloud master station, weakens the dependence of the current power distribution operation and maintenance management on the cloud master station, realizes the online monitoring, intelligent analysis and decision control of the operation state of a management and control area in a local manner, and supports the calculation sharing and data interaction with the cloud master station.
The line monitoring unit (L TU) comprises a JP cabinet line monitoring unit (L TU) installed on a platform area outgoing line, a branch box line monitoring unit (L TU) of a branch box outgoing line and a meter box line monitoring unit (L TU) at the tail end, an automatic topology identification signal injection module is configured to collect three-phase alternating current data of the outgoing line and the branch line, count the unbalance rate and the voltage qualification rate of the outgoing line and the branch line, monitor the positions of the outgoing line and a branch switch, locate faults and line loss of the outgoing line and the branch line, report the faults and the line loss actively in a halt and a power recovery mode, identify phases, trigger alarms such as overvoltage, voltage loss, undervoltage, overcurrent, overload, current loss, phase failure, three-phase unbalance, frequency deviation, voltage deviation and the like, report alarm information of a current node in real time, monitor power quality data, and analyze distortion rates of 1-31.
The container is a virtual independent running environment based on an L inux system, isolation of an operating system and an application program is achieved, partial physical resources of an intelligent distribution terminal (TTU) such as a CPU, a memory, a disk and network resources are divided and isolated, mutual influence of application software in the container and other containers or operating systems is shielded, the intelligent distribution terminal (TTU) supports independent running of 5 or more containers, three containers are configured and named as 1, 2 and 3 respectively, the container 1 is used for installing a topology identification application program (APP), the container 2 is used for installing a data center application program (APP), and the container 3 is used for installing an alternating current collection application program (APP).
The communication network adopts an internet of things protocol (MQTT) as a main communication protocol, adopts broadband carrier waves (HP L C) and micropower wireless, utilizes a power line as a communication medium to transmit data, forms all electric appliances connected with the power line into the communication network to carry out information interaction and communication, does not need to rewire, is simple to implement and convenient to maintain, reduces the operation cost, reduces the expenditure for constructing a new communication network, and has great convenience.
The topology identification program (APP) runs in the container, active current signals are injected one by a line monitoring unit (L TU) on a control power line through carrier communication, the active current characteristic sequence of the injected signals is not interfered by high-frequency signals of a transformer area, an active current injection mode is adopted, active current serves as a linear load, the injection time is less than 500ms, no impact and no interference are caused to devices such as transformer area electric energy quality and intelligent protection, no impact and no interference are caused to a monitored object, and the safety and reliability are high.
Each monitoring unit (L TU) detects and feeds back the characteristic sequence, a topology recognition program (APP) judges the phase line and level relation of the nodes according to the detection condition of the characteristic sequence, autonomously learns according to the recognition degrees of different sequences, automatically generates a topology file at an intelligent distribution Transformer Terminal (TTU), and checks and corrects the formed topology by adopting a topology relation checking principle.
The topology identification method of the distribution transformer terminal monitors the equipment running state of the whole low-voltage distribution network, and comprises the following steps: establishing a communication network, sending out a control command, injecting a characteristic sequence, collecting a detection result, generating a topology file, judging the change and updating and uploading.
The method is characterized in that an internet of things protocol (MQTT) is used as a main communication protocol, a broadband carrier (HP L C) and micropower wireless are adopted, a power line is used as a communication medium to transmit data, and a communication network is established among an intelligent distribution Transformer Terminal (TTU), JP cabinet line monitoring units (L TU), branch box line monitoring units (L TU) and meter box line monitoring units (L TU).
The topology identification program (APP) in the container 1 sends a command for starting topology identification, the command is written into a data center running in the container 2 through an MQTT bus, and the data center sends a communication message to the acquisition program (APP) running in the container 3 through the MQTT bus.
The topology identification program (APP) sequentially informs all levels of line monitoring units (L TU) to send specified characteristic sequence signals, all levels of line monitoring units (L TU) sequentially send the characteristic sequence signals according to instructions, specified state sequences are formed by the length and the existence of injected signals, and all line monitoring units (L TU) detect corresponding results according to the injected commands and record states.
