CN113011999A - Multi-tree model-based rapid implementation method for power distribution automation power failure research and judgment - Google Patents
Multi-tree model-based rapid implementation method for power distribution automation power failure research and judgment Download PDFInfo
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Abstract
The invention discloses a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model, and belongs to the technical field of power supply systems. The method comprises the following steps: s1, establishing a feeder network topology schematic diagram according to the actual distribution network in the distribution automation system; s2, combining with a model design configuration tool, abstract modeling is carried out on a certain power branch feeder or a plurality of independent feeder branches with a certain relation to form a plurality of inverted tree-shaped feeder networks; s3, carrying out power failure research and judgment on the multi-branch feeder system, and triggering the construction or reconstruction process of each feeder network model; and S4, analyzing and counting according to the feeder branch tree model established by the feeder network model. The criterion source of the power failure research and judgment system not only uses the information of the current stably-operated distribution system, but also more fully combines the distribution transformation data in the power utilization system, so that the research and judgment has the characteristics of sufficient criterion, comprehensive analysis, strong real-time performance and high accuracy.
Description
Technical Field
The invention belongs to the technical field of power supply systems, and particularly relates to a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model.
Background
With the development of social economy, the dependence on electricity is increased, and the influence of power failure on production and life of customers is larger and larger. For a long time, when a power supply line fails, before the power supply line enters a site for emergency repair after reporting the failure, the failure information only depends on the description of a user and the confirmation of emergency repair personnel after arriving at the site, and the failure source and the related equipment information cannot be analyzed and accurately positioned, that is, the type of the failure, the range of the influence and the like cannot be accurately judged in time. The power failure research and judgment system is based on basic information such as a power grid model, real-time power grid operation data, equipment information and user information, analyzes received power failure information (distribution network fault information such as switching action information and distribution transformer alarm information, customer repair information and planned power failure information) by combining related data of a GIS (geographic information system) and a power utilization information acquisition system, and establishes accurate association among lines, distribution transformers and low-voltage users by classifying, associating, abnormity and clustering the data.
1) The chinese patent discloses an intelligent optimized distribution transformer power failure research and judgment system (patent application number: CN201710604232.1), including an intelligent distribution transformer shutdown system, a production management system, a distribution automation system, an intelligent scheduling management system, an energy management system, an electricity utilization information collection system and a low-voltage switch state monitoring system. The system acquires multi-source data effective information from an energy management system, an intelligent scheduling management system, a production management system, an electric power scheduling auxiliary decision-making system and an electricity utilization information acquisition system, screens and discriminates abnormal power failure events by utilizing a big data technology, classifies the power failure events through a distribution transformer outage type mathematical model, pushes corresponding outage work orders and emergency repair strategies aiming at different types of distribution transformer outage events, reduces power failure time and improves electricity utilization satisfaction of users.
2) The chinese patent discloses a method for automatically studying and judging power failure based on power distribution internet of things (patent application number: CN201911408683.3), based on reporting of power failure events of the distribution transformer and recall and test of the running state of the distribution transformer, associating the topological relation of the line, including steps of S1 establishing a line model, S2 setting a decision logic, S3 data information source and S4 generating an automatic power failure study and judgment method, wherein the step of S1 establishing the line model includes steps of S101 establishing a general basic line model, S102 establishing a branch line combination model and S103 establishing a branch line model; the steps of establishing a line model through S1, setting judgment logic through S2, generating an automatic power failure research and judgment method through S3 data information source and S4 and the like realize timely acquisition of line power failure information.