After informing all the line monitoring units (L TU) to send the characteristic signals, the topology identification program (APP) inquires identification results of all the characteristic signals of all the lines in sequence, supplements a sequence number without response or with a certain loss or error, and writes the result into a data center of an intelligent distribution terminal (TTU) if the data is complete.
And generating a topological relation file by a topological recognition program (APP) according to all recognition results, wherein the file is in a JSON format.
And after the topology file is formed, judging whether the topology relation changes, and actively transmitting the topology relation to the cloud master station according to a judgment result.
The invention adopts a container technology, an Internet of things technology and an automatic topology recognition APP which can be remotely upgraded and iterated, monitors for a long time, solves the problem of real-time change of the topology of the transformer area, and realizes the classification and segmentation line loss monitoring and fault study and judgment of the transformer area; the method is characterized by comprising the following steps of researching an automatic platform topology identification technology of a physical link by combining the current situation and the actual demand of a distribution platform, injecting a short-time characteristic sequence signal which is free of disturbance to a power grid, utilizing the edge computing capability of an intelligent distribution terminal, and adopting a remote upgradable, iterative and low-cost software APP form; through the automatic topology identification APP running in the container, the feeder line, the branch and the terminal low-voltage topological structure are accurately identified, and the method has the advantages of algorithm and software long-distance iteration, high identification accuracy, software mode for identification, low equipment investment, low cost and the like.
Drawings
Fig. 1 is a schematic diagram of a system architecture, fig. 2 is a container relationship, fig. 3 is a feature signal injection flow, fig. 4 is a detection result acquisition flow, fig. 5 is a topology file generation process, and fig. 6 is a topology file determination process.
Detailed Description
The technical scheme of the invention is specifically explained in the following by combining the attached drawings.
The topology identification system of the distribution transformer terminal adopts an internet of things networking framework, and a monitoring range covers a low-voltage distribution network through TTU edge calculation, as shown in fig. 1, a hierarchical framework is formed by an intelligent distribution Transformer Terminal (TTU), a line monitoring unit (L TU), a container, a communication network and a topology identification program (APP).
The intelligent distribution Transformer Terminal (TTU) is an idea based on a software defined terminal and an architecture design of an open hardware platform, adopts technologies such as edge computing, a container, the cooperation of the Internet of things and cloud edges, adopts a hardware platform and a software APP design idea, and is used as a core device at the edge side of the Internet of things of electric power to provide management, acquisition, communication and analysis services, realizes the full acquisition of power distribution station area data, controls the low-voltage intelligent device at the end fully and is plug-and-play, interacts operation data with a cloud master station in real time, reduces the computing pressure of the cloud master station, weakens the dependence on the cloud master station, realizes the online monitoring, intelligent analysis and decision control of the operation state of a control area in a local manner, and supports the computing sharing and data interaction with the cloud master station.
The line monitoring unit (L TU) comprises a JP cabinet line monitoring unit (L TU) installed on a platform area outgoing line, a branch box line monitoring unit (L TU) of a branch box outgoing line and a meter box line monitoring unit (L TU) at the tail end, an automatic topology identification module is configured to collect three-phase alternating current data of the outgoing line and the branch line, the unbalance rate and the voltage qualification rate of the outgoing line and the branch line are counted, the outgoing line and branch line faults and line losses are located based on the voltage principle, active reporting is carried out when the outgoing line and the branch line are shut down and power is restored, phases are identified, alarms are triggered when overvoltage, voltage loss, undervoltage, overcurrent, overload, current loss, phase failure, three-phase unbalance, frequency deviation, voltage deviation and the like occur, alarm information of a current node is reported in real time, electric energy quality data are monitored, and 1-31 th-order harmonics, voltage.
The container is a virtual independent operation environment, is located intelligent distribution Transformer Terminal (TTU), and to the partial physical resources of terminal, such as CPU, memory, disk, network resource etc. division and isolation, shielding the application software in the container and other container or operating system's interact, intelligent distribution Transformer Terminal (TTU) sets up different container 1, 2, 3, as shown in FIG. 2, container 1 sets up automatic topology identification (APP), container 2 sets up data center (APP), container 3 sets up and exchanges acquisition program (APP).
The communication network adopts an internet of things protocol (MQTT) as a main communication protocol, adopts broadband carrier waves (HP L C) and micropower wireless, utilizes a power line as a communication medium to transmit data, forms all electric appliances connected with the power line into the communication network to carry out information interaction and communication, does not need to rewire, is simple to implement and convenient to maintain, reduces the operation cost, reduces the expenditure for constructing a new communication network, and has great convenience.
The topology identification program (APP) is arranged in the container, signals are injected into a line monitoring unit (L TU) on a control line one by one through a communication network, the signals are automatically adapted to a digital characteristic sequence with high identification rate and are not interfered by high-frequency signals of a transformer area, active current is adopted, the injection time is less than 500ms, and the device is free of interference on the electric energy quality of the transformer area, intelligent protection and the like.
Each monitoring unit (L TU) detects and feeds back the characteristic sequence, a topology recognition program (APP) judges the phase line and level relation of the nodes according to the detection condition of the characteristic sequence, autonomously learns according to the recognition degrees of different sequences, automatically generates a topology file at an intelligent distribution Transformer Terminal (TTU), and checks and corrects the formed topology by adopting a topology relation checking principle.
The topology identification method of the distribution transformer terminal adopts active current signals and realizes topology identification through software calculation, and comprises the following steps: the method comprises the steps of constructing the Internet of things, injecting a characteristic sequence, collecting a detection result and generating a topology file.
The internet of things protocol (MQTT) is used as a main communication protocol, a broadband carrier (HP L C) and micropower wireless are adopted, one of a power line and a wireless is used as a communication medium for data transmission, and as shown in figure 1, a communication network is established among an intelligent distribution Transformer Terminal (TTU), an outgoing line monitoring unit (L TU), a branch box line monitoring unit (L TU) and a meter box line monitoring unit (L TU).
The automatic topology identification (APP) in the container 1 sends a command for starting topology identification, as shown in fig. 2, the command is written into a data center (APP) running in the container 2 through an MQTT bus, and the data center sends a communication message to an alternating current collection program (APP) running in the container 3 through the MQTT bus.
The trigger sources for starting topology identification are 3: timed start, time parameter set by automatic topology identification (APP); when equipment is newly added in a transformer area, after the registration process of the equipment is completed by an intelligent distribution terminal (TTU), the equipment is automatically triggered; receiving a control command, wherein the command can come from a master station or local operation and maintenance software; automatic topology identification (APP) will issue a command to start topology identification whenever any of the 3 sources triggers.
The communication acquisition program (APP) receives a command message for starting topology identification sent by the automatic topology identification (APP), as shown in fig. 3, clears the completion flag and the failure flag of the data center (APP) about the topology identification, sends a broadcast of a time synchronization command, unifies the time scale of the whole network, selects the 1 st of 8 preset injection signal sequences, generates a communication message, and sequentially sends a control command of an injection sequence signal to each line monitoring unit (L TU) from the first line monitoring unit (L TU).
Alternating current Acquisition (APP) sequentially informs all levels of line monitoring units (L TU) to send specified characteristic sequence signals, all levels of line monitoring units (L TU) sequentially send the characteristic sequence signals according to instructions, specified state sequences are formed by the length and the existence of injected signals, and all line monitoring units (L TU) detect corresponding results according to the injected commands and record states.
The method comprises the steps that communication messages containing control commands are sent one by one through alternating current collection (APP), sequences are injected into line monitoring units (L TU), the sequences are marked as parameters N according to the sequence numbers of the transmitted line monitoring units (L TU), the total number of all the line monitoring units (L TU) is marked as N, if the N is larger than or equal to N, a topological data collection link is directly entered, and otherwise, broadcast messages containing the sequence numbers of the injected signal sequences, the sequence number parameter N of the currently injected line monitoring units (L TU) and the current time are organized and sent through a communication network.