Although the above two patent technologies have conducted some research and study on the power failure of the distribution automation system, they mainly focus on the concept of power failure study and judgment, system application, system principle, and the like. In a power distribution automation system, power failure study and judgment are an important functional module. Generally, a feeder network topological graph is formed on a power distribution network, the feeder network is also displayed on a human-computer interface, and then, the electrification or power loss of each device is colored to prompt the electrification or power loss state of each node device in the network. In the prior art, the implementation design and development research of the power failure research and judgment is simple, deep and less in related documents. Therefore, the power failure research and judgment system based on the distribution network data and the negative control data effectively solves the technical difficulties, provides powerful technical support for stable operation of a power supply system, improves the research and judgment accuracy of a power failure area, accelerates the first-aid repair speed of maintainers, and improves the satisfaction degree of customers.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model comprises the following steps:
s1, establishing a feeder network topology schematic diagram according to the actual distribution network in the distribution automation system;
s2, combining with a model design configuration tool, abstract modeling is carried out on a certain power branch feeder or a plurality of independent feeder branches with a certain relation to form a plurality of inverted tree-shaped feeder networks;
s3, carrying out power failure study and judgment, power supply switching, dynamic updating of the model of the branch feeder network in the system, and triggering the construction or reconstruction process of each feeder network model;
s4, according to a feeder branch tree model established by the feeder network model, logically reasoning towards the root node direction or the child node direction by combining each node relation of the tree shape by adopting a depth-first traversal method, and carrying out analysis statistics;
s5, establishing a hash index list corresponding to the branch feeder tree model, wherein the index list and the tree model share node information including all information including computer memory addresses, and the hash index list can quickly select hit node information through objectid;
s6, loading model data from a real-time base of the power distribution automation system, storing the model data into a program memory, acquiring real-time attributes of each device in the real-time base, combining a Hash index list and double search data of a tree-shaped feeder model, adopting a depth-first traversal method, performing algorithm analysis according to a criterion principle, calculating to obtain a result, storing the result into the program memory, then storing the charged state of the device, the feeder node and the study and judgment information into the real-time base, and outputting the result and an analysis report;
and S7, outputting the result of the power failure research and judgment to other modules of the power distribution automation system, the GIS system, the load control metering system and the power distribution emergency maintenance system for use by each module of the system.
Further optimizing the technical solution, in S1, a distribution information network formed by combining a geographic information system GIS is required when establishing the feeder network topology schematic diagram.
Further optimizing the technical solution, in S2, the model design configuration tool performs logical analysis on the relationships among the root nodes, child nodes, and leaf nodes of the multiple inverted-tree-shaped feeder networks, describes the parent-child relationships, and stores the relationships into the database to form a global forest model mapping of the distribution automation system.
In step S3, when the power outage of the multi-branch feeder system is determined and different branch line interconnection switches are put into or taken out, the original multiple feeder networks will be changed, and the changed feeder networks will synchronize the model dynamic update of the branch feeder networks.
Further optimizing the technical solution, in S4, the feeder branch reciprocal tree model includes a description of relevant information of each node device, a branch or parent-child relationship of each node device, a device code of global uniqueness of a device node, i.e., an object identification code, and a parent-child relationship memory pointer.
Further optimizing the technical scheme, the information of each node device comprises switch action information, distribution transformer alarm information, customer repair information and planned power failure information, the information is organized and quantized to develop real-time attributes of the state of each device, and then the real-time attributes are written into a real-time database in the distribution automation system.
Further optimizing the technical solution, in S6, the result and analysis report mainly includes a study and judgment record table, a study and judgment distribution table, a power failure switch record table, a power failure distribution table, a power failure feeder record table, and a real-time power failure feeder table.
Further optimizing the technical solution, in S6, each device is an electrical device in the power grid, including electrical devices including a transformer, a circuit breaker, a disconnecting link, a fuse, a grounding switch, and a feeder.
Compared with the prior art, the invention provides a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model, which has the following beneficial effects: the power failure research and judgment criterion mainly comes from real-time information such as a feeder line real-time topological state, a switch position, an FTU online running state and the like of the distribution system and distribution transformation real-time data in the power utilization system. The criterion source of the power failure research and judgment system not only uses the information of the current stably-operated distribution system, but also more fully combines the distribution transformation data in the power utilization system, so that the research and judgment has the characteristics of sufficient criterion, comprehensive analysis, strong real-time performance and high accuracy. The method has important support significance and wide application prospect as data application and management starting of various systems such as a power dispatching system, an energy management system and the like.
Drawings
Fig. 1 is a schematic design flow diagram of a rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model according to the present invention;
fig. 2 is a schematic diagram illustrating a power outage evaluation deployment in a distribution automation system according to the present invention;
fig. 3 is a schematic diagram illustrating distribution of power outage judgment data flow in the distribution automation system according to the present invention;
FIG. 4 is a power outage investigation and determination embodiment performed by the present invention;
FIG. 5 is a schematic diagram of a power outage analysis related to a non-intelligent switch-induced power outage in the principle of the power outage judgment criterion according to the present invention;
FIG. 6 is a schematic diagram of a power outage analysis type related to an intelligent switch-induced power outage in the power outage research and judgment criterion principle according to the present invention;
FIG. 7 is a schematic diagram of a switch trip type of power failure related to power failure caused by an intelligent switch in the power failure research and judgment criterion principle according to the present invention;
FIG. 8 is a schematic diagram of a manually operated power outage type related to an intelligent switch-induced power outage in the power outage research and judgment criterion principle according to the present invention;
fig. 9 is a schematic diagram of a type of local operation power failure related to an intelligent switch-induced power failure in the power failure analysis criterion principle according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, a method for rapidly implementing power distribution automation power failure study and judgment based on a multi-tree model includes the following steps:
s1, establishing a feeder network topology schematic diagram according to the actual distribution network in the distribution automation system;
the power distribution information network formed by combining a Geographic Information System (GIS) is needed when a feeder network topological schematic diagram is established.