All the line monitoring units (L TU) receive the messages, respectively analyze the messages, record the serial number of an injection signal sequence, the serial number parameter N of the currently injected line monitoring unit (L TU) and 3 parameters of the current time, set a mark of receiving the Nth control command, directly enter the detection flow of the injection signal sequence if the serial number parameter N of the currently injected line monitoring unit (L TU) is not equal to the self serial number, set the Nth command to 0 if the messages are not received, and reissue the Nth message after the AC Acquisition (APP) collects all data.
And the Nth line monitoring unit (L TU) which receives the broadcast message injects an active current signal sequence into the power grid according to the serial number of the signal sequence injected into the message, the inherent delay T1 and the characteristic 0 or 1 of the signal sequence by inputting and cutting off the built-in load for many times and keeping the time required by the sequence characteristic, wherein the injection time length is T3.
All the line monitoring units (L TU) detect the sequence injected by the Nth line monitoring unit (L TU), collect active current according to the inherent delay T2, wherein T2< T1, compare the active current with the recorded injected signal sequence, set a mark of successful sequence detection for the Nth time according to the comparison result, otherwise clear the mark, the detection time length is T4, T4> T3, and each line monitoring unit (L TU) forms a grid containing a control command mark for the Nth time and a sequence detection mark for the Nth time.
Resetting N to N +1, returning to the stage of sending control commands, and continuing to control the process of the injection sequence by the next line monitoring unit (L TU) until all L TUs complete the injection.
After informing all the line monitoring units (L TU) of sending the characteristic signals, the alternating current Acquisition (APP) inquires identification results of all the characteristic signals to each line in sequence, as shown in fig. 4, supplements a no-response or a certain lost or wrong serial number, and writes the result into a data center of an intelligent distribution terminal (TTU) if the data is complete.
The method comprises the steps that a topology identification program (APP) collects control command marks of each line monitoring unit (L TU) and grid data of topology detection results, communication messages are organized, starting from a first line monitoring unit (L TU), topology data collection commands are sequentially sent to each line monitoring unit (L TU), the serial number is marked as M, a one-to-one question-and-answer mode is adopted, the Mth line monitoring unit (L TU) receives the collection messages, grid data containing n line monitoring unit (L TU) commands and detection results of sequences are uploaded to an intelligent distribution terminal (TTU), and if no response exists in a fixed time delay T5, 3 times of no response continues, and the Mth line monitoring unit (L TU) is prompted to be abnormal in communication.
Detecting whether the signal injection command is lost to confirm whether the control command of the Mth line monitoring unit (L TU) is completely received and executed, and if not, reissuing the Mth command
And (2) analyzing the grid data of the Mth line monitoring unit (L TU) by using an alternating current Acquisition (APP), if the mark of a certain control command in the grid data is 0, which represents that the Mth line monitoring unit (L TU) of the command is not received, retransmitting the command, returning to a link of sending the control command, simultaneously adding one to the count corresponding to 0, and if the count is more than or equal to 3 times, directly prompting that the automatic topology identification fails, and moving the injected characteristic sequence number to the tail of the queue.
All control commands in the grid data of all line monitoring units (L TU) are acknowledged, meaning that all line monitoring units (L TU) have identified and detected n sequences, data is completely obtained, and analysis of the topology level begins.
The method comprises the steps that grid data of n line monitoring units (L TU) are subjected to recursive analysis by an alternating current collection (APP), as shown in FIG. 5, each grid data comprises n control commands and detection results, if a plurality of line monitoring units (L TU) receive any signal injection sequence, the line monitoring units (L TU) are judged to be on the same power line, if one line monitoring unit (L TU) of any signal injection sequence detects the grid data, and the other line monitoring unit (L TU) on the same power line does not detect the grid data, the former is a father node of the latter, after recursive sequencing, the line monitoring units (L TU) with two father nodes or child nodes are not allowed to exist, otherwise, topology automatic identification failure is prompted, and the injected characteristic serial number is moved to the tail of a queue.