S2, combining with a model design configuration tool, abstract modeling is carried out on a certain power branch feeder or a plurality of independent feeder branches with a certain relation to form a plurality of inverted tree-shaped feeder networks;
the model design configuration tool carries out logical analysis on the relationship among the root nodes, the child nodes and the leaf nodes of the formed multiple inverted tree-shaped feeder networks, describes the parent-child relationship, and stores the parent-child relationship into a database to form global forest model mapping of the distribution automation system.
S3, carrying out power failure study and judgment, power supply switching, dynamic updating of the model of the branch feeder network in the system, and triggering the construction or reconstruction process of each feeder network model;
when power failure is researched and judged on a multi-branch feeder system, and different branch line contact switches are put into or taken out, the original multiple feeder networks are changed, and the changed feeder networks can be updated synchronously with models of the branch feeder networks.
S4, according to a feeder branch tree model established by the feeder network model, logically reasoning towards the root node direction or the child node direction by combining each node relation of the tree shape by adopting a depth-first traversal method, and carrying out analysis statistics;
the feeder branch reverse tree model comprises relevant information description of each node device, branch or parent-child relationship of each node device, globally unique device code of a device node, namely object identification code and parent-child relationship memory pointer, information of each node device comprises switch action information, distribution and transformation alarm information, customer repair information and planned power failure information, the information is organized and quantized to develop real-time attributes of the state of each device, and then the real-time attributes are written into a real-time database in the power distribution automation system.
S5, establishing a hash index list corresponding to the branch feeder tree model, wherein the index list and the tree model share node information including all information including computer memory addresses, and the hash index list can quickly select hit node information through objectid;
s6, loading model data from a real-time base of the power distribution automation system, storing the model data into a program memory, acquiring real-time attributes of each device in the real-time base, combining a Hash index list and double search data of a tree-shaped feeder model, adopting a depth-first traversal method, performing algorithm analysis according to a criterion principle, calculating to obtain a result, storing the result into the program memory, then storing the charged state of the device, the feeder node and the study and judgment information into the real-time base, and outputting the result and an analysis report;
the result and analysis report mainly comprises a study and judgment record table, a study and judgment distribution transformation table, a power failure switch record table, a power failure distribution transformation record table, a power failure feeder line record table and a real-time power failure feeder line table; each device is an electrical device in the power grid, including a transformer, a circuit breaker, a disconnecting link, a fuse, a ground switch, and a feeder.
And S7, outputting the result of the power failure research and judgment to other modules of the power distribution automation system, the GIS system, the load control metering system and the power distribution emergency maintenance system for use by each module of the system.
Wherein, the power failure research and judgment result at least comprises:
year, month, day, hour, minute and second of power failure starting time
Judging time studying and judging end time
Local county office
Affiliated substation
The feeder line
First power failure switch or first distribution transformer at power failure initial point
Power failure distribution variable and total power failure distribution variable
Total number of users in power failure users
Load value of power failure load and power failure loss
The power failure causes trip or comprehensive analysis
Power failure distribution transformer
The judging process judges the detailed record (the log mode exists).
Example two:
by adopting the method for quickly realizing the power distribution automation power failure study and judgment based on the multi-tree model in the first embodiment, on the basis of the distribution system and the negative control data, 4 types of work orders with study and judgment analysis, switch tripping, manual operation and local operation as power failure types are mainly generated. The judgment criterion and the work order type of the power failure caused by the non-intelligent switch and the intelligent switch are explained as follows:
(1) non-intelligent switch
And (4) carrying out judgment analysis based on the distribution transformation. As shown in fig. 5, the first switch position determination: the non-intelligent switch a, i.e. the most upstream switch on the feeder line where more than 80% of the distribution transformation fails.
The characteristics of study and judgment: the method solves the technical difficulty that the line power failure caused by a non-intelligent switch is difficult to analyze and position by using the accessed negative control data, and has the characteristics of high efficiency, intelligence, real-time performance and high accuracy.