Analyzing the topology identification data, generating a topology relation file according to all identification results, wherein the file is in a JSON format, an alternating current acquisition program (APP) writes the topology automatic analysis result in the JSON file format into a data center, and sends a message that the topology automatic identification is completed to the data center (APP) through an MQTT bus, the data center sends the message that the topology automatic identification is completed to an automatic topology identification (APP), the automatic topology identification (APP) receives the message that the topology automatic identification is completed, the topology automatic analysis result in the JSON file format is read from the data center (APP), as shown in figure 6, the original topology file is read, whether the topology changes or not is judged, if the topology file is not directly generated, a new topology file is generated, a topology identification completion mark is written into the data center, a topology identification failure mark is cleared, and if the original topology file exists, and analyzing the number of the nodes of the two files and whether the father node and the child node of each node are consistent, if not, deleting the original file to generate a new topology file, otherwise, completing automatic topology identification and actively uploading the topology file to the cloud master station.
The above-described embodiments are not intended to limit the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the present invention.
Claims (9)
1. A topology identification system based on a distribution transformer terminal takes a power line as a communication medium, a broadband carrier (HP L C) and micro-power wireless as communication modes, an Internet of things protocol (MQTT) as a communication protocol and all electric appliances connected with the power line form a communication network, and is characterized by comprising an intelligent distribution Transformer Terminal (TTU), a branch box line monitoring unit (L TU) installed on a branch box outgoing line, a meter box line monitoring unit (L TU) installed at the tail end of a power grid, a hierarchical architecture distributed in the communication network and the intelligent distribution Transformer Terminal (TTU), a topology identification system and a topology identification system, wherein the intelligent distribution Transformer Terminal (TTU) adopts edge computing equipment, a hardware platform and a software defined architecture design, responds to external control, collects and controls data of a distribution station area and sends the data to a cloud master station, the line monitoring unit (L TU) comprises a JP cabinet line monitoring unit (L TU) installed on the station outgoing line, a branch box line monitoring unit (L TU) installed on the branch box outgoing line, a meter box line monitoring unit (L TU) installed at the tail end of the power grid, is distributed in the communication network, and forms a.
2. The distribution transformer terminal-based topology identification system of claim 1, wherein the topology identification program (APP) comprises an automatic topology identification (APP), a data center (APP) and an alternating current acquisition program (APP), the container comprises a container 1 for installing the automatic topology identification (APP), a container 2 for installing the data center (APP), a container 3 for installing the alternating current acquisition program (APP), the automatic topology identification (APP) responds to external control and sends a command for starting topology identification to the data center (APP), the data center (APP) sends a command message to the alternating current acquisition program (APP), the alternating current acquisition program (APP) sends a command for injecting a characteristic signal to a line monitoring unit (L TU), detection results of all nodes are acquired, a topology file is generated and sent to the data center (APP), the data center (APP) sends a topology file to the automatic topology identification (APP), the automatic topology identification (APP) updates the topology file, and sends the topology file to a cloud master station.
3. The topology identification system based on distribution terminal of claim 2, wherein said characteristic signal comprises: and generating a specified state sequence according to the length and the existence, taking the active current as a characteristic sequence digital signal of a communication carrier wave, and generating a detection result through node response.
4. A topology identification method based on a distribution transformer terminal adopts a power line as a communication medium, adopts a broadband carrier (HP L C) and a micropower wireless communication mode, adopts an Internet of things protocol (MQTT) as a communication protocol, forms a communication network by all electric appliances connected with the power line, and monitors the equipment running state in the whole communication network.
5. The topology identification method based on distribution terminal according to claim 4, characterized in that said intelligent distribution terminal (TTU) responds to external control, comprising: the time parameter of timing start is set through automatic topology identification (APP) in the container 1, or the time parameter is triggered when an intelligent distribution terminal (TTU) registers a newly added device in a platform area, or a control command is sent by a cloud advocate and local operation and maintenance software, and a command for starting topology identification is sent through the automatic topology identification (APP).