(2) Intelligent switch
a. And (4) judging and analyzing based on FTU and distribution transform. As shown in fig. 6, the first switch position determination: the intelligent switch A, namely the feeder intelligent switch node and all FTU channel states of the downstream switch node are the most upstream switches which are stopped.
The characteristics of study and judgment: the method has the advantages that the problem of large studying and judging errors caused by overlarge on-off jitter of the field intelligent switch FTU due to the fact that the situation singly depends on FTU channel state studying and judging is solved by using the feeder line FTU channel information and combining the accessed negative control data, the problem of large studying and judging errors caused by the fact that the situation singly depends on the FTU channel state is combined intelligently, the situation that the situation depends on the situation that the data of the self-supply system is insufficient is avoided, and the studying and judging have the advantages of being reasonable and sufficient in criterion, comprehensive in analysis, and high in instanta.
b. And (4) judging and analyzing based on switch tripping, manual operation and local operation. As shown in fig. 7, 8 and 9, the first switch position determination of the power failure caused by the switch trip, the manual operation and the local operation: if a plurality of switches on the feeder line are connected and tripped in a threshold value (20s, power failure misjudgment caused by switch position jitter) in a connecting mode, the switches are combined into 1 power failure worksheet, and the first switch is the most upstream switch causing power failure; if the tripping time interval among the plurality of tripping switches exceeds 20s, a plurality of power failure work orders are respectively generated according to the time sequence, and the first switch is each corresponding switch causing power failure, namely the intelligent switch A.
The characteristics of study and judgment: the switch tripping, manual operation and local operation are based on power failure research and judgment of the data of the self-system, and the three types of research and judgment can accurately obtain the switch position of the intelligent switch, so the intelligent switch has the characteristics of definite power failure range positioning, accurate judgment, and high real-time performance and accuracy.
Example three:
by adopting the method for rapidly implementing power failure study and judgment of power distribution automation based on the multi-tree model in the first embodiment, as shown in fig. 2, the power failure study and judgment in the power distribution automation system is deployed in the area I and the area III in the power distribution automation system, and the information is deployed in the area I and the area III in the power distribution automation system. Meanwhile, as shown in fig. 3, the power failure study and judgment module interacts with data streams among the human-computer interface module, the real-time database, the commercial database, the load control metering system, the power distribution emergency maintenance system and other modules to form a power failure study and judgment data stream distribution network in the power distribution automation system.
Example four:
by adopting the method for rapidly implementing the power distribution automatic power failure study and judgment based on the multi-tree model in the first embodiment, the power distribution network shown in fig. 4 is subjected to study and judgment explanation of various types of power failures:
(1) and (6) fault tripping. If the switch K2 generates accident trip information, the analysis will judge that the feeder line has power failure event, and generate power failure analysis record while pushing the system alarm.
The recording includes: a first switch: k2
And (3) power failure switching: k2, K3, K4, K6 and knife switch A
And (3) power failure of the transformer: t1, T2, T3, T4
The type of power failure: fault power failure
(2) And (5) remote control operation. The remote control switch K3 trip information, study and judge analysis will judge the power failure incident of this feeder line, push the system and report an emergency, simultaneously, generate the record of study and judge of power failure.
The recording includes: a first switch: k3
And (3) power failure switching: k3
And (3) power failure of the transformer: t1, T2, T3
The type of power failure: operated manually
(3) And (4) carrying out in-situ position change. The switch K4 is operated on the spot, the system receives the K4 tripping information, the analysis can judge that the feeder line has a power failure event, and when the system alarm is pushed, a power failure analysis record is generated.
The recording includes: a first switch: k4
And (3) power failure switching: k4, K6, knife switch A
And (3) power failure of the transformer: t4
The type of power failure: in situ operation
(4) The channel stops being evaluated. If the communication states of the switches K2, K3, K4 and K6 corresponding to the FTUs are all sub-groups, the system judges that a power failure event possibly occurs on the feeder line according to the sub-groups, pushes the system alarm and generates a power failure research and judgment record at the same time.
The recording includes: a first switch: k2
And (3) power failure switching: k2, K3, K4, K6 and knife switch A
And (3) power failure of the transformer: t1, T2, T3, T4
The type of power failure: analysis of research and judgment
(5) And (5) researching and judging distribution transformer faults. And (3) obtaining the latest distribution transformer alarm information from the metering system, wherein power failure or phase failure events exist in T1, T2 and T3, and the system judges that a power failure event possibly occurs in the feeder line according to the power failure or phase failure event, pushes the system alarm and generates a power failure research and judgment record.