6. The distribution transformer terminal-based topology identification method according to claim 4, wherein said sending a command to start topology identification to the line monitoring units (L TU) comprises sending a command to start topology identification through automatic topology identification (APP) in the container 1, writing to the data center (APP) running in the container 2, clearing the completion flag and failure flag related to topology identification, selecting one from a plurality of preset sequences, generating a communication packet, sending the communication packet to the AC acquisition program (APP) running in the container 3, and sending a control command to inject a characteristic signal to each line monitoring unit (L TU) in turn.
7. The topology identification method based on the distribution transformer terminal as claimed in claim 4, wherein the injecting of the characteristic signal into the communication network comprises that each line monitoring unit (L TU) generates a specified state sequence according to length and existence, uses active current as a characteristic sequence digital signal of a communication carrier, and sequentially sends the characteristic signal according to a control command, the total number of all line monitoring units (L TU) is recorded as N, the sequence number of the line monitoring unit (L TU) sending the characteristic signal is recorded as N, if N is greater than or equal to N, the topology identification program (APP) collects a detection result, otherwise, the characteristic signal is continuously sent, the flag of receiving the Nth control command is set as 1, if the control command is not received, the flag of receiving the Nth control command is set as 0, the Nth control command is sent in a complementary manner, the N is reset to N +1, and the command for starting topology identification is sent again until all line monitoring units (L TU) finish injecting.
8. The topology identification method based on the distribution transform terminal of claim 4, wherein the collecting of the detection results by the topology identification program (APP) includes that an Nth line monitoring unit (L TU) receiving the characteristic signal puts in or cuts off a built-in load according to the sequence number of a line monitoring unit (L TU) injecting the characteristic signal and according to a preset time delay T1 and according to the length of a state sequence in the characteristic signal and whether corresponding 1 and 0 exist, injects an active current into a power grid, the injection time length is T3, all line monitoring units (L TU) detect the active current injected by the Nth line monitoring unit (L TU), compares the active current with the recorded state sequence of the characteristic signal according to a preset time delay T2, if the same sequence is detected, sets a flag that the Nth detection is successful to 1, the detection time length is T4, sequentially inquires the detection results of the line monitoring units (L) by alternating current collection (APP), sends a topology data collection command L to each line monitoring unit, if the same sequence is detected, the detection result is equal to a count of the Nth line monitoring unit (L TU), if the corresponding line monitoring unit (T36), the complete line monitoring unit (T36), and if the corresponding line monitoring unit fails, the detection result is found by the corresponding line monitoring unit (T36, the intelligent circuit monitoring unit (T36), and if the corresponding line monitoring unit (T36) sends a report no retransmission of the topology data collection command.
9. The topology identification method based on the distribution transform terminal of claim 4, wherein the generating and updating of the topology file comprises recursively analyzing control commands and detection results of n line monitoring units (L TU) by using an AC Acquisition (APP), determining that the line monitoring units (L TU) are on the same power line if a certain characteristic signal is detected by a plurality of line monitoring units (L TU), indicating that the topology identification fails if a certain characteristic signal is detected by a certain line monitoring unit (L TU) and another line monitoring unit (L TU) of the line monitoring unit (L TU) is not detected on the same power line, prompting that the topology identification fails if a plurality of line monitoring units (L TU) of parent nodes or child nodes exist, generating a topology relation file according to the topology identification result, writing the file into the data center (APP) by using the AC acquisition program (APP), sending a message that the topology identification is completed to the data center (APP), automatically identifying whether the topology relation file is read from the data center (APP), determining whether the topology relation file is consistent with the original topology identification file, and deleting the topology identification flag indicates that the topology identification is consistent if the topology identification flag indicates that the topology identification is consistent with the original topology identification file, and the topology identification flag is not generated by the original topology identification file.
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