The recording includes: a first switch: k3
And (3) power failure switching: k3
And (3) power failure of the transformer: t1, T2, T3
The type of power failure: analysis of research and judgment
(6) And the distribution transformer is in a charged writing state. If the current fuse corresponding to the T1 is in the system state, but the latest T1 read from the metering system has an instantaneous value and the instantaneous active value is nonzero, the T1 is judged to be charged, the fuse state corresponding to the T1 is set to be closed, and a suspicious mark is placed.
(7) And (5) the state of the distribution transformer loss electric writing silk tool. And obtaining the latest distribution transformer warning information from the metering system, wherein a power failure or phase failure event exists in T1 and T2, but a power failure event does not exist in T3, the system judges the fuse states corresponding to T1 and T2 as scores, sets the fuse states corresponding to T1 and T2 as scores, and simultaneously sets a suspicious mark.
Through the analysis of the 7 power failure research and judgment implementation cases, the rapid implementation method for power distribution automation power failure research and judgment based on the multi-tree model is shown to have the characteristics of reasonable and sufficient criterion, comprehensive analysis and high real-time performance and accuracy.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A rapid implementation method for power distribution automation power failure research and judgment based on a multi-tree model is characterized by comprising the following steps:
s1, establishing a feeder network topology schematic diagram according to the actual distribution network in the distribution automation system;
s2, combining with a model design configuration tool, abstract modeling is carried out on a certain power branch feeder or a plurality of independent feeder branches with a certain relation to form a plurality of inverted tree-shaped feeder networks;
s3, carrying out power failure study and judgment, power supply switching, dynamic updating of the model of the branch feeder network in the system, and triggering the construction or reconstruction process of each feeder network model;
s4, according to a feeder branch tree model established by the feeder network model, logically reasoning towards the root node direction or the child node direction by combining each node relation of the tree shape by adopting a depth-first traversal method, and carrying out analysis statistics;
s5, establishing a hash index list corresponding to the branch feeder tree model, wherein the index list and the tree model share node information including all information including computer memory addresses, and the hash index list can quickly select hit node information through objectid;
s6, loading model data from a real-time base of the power distribution automation system, storing the model data into a program memory, acquiring real-time attributes of each device in the real-time base, combining a Hash index list and double search data of a tree-shaped feeder model, adopting a depth-first traversal method, performing algorithm analysis according to a criterion principle, calculating to obtain a result, storing the result into the program memory, then storing the charged state of the device, the feeder node and the study and judgment information into the real-time base, and outputting the result and an analysis report;
and S7, outputting the result of the power failure research and judgment to other modules of the power distribution automation system, the GIS system, the load control metering system and the power distribution emergency maintenance system for use by each module of the system.
2. The method of claim 1, wherein in step S1, a distribution information network formed in combination with a Geographic Information System (GIS) is required to establish the topology diagram of the feeder network.
3. The method as claimed in claim 1, wherein in S2, the model design and configuration tool performs logic analysis on relationships among root nodes, child nodes, and leaf nodes of the formed feeder network in inverted tree form, describes parent-child relationships, and stores the relationships in a database to form a global forest model map of the distribution automation system.
4. The method as claimed in claim 1, wherein in step S3, when the power outage of the multi-branch feeder system is determined and different branch line tie switches are switched on or off, the original multiple feeder networks are changed, and the changed feeder networks are updated dynamically in synchronization with the models of the branch feeder networks.
5. The method of claim 1, wherein in S4, the feeder branch inverse tree model includes a description of information related to each node device, a branch or parent-child relationship of each node device, a globally unique device code (objected identification code) of a device node, and a parent-child relationship memory pointer.
6. The method of claim 5, wherein the information of each node device includes switch action information, distribution transformation alarm information, customer repair information, and planned power failure information, and the information is organized and quantified to develop real-time attributes of the device states, and then written into a real-time database in the distribution automation system.
7. The method as claimed in claim 1, wherein in S6, the result and analysis report mainly includes a study and judgment record table, a study and judgment coordination table, a power failure switch record table, a power failure coordination table, a power failure feeder record table, and a real-time power failure feeder table.
8. The method for rapidly implementing power distribution automation power failure research and judgment based on the multi-tree model as claimed in claim 1, wherein in S6, each device is an electrical device in a power grid, including a transformer, a circuit breaker, a disconnecting link, a fuse, a grounding switch and a feeder.
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